考虑“源-荷-储”协同互动的主动配电网优化调度研究附Matlab代码

✅作者简介：热爱科研的Matlab仿真开发者，修心和技术同步精进，matlab项目合作可私信。

个人主页：Matlab科研工作室

个人信条：格物致知。

更多Matlab完整代码及仿真定制内容点击

智能优化算法神经网络预测雷达通信无线传感器电力系统

信号处理图像处理路径规划元胞自动机无人机

内容介绍

伴随智能电网的建设和清洁能源的开发利用,配电网中的负荷类型呈现多元化发展,分布式电源、可控负荷、储能等资源的增加让单向潮流的传统配电网逐渐向双向潮流的主动配电网结构转变。在能源结构转变的同时,清洁能源自身的随机性和波动性给配电网带来了更大的调峰压力,电力系统的安全稳定运行面临巨大的挑战。综合利用配电网内部的主动负荷资源参与优化调度,对提高电力系统供电可靠性和推进清洁能源发展有重要意义。本文旨在建立一种综合考虑主动配电网内部“源”、“荷”、“储”各类发用电资源的优化调度模型,降低配电网调度压力,提高能源利用率,增加清洁能源的消纳水平,并通过典型算例验证其可行性。首先,对主动配电网的架构和关键技术进行了介绍,并对主动配电网内部的分布式电源、需求侧负荷资源以及储能设备的发用电结构和特性进行研究分析。结合可控负荷与储能资源的响应策略、约束、成本等分别建立响应模型,提出了“源-荷-储”协同互动的两阶段优化调度策略。其次,建立了主动配电网优化调度模型,以配电网运行可靠性和经济性最优为目标函数,考虑了网络平衡约束、分布式电源功率约束、用户用电满意度约束以及储能系统的充放电功率约束等作为约束条件。在粒子群算法基础上采用理想点法求解多目标优化问题。最后,用IEEE-33节点系统作为算例,验证了优化调度模型与算法的可行性和正确性。通过与单一控制策略:“源-荷”协同响应、“源-储”协同响应优化结果进行对比分析,综合考虑“源-荷-储”协同响应的控制策略能更充分的利用配电网中各类资源,优化效果最好。参与优化调度的储能系统充放电切换频繁,增加了储能资源调用成本,提出了双储能运行策略,在原储能系统的出力计划不变的前提下,可大幅减少储能系统充放循环次数,延长系统使用寿命,并有效提高配电网优化调度的经济性。

首先，源是指电力系统中的发电机组或可再生能源发电设备。在主动配电网中，源的选择和调度对电力系统的运行效率和可靠性起着至关重要的作用。通过合理选择和调度发电机组和可再生能源发电设备，可以实现电力系统的最优供电，降低能源消耗和环境污染。

其次，荷是指电力系统中的负荷，即电力消费者。在主动配电网中，荷的需求和响应对电力系统的运行和优化调度也具有重要影响。通过实时监测和预测电力消费的需求，可以合理调度电力系统中各个节点的能量流动，提高电力系统的供需匹配度和响应速度。

最后，储是指电力系统中的能量储存设备，如电池、超级电容器等。在主动配电网中，储能技术的应用可以提供电力系统的备用能源和调峰填谷能力，增加电力系统的灵活性和可靠性。通过合理配置和调度储能设备，可以降低电力系统的峰谷差，提高电力系统的供电质量和稳定性。

在考虑“源-荷-储”协同互动的主动配电网优化调度研究中，需要综合考虑源、荷和储之间的相互关系和相互作用。首先，需要建立电力系统的数学模型，描述电力系统中各个节点的能量流动和能量转换过程。然后，可以采用优化算法和调度策略，对电力系统进行优化调度，实现电力系统的高效运行和供需匹配。

部分代码

function mpc = IEEE33BW%24小时动态潮流mpc.baseMVA = 100;%% system MVA basempc.baseMVA = 100;mpc.Vb=12.66;%% 节点负荷（标幺值,24小时值）mpc.Pload= [0.0004666666667,0.0005,0.0005666666667,0.0006333333333,0.0006666666667,0.0007333333333,0.0007666666667,0.0008,0.0008666666667,0.0009333333333,0.0009666666667,0.001,0.0009333333333,0.0008666666667,0.0008,0.0007,0.0006666666667,0.0007333333333,0.0008,0.0009333333333,0.0008666666667,0.0007333333333,0.0006,0.0005333333333;            0.00042,0.00045,0.00051,0.00057,0.0006,0.00066,0.00069,0.00072,0.00078,0.00084,0.00087,0.0009,0.00084,0.00078,0.00072,0.00063,0.0006,0.00066,0.00072,0.00084,0.00078,0.00066,0.00054,0.00048;            0.00056,0.0006,0.00068,0.00076,0.0008,0.00088,0.00092,0.00096,0.00104,0.00112,0.00116,0.0012,0.00112,0.00104,0.00096,0.00084,0.0008,0.00088,0.00096,0.00112,0.00104,0.00088,0.00072,0.00064;            0.00028,0.0003,0.00034,0.00038,0.0004,0.00044,0.00046,0.00048,0.00052,0.00056,0.00058,0.0006,0.00056,0.00052,0.00048,0.00042,0.0004,0.00044,0.00048,0.00056,0.00052,0.00044,0.00036,0.00032;            0.00028,0.0003,0.00034,0.00038,0.0004,0.00044,0.00046,0.00048,0.00052,0.00056,0.00058,0.0006,0.00056,0.00052,0.00048,0.00042,0.0004,0.00044,0.00048,0.00056,0.00052,0.00044,0.00036,0.00032;            0.0009333333333,0.001,0.001133333333,0.001266666667,0.001333333333,0.001466666667,0.001533333333,0.0016,0.001733333333,0.001866666667,0.001933333333,0.002,0.001866666667,0.001733333333,0.0016,0.0014,0.001333333333,0.001466666667,0.0016,0.001866666667,0.001733333333,0.001466666667,0.0012,0.001066666667;            0.0009333333333,0.001,0.001133333333,0.001266666667,0.001333333333,0.001466666667,0.001533333333,0.0016,0.001733333333,0.001866666667,0.001933333333,0.002,0.001866666667,0.001733333333,0.0016,0.0014,0.001333333333,0.001466666667,0.0016,0.001866666667,0.001733333333,0.001466666667,0.0012,0.001066666667;            0.00028,0.0003,0.00034,0.00038,0.0004,0.00044,0.00046,0.00048,0.00052,0.00056,0.00058,0.0006,0.00056,0.00052,0.00048,0.00042,0.0004,0.00044,0.00048,0.00056,0.00052,0.00044,0.00036,0.00032;            0.00028,0.0003,0.00034,0.00038,0.0004,0.00044,0.00046,0.00048,0.00052,0.00056,0.00058,0.0006,0.00056,0.00052,0.00048,0.00042,0.0004,0.00044,0.00048,0.00056,0.00052,0.00044,0.00036,0.00032;            0.00021,0.000225,0.000255,0.000285,0.0003,0.00033,0.000345,0.00036,0.00039,0.00042,0.000435,0.00045,0.00042,0.00039,0.00036,0.000315,0.0003,0.00033,0.00036,0.00042,0.00039,0.00033,0.00027,0.00024;            0.00028,0.0003,0.00034,0.00038,0.0004,0.00044,0.00046,0.00048,0.00052,0.00056,0.00058,0.0006,0.00056,0.00052,0.00048,0.00042,0.0004,0.00044,0.00048,0.00056,0.00052,0.00044,0.00036,0.00032;            0.00028,0.0003,0.00034,0.00038,0.0004,0.00044,0.00046,0.00048,0.00052,0.00056,0.00058,0.0006,0.00056,0.00052,0.00048,0.00042,0.0004,0.00044,0.00048,0.00056,0.00052,0.00044,0.00036,0.00032;            0.00056,0.0006,0.00068,0.00076,0.0008,0.00088,0.00092,0.00096,0.00104,0.00112,0.00116,0.0012,0.00112,0.00104,0.00096,0.00084,0.0008,0.00088,0.00096,0.00112,0.00104,0.00088,0.00072,0.00064;            0.00028,0.0003,0.00034,0.00038,0.0004,0.00044,0.00046,0.00048,0.00052,0.00056,0.00058,0.0006,0.00056,0.00052,0.00048,0.00042,0.0004,0.00044,0.00048,0.00056,0.00052,0.00044,0.00036,0.00032;            0.00028,0.0003,0.00034,0.00038,0.0004,0.00044,0.00046,0.00048,0.00052,0.00056,0.00058,0.0006,0.00056,0.00052,0.00048,0.00042,0.0004,0.00044,0.00048,0.00056,0.00052,0.00044,0.00036,0.00032;            0.00028,0.0003,0.00034,0.00038,0.0004,0.00044,0.00046,0.00048,0.00052,0.00056,0.00058,0.0006,0.00056,0.00052,0.00048,0.00042,0.0004,0.00044,0.00048,0.00056,0.00052,0.00044,0.00036,0.00032;            0.00042,0.00045,0.00051,0.00057,0.0006,0.00066,0.00069,0.00072,0.00078,0.00084,0.00087,0.0009,0.00084,0.00078,0.00072,0.00063,0.0006,0.00066,0.00072,0.00084,0.00078,0.00066,0.00054,0.00048;            0.00042,0.00045,0.00051,0.00057,0.0006,0.00066,0.00069,0.00072,0.00078,0.00084,0.00087,0.0009,0.00084,0.00078,0.00072,0.00063,0.0006,0.00066,0.00072,0.00084,0.00078,0.00066,0.00054,0.00048;            0.00042,0.00045,0.00051,0.00057,0.0006,0.00066,0.00069,0.00072,0.00078,0.00084,0.00087,0.0009,0.00084,0.00078,0.00072,0.00063,0.0006,0.00066,0.00072,0.00084,0.00078,0.00066,0.00054,0.00048;            0.00042,0.00045,0.00051,0.00057,0.0006,0.00066,0.00069,0.00072,0.00078,0.00084,0.00087,0.0009,0.00084,0.00078,0.00072,0.00063,0.0006,0.00066,0.00072,0.00084,0.00078,0.00066,0.00054,0.00048;            0.00042,0.00045,0.00051,0.00057,0.0006,0.00066,0.00069,0.00072,0.00078,0.00084,0.00087,0.0009,0.00084,0.00078,0.00072,0.00063,0.0006,0.00066,0.00072,0.00084,0.00078,0.00066,0.00054,0.00048;            0.00042,0.00045,0.00051,0.00057,0.0006,0.00066,0.00069,0.00072,0.00078,0.00084,0.00087,0.0009,0.00084,0.00078,0.00072,0.00063,0.0006,0.00066,0.00072,0.00084,0.00078,0.00066,0.00054,0.00048;            0.00196,0.0021,0.00238,0.00266,0.0028,0.00308,0.00322,0.00336,0.00364,0.00392,0.00406,0.0042,0.00392,0.00364,0.00336,0.00294,0.0028,0.00308,0.00336,0.00392,0.00364,0.00308,0.00252,0.00224;            0.00196,0.0021,0.00238,0.00266,0.0028,0.00308,0.00322,0.00336,0.00364,0.00392,0.00406,0.0042,0.00392,0.00364,0.00336,0.00294,0.0028,0.00308,0.00336,0.00392,0.00364,0.00308,0.00252,0.00224;            0.00028,0.0003,0.00034,0.00038,0.0004,0.00044,0.00046,0.00048,0.00052,0.00056,0.00058,0.0006,0.00056,0.00052,0.00048,0.00042,0.0004,0.00044,0.00048,0.00056,0.00052,0.00044,0.00036,0.00032;            0.00028,0.0003,0.00034,0.00038,0.0004,0.00044,0.00046,0.00048,0.00052,0.00056,0.00058,0.0006,0.00056,0.00052,0.00048,0.00042,0.0004,0.00044,0.00048,0.00056,0.00052,0.00044,0.00036,0.00032;            0.00028,0.0003,0.00034,0.00038,0.0004,0.00044,0.00046,0.00048,0.00052,0.00056,0.00058,0.0006,0.00056,0.00052,0.00048,0.00042,0.0004,0.00044,0.00048,0.00056,0.00052,0.00044,0.00036,0.00032;            0.00056,0.0006,0.00068,0.00076,0.0008,0.00088,0.00092,0.00096,0.00104,0.00112,0.00116,0.0012,0.00112,0.00104,0.00096,0.00084,0.0008,0.00088,0.00096,0.00112,0.00104,0.00088,0.00072,0.00064;            0.0009333333333,0.001,0.001133333333,0.001266666667,0.001333333333,0.001466666667,0.001533333333,0.0016,0.001733333333,0.001866666667,0.001933333333,0.002,0.001866666667,0.001733333333,0.0016,0.0014,0.001333333333,0.001466666667,0.0016,0.001866666667,0.001733333333,0.001466666667,0.0012,0.001066666667;            0.0007,0.00075,0.00085,0.00095,0.001,0.0011,0.00115,0.0012,0.0013,0.0014,0.00145,0.0015,0.0014,0.0013,0.0012,0.00105,0.001,0.0011,0.0012,0.0014,0.0013,0.0011,0.0009,0.0008;            0.00098,0.00105,0.00119,0.00133,0.0014,0.00154,0.00161,0.00168,0.00182,0.00196,0.00203,0.0021,0.00196,0.00182,0.00168,0.00147,0.0014,0.00154,0.00168,0.00196,0.00182,0.00154,0.00126,0.00112;            0.00028,0.0003,0.00034,0.00038,0.0004,0.00044,0.00046,0.00048,0.00052,0.00056,0.00058,0.0006,0.00056,0.00052,0.00048,0.00042,0.0004,0.00044,0.00048,0.00056,0.00052,0.00044,0.00036,0.00032;            0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];mpc.Qload= [0.00028,0.0003,0.00034,0.00038,0.0004,0.00044,0.00046,0.00048,0.00052,0.00056,0.00058,0.0006,0.00056,0.00052,0.00048,0.00042,0.0004,0.00044,0.00048,0.00056,0.00052,0.00044,0.00036,0.00032;            0.0001866666667,0.0002,0.0002266666667,0.0002533333333,0.0002666666667,0.0002933333333,0.0003066666667,0.00032,0.0003466666667,0.0003733333333,0.0003866666667,0.0004,0.0003733333333,0.0003466666667,0.00032,0.00028,0.0002666666667,0.0002933333333,0.00032,0.0003733333333,0.0003466666667,0.0002933333333,0.00024,0.0002133333333;            0.0003733333333,0.0004,0.0004533333333,0.0005066666667,0.0005333333333,0.0005866666667,0.0006133333333,0.00064,0.0006933333333,0.0007466666667,0.0007733333333,0.0008,0.0007466666667,0.0006933333333,0.00064,0.00056,0.0005333333333,0.0005866666667,0.00064,0.0007466666667,0.0006933333333,0.0005866666667,0.00048,0.0004266666667;            0.00014,0.00015,0.00017,0.00019,0.0002,0.00022,0.00023,0.00024,0.00026,0.00028,0.00029,0.0003,0.00028,0.00026,0.00024,0.00021,0.0002,0.00022,0.00024,0.00028,0.00026,0.00022,0.00018,0.00016;            9.333333333e-05,0.0001,0.0001133333333,0.0001266666667,0.0001333333333,0.0001466666667,0.0001533333333,0.00016,0.0001733333333,0.0001866666667,0.0001933333333,0.0002,0.0001866666667,0.0001733333333,0.00016,0.00014,0.0001333333333,0.0001466666667,0.00016,0.0001866666667,0.0001733333333,0.0001466666667,0.00012,0.0001066666667;            0.0004666666667,0.0005,0.0005666666667,0.0006333333333,0.0006666666667,0.0007333333333,0.0007666666667,0.0008,0.0008666666667,0.0009333333333,0.0009666666667,0.001,0.0009333333333,0.0008666666667,0.0008,0.0007,0.0006666666667,0.0007333333333,0.0008,0.0009333333333,0.0008666666667,0.0007333333333,0.0006,0.0005333333333;            0.0004666666667,0.0005,0.0005666666667,0.0006333333333,0.0006666666667,0.0007333333333,0.0007666666667,0.0008,0.0008666666667,0.0009333333333,0.0009666666667,0.001,0.0009333333333,0.0008666666667,0.0008,0.0007,0.0006666666667,0.0007333333333,0.0008,0.0009333333333,0.0008666666667,0.0007333333333,0.0006,0.0005333333333;            9.333333333e-05,0.0001,0.0001133333333,0.0001266666667,0.0001333333333,0.0001466666667,0.0001533333333,0.00016,0.0001733333333,0.0001866666667,0.0001933333333,0.0002,0.0001866666667,0.0001733333333,0.00016,0.00014,0.0001333333333,0.0001466666667,0.00016,0.0001866666667,0.0001733333333,0.0001466666667,0.00012,0.0001066666667;            9.333333333e-05,0.0001,0.0001133333333,0.0001266666667,0.0001333333333,0.0001466666667,0.0001533333333,0.00016,0.0001733333333,0.0001866666667,0.0001933333333,0.0002,0.0001866666667,0.0001733333333,0.00016,0.00014,0.0001333333333,0.0001466666667,0.00016,0.0001866666667,0.0001733333333,0.0001466666667,0.00012,0.0001066666667;            0.00014,0.00015,0.00017,0.00019,0.0002,0.00022,0.00023,0.00024,0.00026,0.00028,0.00029,0.0003,0.00028,0.00026,0.00024,0.00021,0.0002,0.00022,0.00024,0.00028,0.00026,0.00022,0.00018,0.00016;            0.0001633333333,0.000175,0.0001983333333,0.0002216666667,0.0002333333333,0.0002566666667,0.0002683333333,0.00028,0.0003033333333,0.0003266666667,0.0003383333333,0.00035,0.0003266666667,0.0003033333333,0.00028,0.000245,0.0002333333333,0.0002566666667,0.00028,0.0003266666667,0.0003033333333,0.0002566666667,0.00021,0.0001866666667;            0.0001633333333,0.000175,0.0001983333333,0.0002216666667,0.0002333333333,0.0002566666667,0.0002683333333,0.00028,0.0003033333333,0.0003266666667,0.0003383333333,0.00035,0.0003266666667,0.0003033333333,0.00028,0.000245,0.0002333333333,0.0002566666667,0.00028,0.0003266666667,0.0003033333333,0.0002566666667,0.00021,0.0001866666667;            0.0003733333333,0.0004,0.0004533333333,0.0005066666667,0.0005333333333,0.0005866666667,0.0006133333333,0.00064,0.0006933333333,0.0007466666667,0.0007733333333,0.0008,0.0007466666667,0.0006933333333,0.00064,0.00056,0.0005333333333,0.0005866666667,0.00064,0.0007466666667,0.0006933333333,0.0005866666667,0.00048,0.0004266666667;            4.666666667e-05,5.e-05,5.666666667e-05,6.333333333e-05,6.666666667e-05,7.333333333e-05,7.666666667e-05,8.e-05,8.666666667e-05,9.333333333e-05,9.666666667e-05,0.0001,9.333333333e-05,8.666666667e-05,8.e-05,7.e-05,6.666666667e-05,7.333333333e-05,8.e-05,9.333333333e-05,8.666666667e-05,7.333333333e-05,6.e-05,5.333333333e-05;            9.333333333e-05,0.0001,0.0001133333333,0.0001266666667,0.0001333333333,0.0001466666667,0.0001533333333,0.00016,0.0001733333333,0.0001866666667,0.0001933333333,0.0002,0.0001866666667,0.0001733333333,0.00016,0.00014,0.0001333333333,0.0001466666667,0.00016,0.0001866666667,0.0001733333333,0.0001466666667,0.00012,0.0001066666667;            9.333333333e-05,0.0001,0.0001133333333,0.0001266666667,0.0001333333333,0.0001466666667,0.0001533333333,0.00016,0.0001733333333,0.0001866666667,0.0001933333333,0.0002,0.0001866666667,0.0001733333333,0.00016,0.00014,0.0001333333333,0.0001466666667,0.00016,0.0001866666667,0.0001733333333,0.0001466666667,0.00012,0.0001066666667;            0.0001866666667,0.0002,0.0002266666667,0.0002533333333,0.0002666666667,0.0002933333333,0.0003066666667,0.00032,0.0003466666667,0.0003733333333,0.0003866666667,0.0004,0.0003733333333,0.0003466666667,0.00032,0.00028,0.0002666666667,0.0002933333333,0.00032,0.0003733333333,0.0003466666667,0.0002933333333,0.00024,0.0002133333333;            0.0001866666667,0.0002,0.0002266666667,0.0002533333333,0.0002666666667,0.0002933333333,0.0003066666667,0.00032,0.0003466666667,0.0003733333333,0.0003866666667,0.0004,0.0003733333333,0.0003466666667,0.00032,0.00028,0.0002666666667,0.0002933333333,0.00032,0.0003733333333,0.0003466666667,0.0002933333333,0.00024,0.0002133333333;            0.0001866666667,0.0002,0.0002266666667,0.0002533333333,0.0002666666667,0.0002933333333,0.0003066666667,0.00032,0.0003466666667,0.0003733333333,0.0003866666667,0.0004,0.0003733333333,0.0003466666667,0.00032,0.00028,0.0002666666667,0.0002933333333,0.00032,0.0003733333333,0.0003466666667,0.0002933333333,0.00024,0.0002133333333;            0.0001866666667,0.0002,0.0002266666667,0.0002533333333,0.0002666666667,0.0002933333333,0.0003066666667,0.00032,0.0003466666667,0.0003733333333,0.0003866666667,0.0004,0.0003733333333,0.0003466666667,0.00032,0.00028,0.0002666666667,0.0002933333333,0.00032,0.0003733333333,0.0003466666667,0.0002933333333,0.00024,0.0002133333333;            0.0001866666667,0.0002,0.0002266666667,0.0002533333333,0.0002666666667,0.0002933333333,0.0003066666667,0.00032,0.0003466666667,0.0003733333333,0.0003866666667,0.0004,0.0003733333333,0.0003466666667,0.00032,0.00028,0.0002666666667,0.0002933333333,0.00032,0.0003733333333,0.0003466666667,0.0002933333333,0.00024,0.0002133333333;            0.0002333333333,0.00025,0.0002833333333,0.0003166666667,0.0003333333333,0.0003666666667,0.0003833333333,0.0004,0.0004333333333,0.0004666666667,0.0004833333333,0.0005,0.0004666666667,0.0004333333333,0.0004,0.00035,0.0003333333333,0.0003666666667,0.0004,0.0004666666667,0.0004333333333,0.0003666666667,0.0003,0.0002666666667;            0.0009333333333,0.001,0.001133333333,0.001266666667,0.001333333333,0.001466666667,0.001533333333,0.0016,0.001733333333,0.001866666667,0.001933333333,0.002,0.001866666667,0.001733333333,0.0016,0.0014,0.001333333333,0.001466666667,0.0016,0.001866666667,0.001733333333,0.001466666667,0.0012,0.001066666667;            0.0009333333333,0.001,0.001133333333,0.001266666667,0.001333333333,0.001466666667,0.001533333333,0.0016,0.001733333333,0.001866666667,0.001933333333,0.002,0.001866666667,0.001733333333,0.0016,0.0014,0.001333333333,0.001466666667,0.0016,0.001866666667,0.001733333333,0.001466666667,0.0012,0.001066666667;            0.0001166666667,0.000125,0.0001416666667,0.0001583333333,0.0001666666667,0.0001833333333,0.0001916666667,0.0002,0.0002166666667,0.0002333333333,0.0002416666667,0.00025,0.0002333333333,0.0002166666667,0.0002,0.000175,0.0001666666667,0.0001833333333,0.0002,0.0002333333333,0.0002166666667,0.0001833333333,0.00015,0.0001333333333;            0.0001166666667,0.000125,0.0001416666667,0.0001583333333,0.0001666666667,0.0001833333333,0.0001916666667,0.0002,0.0002166666667,0.0002333333333,0.0002416666667,0.00025,0.0002333333333,0.0002166666667,0.0002,0.000175,0.0001666666667,0.0001833333333,0.0002,0.0002333333333,0.0002166666667,0.0001833333333,0.00015,0.0001333333333;            9.333333333e-05,0.0001,0.0001133333333,0.0001266666667,0.0001333333333,0.0001466666667,0.0001533333333,0.00016,0.0001733333333,0.0001866666667,0.0001933333333,0.0002,0.0001866666667,0.0001733333333,0.00016,0.00014,0.0001333333333,0.0001466666667,0.00016,0.0001866666667,0.0001733333333,0.0001466666667,0.00012,0.0001066666667;            0.0003266666667,0.00035,0.0003966666667,0.0004433333333,0.0004666666667,0.0005133333333,0.0005366666667,0.00056,0.0006066666667,0.0006533333333,0.0006766666667,0.0007,0.0006533333333,0.0006066666667,0.00056,0.00049,0.0004666666667,0.0005133333333,0.00056,0.0006533333333,0.0006066666667,0.0005133333333,0.00042,0.0003733333333;            0.0028,0.003,0.0034,0.0038,0.004,0.0044,0.0046,0.0048,0.0052,0.0056,0.0058,0.006,0.0056,0.0052,0.0048,0.0042,0.004,0.0044,0.0048,0.0056,0.0052,0.0044,0.0036,0.0032;            0.0003266666667,0.00035,0.0003966666667,0.0004433333333,0.0004666666667,0.0005133333333,0.0005366666667,0.00056,0.0006066666667,0.0006533333333,0.0006766666667,0.0007,0.0006533333333,0.0006066666667,0.00056,0.00049,0.0004666666667,0.0005133333333,0.00056,0.0006533333333,0.0006066666667,0.0005133333333,0.00042,0.0003733333333;            0.0004666666667,0.0005,0.0005666666667,0.0006333333333,0.0006666666667,0.0007333333333,0.0007666666667,0.0008,0.0008666666667,0.0009333333333,0.0009666666667,0.001,0.0009333333333,0.0008666666667,0.0008,0.0007,0.0006666666667,0.0007333333333,0.0008,0.0009333333333,0.0008666666667,0.0007333333333,0.0006,0.0005333333333;            0.0001866666667,0.0002,0.0002266666667,0.0002533333333,0.0002666666667,0.0002933333333,0.0003066666667,0.00032,0.0003466666667,0.0003733333333,0.0003866666667,0.0004,0.0003733333333,0.0003466666667,0.00032,0.00028,0.0002666666667,0.0002933333333,0.00032,0.0003733333333,0.0003466666667,0.0002933333333,0.00024,0.0002133333333;            0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];%% 支路mpc.branch= [33.0000000000000 + 0.00000000000000i,1.00000000000000 + 0.00000000000000i,0.0922000000000000 + 0.0470000000000000i;            1.00000000000000 + 0.00000000000000i,2.00000000000000 + 0.00000000000000i,0.493000000000000 + 0.251100000000000i;            2.00000000000000 + 0.00000000000000i,3.00000000000000 + 0.00000000000000i,0.366000000000000 + 0.186400000000000i;            3.00000000000000 + 0.00000000000000i,4.00000000000000 + 0.00000000000000i,0.381100000000000 + 0.194100000000000i;            4.00000000000000 + 0.00000000000000i,5.00000000000000 + 0.00000000000000i,0.819000000000000 + 0.707000000000000i;            5.00000000000000 + 0.00000000000000i,6.00000000000000 + 0.00000000000000i,0.187200000000000 + 0.618800000000000i;            6.00000000000000 + 0.00000000000000i,7.00000000000000 + 0.00000000000000i,0.711400000000000 + 0.235100000000000i;            7.00000000000000 + 0.00000000000000i,8.00000000000000 + 0.00000000000000i,1.03000000000000 + 0.740000000000000i;            8.00000000000000 + 0.00000000000000i,9.00000000000000 + 0.00000000000000i,1.04400000000000 + 0.740000000000000i;            9.00000000000000 + 0.00000000000000i,10.0000000000000 + 0.00000000000000i,0.196600000000000 + 0.0650000000000000i;            10.0000000000000 + 0.00000000000000i,11.0000000000000 + 0.00000000000000i,0.374400000000000 + 0.123800000000000i;            11.0000000000000 + 0.00000000000000i,12.0000000000000 + 0.00000000000000i,1.46800000000000 + 1.15500000000000i;            12.0000000000000 + 0.00000000000000i,13.0000000000000 + 0.00000000000000i,0.541600000000000 + 0.712900000000000i;            13.0000000000000 + 0.00000000000000i,14.0000000000000 + 0.00000000000000i,0.591000000000000 + 0.526000000000000i;            14.0000000000000 + 0.00000000000000i,15.0000000000000 + 0.00000000000000i,0.746300000000000 + 0.545000000000000i;            15.0000000000000 + 0.00000000000000i,16.0000000000000 + 0.00000000000000i,1.28900000000000 + 1.72100000000000i;            16.0000000000000 + 0.00000000000000i,17.0000000000000 + 0.00000000000000i,0.372000000000000 + 0.574000000000000i;            1.00000000000000 + 0.00000000000000i,18.0000000000000 + 0.00000000000000i,0.164000000000000 + 0.156500000000000i;            18.0000000000000 + 0.00000000000000i,19.0000000000000 + 0.00000000000000i,1.50420000000000 + 1.35540000000000i;            19.0000000000000 + 0.00000000000000i,20.0000000000000 + 0.00000000000000i,0.409500000000000 + 0.478400000000000i;            20.0000000000000 + 0.00000000000000i,21.0000000000000 + 0.00000000000000i,0.708900000000000 + 0.937300000000000i;            2.00000000000000 + 0.00000000000000i,22.0000000000000 + 0.00000000000000i,0.451200000000000 + 0.308300000000000i;            22.0000000000000 + 0.00000000000000i,23.0000000000000 + 0.00000000000000i,0.898000000000000 + 0.709100000000000i;            23.0000000000000 + 0.00000000000000i,24.0000000000000 + 0.00000000000000i,0.896000000000000 + 0.701100000000000i;            5.00000000000000 + 0.00000000000000i,25.0000000000000 + 0.00000000000000i,0.203000000000000 + 0.103400000000000i;            25.0000000000000 + 0.00000000000000i,26.0000000000000 + 0.00000000000000i,0.284200000000000 + 0.144700000000000i;            26.0000000000000 + 0.00000000000000i,27.0000000000000 + 0.00000000000000i,1.05900000000000 + 0.933700000000000i;            27.0000000000000 + 0.00000000000000i,28.0000000000000 + 0.00000000000000i,0.804200000000000 + 0.700600000000000i;            28.0000000000000 + 0.00000000000000i,29.0000000000000 + 0.00000000000000i,0.507500000000000 + 0.258500000000000i;            29.0000000000000 + 0.00000000000000i,30.0000000000000 + 0.00000000000000i,0.974400000000000 + 0.963000000000000i;            30.0000000000000 + 0.00000000000000i,31.0000000000000 + 0.00000000000000i,0.310500000000000 + 0.361900000000000i;            31.0000000000000 + 0.00000000000000i,32.0000000000000 + 0.00000000000000i,0.341000000000000 + 0.536200000000000i];mpc.branch_CG= [33.0000000000000 + 0.00000000000000i,1.00000000000000 + 0.00000000000000i,0.0922000000000000 + 0.0470000000000000i;            1.00000000000000 + 0.00000000000000i,2.00000000000000 + 0.00000000000000i,0.493000000000000 + 0.251100000000000i;            2.00000000000000 + 0.00000000000000i,3.00000000000000 + 0.00000000000000i,0.366000000000000 + 0.186400000000000i;            3.00000000000000 + 0.00000000000000i,4.00000000000000 + 0.00000000000000i,0.381100000000000 + 0.194100000000000i;            4.00000000000000 + 0.00000000000000i,5.00000000000000 + 0.00000000000000i,0.819000000000000 + 0.707000000000000i;            5.00000000000000 + 0.00000000000000i,6.00000000000000 + 0.00000000000000i,0.187200000000000 + 0.618800000000000i;            6.00000000000000 + 0.00000000000000i,7.00000000000000 + 0.00000000000000i,0.711400000000000 + 0.235100000000000i;            7.00000000000000 + 0.00000000000000i,8.00000000000000 + 0.00000000000000i,1.03000000000000 + 0.740000000000000i;            8.00000000000000 + 0.00000000000000i,9.00000000000000 + 0.00000000000000i,1.04400000000000 + 0.740000000000000i;            9.00000000000000 + 0.00000000000000i,10.0000000000000 + 0.00000000000000i,0.196600000000000 + 0.0650000000000000i;            10.0000000000000 + 0.00000000000000i,11.0000000000000 + 0.00000000000000i,0.374400000000000 + 0.123800000000000i;            11.0000000000000 + 0.00000000000000i,12.0000000000000 + 0.00000000000000i,1.46800000000000 + 1.15500000000000i;            12.0000000000000 + 0.00000000000000i,13.0000000000000 + 0.00000000000000i,0.541600000000000 + 0.712900000000000i;            13.0000000000000 + 0.00000000000000i,14.0000000000000 + 0.00000000000000i,0.591000000000000 + 0.526000000000000i;            14.0000000000000 + 0.00000000000000i,15.0000000000000 + 0.00000000000000i,0.746300000000000 + 0.545000000000000i;            15.0000000000000 + 0.00000000000000i,16.0000000000000 + 0.00000000000000i,1.28900000000000 + 1.72100000000000i;            16.0000000000000 + 0.00000000000000i,17.0000000000000 + 0.00000000000000i,0.372000000000000 + 0.574000000000000i;            1.00000000000000 + 0.00000000000000i,18.0000000000000 + 0.00000000000000i,0.164000000000000 + 0.156500000000000i;            18.0000000000000 + 0.00000000000000i,19.0000000000000 + 0.00000000000000i,1.50420000000000 + 1.35540000000000i;            19.0000000000000 + 0.00000000000000i,20.0000000000000 + 0.00000000000000i,0.409500000000000 + 0.478400000000000i;            20.0000000000000 + 0.00000000000000i,21.0000000000000 + 0.00000000000000i,0.708900000000000 + 0.937300000000000i;            2.00000000000000 + 0.00000000000000i,22.0000000000000 + 0.00000000000000i,0.451200000000000 + 0.308300000000000i;            22.0000000000000 + 0.00000000000000i,23.0000000000000 + 0.00000000000000i,0.898000000000000 + 0.709100000000000i;            23.0000000000000 + 0.00000000000000i,24.0000000000000 + 0.00000000000000i,0.896000000000000 + 0.701100000000000i;            5.00000000000000 + 0.00000000000000i,25.0000000000000 + 0.00000000000000i,0.203000000000000 + 0.103400000000000i;            25.0000000000000 + 0.00000000000000i,26.0000000000000 + 0.00000000000000i,0.284200000000000 + 0.144700000000000i;            26.0000000000000 + 0.00000000000000i,27.0000000000000 + 0.00000000000000i,1.05900000000000 + 0.933700000000000i;            27.0000000000000 + 0.00000000000000i,28.0000000000000 + 0.00000000000000i,0.804200000000000 + 0.700600000000000i;            28.0000000000000 + 0.00000000000000i,29.0000000000000 + 0.00000000000000i,0.507500000000000 + 0.258500000000000i;            29.0000000000000 + 0.00000000000000i,30.0000000000000 + 0.00000000000000i,0.974400000000000 + 0.963000000000000i;            30.0000000000000 + 0.00000000000000i,31.0000000000000 + 0.00000000000000i,0.310500000000000 + 0.361900000000000i;            31.0000000000000 + 0.00000000000000i,32.0000000000000 + 0.00000000000000i,0.341000000000000 + 0.536200000000000i;            7  20  2.0000+2.0000i;            8  14  2.0000+2.0000i;            11  21  2.0000+2.0000i;            17  32  0.5000+0.5000i;            24  28  0.5000+0.5000i];mpc.branch1 = [  %% (r and x specified in ohms here, converted to p.u. below)  1  2  0.0922  0.0470  0  0  0  0  0  0  1  -360  360;  2  3  0.4930  0.2511  0  0  0  0  0  0  1  -360  360;  3  4  0.3660  0.1864  0  0  0  0  0  0  1  -360  360;  4  5  0.3811  0.1941  0  0  0  0  0  0  1  -360  360;  5  6  0.8190  0.7070  0  0  0  0  0  0  1  -360  360;  6  7  0.1872  0.6188  0  0  0  0  0  0  1  -360  360;  7  8  0.7114  0.2351  0  0  0  0  0  0  1  -360  360;  8  9  1.0300  0.7400  0  0  0  0  0  0  1  -360  360;  9  10  1.0440  0.7400  0  0  0  0  0  0  1  -360  360;  10  11  0.1966  0.0650  0  0  0  0  0  0  1  -360  360;  11  12  0.3744  0.1238  0  0  0  0  0  0  1  -360  360;  12  13  1.4680  1.1550  0  0  0  0  0  0  1  -360  360;  13  14  0.5416  0.7129  0  0  0  0  0  0  1  -360  360;  14  15  0.5910  0.5260  0  0  0  0  0  0  1  -360  360;  15  16  0.7463  0.5450  0  0  0  0  0  0  1  -360  360;  16  17  1.2890  1.7210  0  0  0  0  0  0  1  -360  360;  17  18  0.7320  0.5740  0  0  0  0  0  0  1  -360  360;  2  19  0.1640  0.1565  0  0  0  0  0  0  1  -360  360;  19  20  1.5042  1.3554  0  0  0  0  0  0  1  -360  360;  20  21  0.4095  0.4784  0  0  0  0  0  0  1  -360  360;  21  22  0.7089  0.9373  0  0  0  0  0  0  1  -360  360;  3  23  0.4512  0.3083  0  0  0  0  0  0  1  -360  360;  23  24  0.8980  0.7091  0  0  0  0  0  0  1  -360  360;  24  25  0.8960  0.7011  0  0  0  0  0  0  1  -360  360;  6  26  0.2030  0.1034  0  0  0  0  0  0  1  -360  360;  26  27  0.2842  0.1447  0  0  0  0  0  0  1  -360  360;  27  28  1.0590  0.9337  0  0  0  0  0  0  1  -360  360;  28  29  0.8042  0.7006  0  0  0  0  0  0  1  -360  360;  29  30  0.5075  0.2585  0  0  0  0  0  0  1  -360  360;  30  31  0.9744  0.9630  0  0  0  0  0  0  1  -360  360;  31  32  0.3105  0.3619  0  0  0  0  0  0  1  -360  360;  32  33  0.3410  0.5302  0  0  0  0  0  0  1  -360  360;];

⛳️ 运行结果

参考文献

[1] 邓忻依.考虑"源-荷-储"协同互动的主动配电网优化调度研究[J].华北电力大学(北京), 2019.

[2] 诸晓骏.考虑电动汽车有序充电的主动配电网源网荷优化调度研究[D].东南大学,2016.DOI:10.7666/d.Y3141913.

部分理论引用网络文献，若有侵权联系博主删除

关注我领取海量matlab电子书和数学建模资料

私信完整代码和数据获取及论文数模仿真定制

1 各类智能优化算法改进及应用

生产调度、经济调度、装配线调度、充电优化、车间调度、发车优化、水库调度、三维装箱、物流选址、货位优化、公交排班优化、充电桩布局优化、车间布局优化、集装箱船配载优化、水泵组合优化、解医疗资源分配优化、设施布局优化、可视域基站和无人机选址优化

2 机器学习和深度学习方面

卷积神经网络（CNN）、LSTM、支持向量机（SVM）、最小二乘支持向量机（LSSVM）、极限学习机（ELM）、核极限学习机（KELM）、BP、RBF、宽度学习、DBN、RF、RBF、DELM、XGBOOST、TCN实现风电预测、光伏预测、电池寿命预测、辐射源识别、交通流预测、负荷预测、股价预测、PM2.5浓度预测、电池健康状态预测、水体光学参数反演、NLOS信号识别、地铁停车精准预测、变压器故障诊断

2.图像处理方面

图像识别、图像分割、图像检测、图像隐藏、图像配准、图像拼接、图像融合、图像增强、图像压缩感知

3 路径规划方面

旅行商问题（TSP）、车辆路径问题（VRP、MVRP、CVRP、VRPTW等）、无人机三维路径规划、无人机协同、无人机编队、机器人路径规划、栅格地图路径规划、多式联运运输问题、车辆协同无人机路径规划、天线线性阵列分布优化、车间布局优化

4 无人机应用方面

无人机路径规划、无人机控制、无人机编队、无人机协同、无人机任务分配、无人机安全通信轨迹在线优化

5 无线传感器定位及布局方面

传感器部署优化、通信协议优化、路由优化、目标定位优化、Dv-Hop定位优化、Leach协议优化、WSN覆盖优化、组播优化、RSSI定位优化

6 信号处理方面

信号识别、信号加密、信号去噪、信号增强、雷达信号处理、信号水印嵌入提取、肌电信号、脑电信号、信号配时优化

7 电力系统方面

微电网优化、无功优化、配电网重构、储能配置

8 元胞自动机方面

交通流人群疏散病毒扩散晶体生长

9 雷达方面

卡尔曼滤波跟踪、航迹关联、航迹融合

你可能感兴趣的:(微电网,matlab,开发语言)

matlab按行读取txt文件数据集地上悬河 matlab 开发语言
功能：使用Matlab按行读取txt文件，按照特定符号进行分割后加入数组中fid=fopen('coordinate.txt');%首先打开文本文件coordinate.txttemp=[]while~feof(fid)%while循环表示文件指针没到达末尾，则继续%每次读取一行,str是字符串格式str=fgetl(fid);%以','作为分割数据的字符,结果为cell数组s=regexp(st
如何呵护孩子的兴趣婉叶老师
“老师你教国画吗？”又一个微友这样问我。“怎么啦？”我很想听她后面的言外之意。“我觉得我家孩子很喜欢画画的，可是感觉她画得一般，没什么天赋啊……”感觉这位妈妈有些小焦虑。“传些作品给我看看呢。”那位妈妈传了三张。我先不看画怎样，只看孩子的状态。因为一个孩子是否对参加的课外班真有兴趣这是关键。我看孩子笑得很开心，手里的画也已经有了一些浓淡变化。按专业的眼光看，虽说从造型上、笔法上有待进一步提升，但是
石墨烯薄膜行业调研报告（一）方象知产研究院
01石墨烯类别（一）按厚度1.单碳层石墨烯（singlelayergraphene）：由单个碳原子层构成的大平面共轭结构材料，目前石墨烯的大多数奇特性质都是基于此材料2.多层石墨烯或少数碳层石墨烯（afewlayergraphene）：厚度在2~10碳层的石墨薄片材料，研究表明，其层内电子运动行为有别于石墨烯材料3.石墨烯微片（graphenenonaplatelets）：厚度在10~100纳米厚
小红书打广告引流小红书引流招式大全九千营销
随着社交媒体的不断发展，越来越多的品牌开始在小红书上进行推广和引流。小红书是一个以用户分享购物心得和生活方式为主要内容的社交平台，拥有超过1亿的用户，尤其是女性用户占比极高。那么如何在小红书上打广告引流呢？以下提供一些实用的方法：防失联【xhs1.net】业务全能，有需求请联系微：jiu991144，jiu994455Q：74146394928110454【tg：jiuke1】1.与网红合作小红书
优化选址问题 | 基于和声搜索算法求解基站选址问题含Matlab源码天天酷科研优化选址问题（LP）matlab 和声搜索算法基站选址问题
目录问题代码问题和声搜索算法（HarmonySearch,HS）是一种模拟音乐创作过程中乐师们凭借自己的记忆，通过反复调整各乐器的音调，直至达到最美和声状态为启发，通过反复调整解向量的各分量来寻求全局最优解的智能优化算法。下面是一个基于和声搜索算法求解基站选址问题的Matlab伪代码框架。请注意，这个框架是一个基本的实现，你可能需要根据你的具体问题和约束条件进行调整和优化。代码%和声搜索算法求解基
基于SSM+Vue企业销售培训系统企业人才培训系统企业课程培训管理系统企业文化培训班系统Java 计算机程序老哥
作者主页：计算机毕业设计老哥有问题可以主页问我一、开发介绍1.1开发环境开发语言：Java数据库：MySQL系统架构：B/S后端：SSM(Spring+SpringMVC+Mybatis)前端：Vue工具：IDEA或者Eclipse，JDK1.8，Maven二、系统介绍2.1图片展示注册登录页面：登陆.png前端页面功能：首页、培训班、在线学习、企业文化、交流论坛、试卷列表、系统公告、留言反馈、个
Github 2024-03-26 开源项目日报 Top10 老孙正经胡说 github 开源 Github趋势分析开源项目 Python Golang
根据GithubTrendings的统计，今日(2024-03-26统计)共有10个项目上榜。根据开发语言中项目的数量，汇总情况如下：开发语言项目数量Python项目3TypeScript项目3JupyterNotebook项目2C++项目1GDScript项目1Lua项目1Solidity项目1OpenInterpreter:本地代码运行和自然语言界面创建周期：254天开发语言：Python协议
我的金钱观冠世墨玉yanzi
昨天微社几个人聚会，说起来钱财的事，我说，我是受过很多困窘的，不过从金钱上的困窘学会的，更是对人的认识，以及金钱对于一个人的意义。有钱有多好，自不必说，我目前想要实现的愿望，比如说说走就走的旅游，比如说想上就上的课程，还有想让自己变得更美也需要投资，但是囊中羞涩时多，放弃的也就多。困窘了就想要改变，也不是没有努力过，节衣缩食也有过，设法开源也试过，总也做不到，还可以借力，可老公也是愚笨，父母又不具
经停西宁站山谷小道士
敬笃夜晚，车窗外的世界漆黑一片，双耳轰鸣青藏高原的高就在眼前，虽然看不见山，却能猜测出山的距离。太阳穴的微痛，让我干呕海拔三千米以上的土地，轻轻地滴下一些雨而这个季节寒冷的温度，写在塬头，玻璃上的水珠缺氧，但不缺少热情。发白的灯光，像语言大师一样陈述着西宁站的欢迎词，低调大器，繁忙的车道让我忽略了这是一座西部之城，操着方言的旅客表达一种情绪，只是红红的腮部，隐约让我想起了青藏高原的高，而南部昆仑山
九月目标达成训练营 yuqiong_819a
1设立九月微目标【9月微目标】写作商业案例笔记45个【微目标分解】公司案例40个/每天2个，上午完成。行业笔记5个。1，9月第一周科技公司主题10个，2,9月第二周消费和服务业主题12个3，9月第三周智能制造4,9月第四周其他行业【目标达成阻碍】过度思考和找资料耽误进度，陪娃容易陷入时间黑洞，【解决方法PlanB】每周工作想清楚重点，细分目标;高质量陪娃也要目标管理～每天一个故事一个游戏【非达成不
树欲静而风不止，子欲养而亲不待杨小兑
今天7点4分在地铁站看到位老父亲为一个工作人员送早饭，由于过了7点钟，这个孩子不能在吃早饭了。就大声呵斥了父亲几句。难道已经成年的孩子还要每天等着父母的喂食，父母已过花甲之年，每天起早为了孩子的一口暖和早饭，只是晚了几分钟就被孩子责备。成年人了一顿饭不吃真的能饿死么？我看到这位父亲走出地铁站后，现在门口失落的靠在墙边上。有时候我们的一个微表情变化都会触动父亲内心的心弦。是生活的压力让我们忘记了从小
2024龙年好看的微信红包封面有哪些？（分享几个好看的红包封面序列号）帮忙赚赏金
在这个数字化时代，微信红包已经成为了大家庆祝节日、表达祝福和交流情感的一种常见方式。而每到一个新年，微信红包的种类和样式也会有所不同，以符合当前的年份特色和主题。2024年是龙年，那么我们就一起来看看2024龙年好看的微信红包封面有哪些吧！红包封面领取微信搜索公众号：【艺间封面】千款红包封面等你领取红包封面领取微信搜索公众号：【艺间封面】千万红包封面等你领取2024微信红包封面免费序列号如何设置微
matlab ICP配准高阶用法——统计每次迭代的配准误差并可视化点云侠 matlab点云工具箱 matlab 开发语言计算机视觉线性代数算法
目录一、概述二、代码实现三、结果展示1、原始点云2、配准结果3、配准误差本文由CSDN点云侠原创，原文链接。如果你不是在点云侠的博客中看到该文章，那么此处便是不要脸的爬虫。一、概述在进行论文写作时，需要做对比实验，来分析改进算法的性能，期间用到了迭代误差分布统计的比较分析，为直观表示配准误差，需要进行可视化
MATLAB/Simulink 基础入门讲解(一) 紗梨酱小萌新初学simulink matlab simulink
MATLAB/Simulink基础总结相信很多朋友总是遇到这种情况，学过的知识总是忘记，尤其是针对课外知识较多的专业技巧课程，老师或者是师兄师姐只是带你入门，然后讲几个例子，你认真地听，最开始觉得也就是如此简单的一个东西罢了，轮到实际操作时，又开始梦游，学过但又没完全学过，每次总是重复在第一个学过的技巧点上。本次就全面的总结一个基础视频，把MATLAB/Simulink中需要使用到的基础知识都化成
路径优化算法 | 基于蚁群的城市路径优化算法应用及其Matlab实现算法如诗路径优化算法（Path Optimization）算法 matlab 路径优化算法
蚁群算法（AntColonyOptimization,ACO）是一种模拟自然界中蚂蚁觅食行为的优化算法，用于解决如旅行商问题（TSP）等组合优化问题。在蚁群算法中，每只蚂蚁在搜索路径时都会释放信息素，并根据信息素浓度和其他启发式信息来选择下一个节点。随着时间的推移，较短的路径上累积的信息素会更多，从而吸引更多的蚂蚁，最终找到最优路径。在城市路径优化问题中，蚁群算法可以用于找到连接多个城市的最短路径
【matlab】基本操作（二）实验报告 Linyeji 数学建模 matlab
实验目的与要求：1熟悉matlab工作环境2掌握建立矩阵的方法和基本的矩阵运算3掌握matlab各种表达式的书写规则以及常用函数的使用4用矩阵求逆法解线性方程组实验内容：P3601，3，4P3624，5（1）一、先求下列表达式的值。提示：利用冒号表达式生成向量。二、设有矩阵A和B求它们的乘积C。求A+A、A*A、A^2。求B+1、B-1、B-C、B.*3、B.^2、B./2。（4）取A矩阵的最后一
Github 2024-03-25 开源项目日报Top10 老孙正经胡说 github 开源 Github趋势分析开源项目 Python Golang
根据GithubTrendings的统计，今日(2024-03-25统计)共有10个项目上榜。根据开发语言中项目的数量，汇总情况如下：开发语言项目数量Python项目4JupyterNotebook项目2TypeScript项目2GDScript项目1Lua项目1Go项目1Dart项目1OpenInterpreter:本地代码运行和自然语言界面创建周期：254天开发语言：Python协议类型：GN
适合学生党做的兼职赚钱方法有哪些？分享3个适合学生做的兼职赚钱方法日常购物技巧呀
疫情又开始了，很多学生只能在家学习，再次体验网络课堂的生活。家庭式的网络课堂，对于学生来说，时间相对宽松。如何利用好有限的时间创造更大的价值？下面，我给大家介绍一些适合大学生兼职的平台。1.社交导购电商社交导购电商是当下最值得年轻人去尝试创业的一种零成本创业模式，也是最早淘宝客的优化版，无货源无售后操作模式，很多小伙伴不知道怎么做，可以用来抖音快速短视频直播带货选品，可以地摊进货赚佣金，也可以做微
APP UI自动化测试思路总结程序员老鹰 ui 测试工具开发语言软件测试经验分享程序人生程序员
首先想要说明一下，APP自动化测试可能很多公司不用，但也是大部分自动化测试工程师、高级测试工程师岗位招聘信息上要求的，所以为了更好的待遇，我们还是需要花时间去掌握的，毕竟谁也不会跟钱过不去。接下来，一起总结一下APPUI自动化测试的思路吧。一，开发语言选择通常用于自动化测试的编程语言有：Python、Java、Javascript、Ruby、C#、PHP等。一般我们会选择自己熟悉的编程语言来编写自
微聊素心如简meng
一点点崩溃瓦解，一点点坍塌，自己已慢慢支离破碎了。为什么都说我更在乎谁，都是我在意的人。如果可以，剥去我的七情六欲吧，那样，也许我会轻松点。
尊微断第九十七章容子音
两月行礼：“参见陛下”朱祁镇欲要往里走，两月挡在他面前说：“陛下，娘娘身体抱恙，恕不能起身接驾”朱祁镇没再勉强，良久走开了。高辰蔚回宫后没再说话，只安安静静地坐在榻上。两月说：“娘娘，晚膳上了”刚要盘盘叠叠地陈摆上，高辰蔚眼睛也未抬一下说：“撤了吧”两月只好听从。高辰蔚从精雅的发髻上卸下一个银钗，随手扔在镜旁，接着是发冠、中簪，一个个拆下。两月走到她身后，高辰蔚没用她，自己拿起木梳梳理。丝丝缠乱，
MATLAB 2023a：强化学习算法的实战演练与性能评估 zmjia111 机器学习 matlab matlab 算法开发语言深度学习机器学习 yolo
在深度学习领域，MATLAB2023版深度学习工具箱以其完整的工具链和高效的运行环境，为研究人员和开发者提供了前所未有的便利。这一工具箱不仅集成了建模、训练和部署的全部功能，更以其简洁易用的语法和强大的算法库，为深度学习任务的快速实现铺平了道路。相较于Python等编程语言，MATLAB的语法更为直观，上手更为迅速。无需繁琐的环境配置和库安装，用户只需打开MATLAB界面，即可轻松开始深度学习之旅
配电站房安全AI识别-智能化安全监控的革命---豌豆云豌豆云人工智能安全大数据
配电站作为现代社会生活和工业活动的能源枢纽，起着至关重要的作用。它们确保电力的稳定供应，支持医疗、交通、通讯等多个关键领域的运作。然而，随着城市化进程加快和电力需求激增，旧有的监控系统已经难以跟上现代化电网的步伐。这些系统常常因为反应迟缓、监测不全面而导致安全事故。而且，传统的监控系统往往是人力密集型的，不仅效率低，还存在人为失误的风险。这使得智能化的技术改造显得尤为迫切。在此背景下，我们察觉到了
MATLAB中的符号计算是什么？如何使用它？爱花的程序算法
一、符号计算概述符号计算，顾名思义，是一种基于符号而非数值的计算方式。在MATLAB中，符号计算是通过符号表达式来实现的，这些表达式由符号变量、符号运算符和括号等组成。符号变量可以是任何字母或单词，它们代表数学上的未知量或变量。符号运算符则包括加减乘除、幂运算、函数等常见的数学运算。符号计算的主要优点是能够进行精确的计算，避免了浮点数计算带来的误差。这对于需要高精度结果的工程和科学计算来说至关重要
虫字旁，童年时光不堪回首 MAYA读书笔记
《虫子旁》作者：朱赢椿关键字：虫、童趣、越读越喜欢《虫子旁》是朱赢椿的观虫日志，观虫的地点是南京师范大学的随园书坊，整本书的版面设计是清新淡雅的，色调是富有生机的绿与雅致的黑结合，书中的图片是有故事感的，微焦镜头呈现虫子们各异的状态，我和虫、虫与虫之间生命的联系，命运不同的境遇。这本书还贴心的附上随园书坊的平面图和观察虫子的场景照片及阅读说明。一年之计在于春，虫子肯定知道，作者随春入园，想知道虫知
莫道君行早，更有早行人墨夜之语
这日又加班了，年前这几天的事，有些魔性。该来的时候，盼都盼不来，待你瞅空想偷闲时，却又是三连发的紧急通知，必须于某时某刻完成。夜色深沉，寒风猎猎，校园里还有那么三俩间办公室的灯还亮着，瞅了一眼，是我们学校总务处的办公室。也是，放假了除了这苦差部门，谁还不赶回家等着过年，搁着喝冷风呀。原先接到通知时，以为就只有我加班，还满心的不忿，怨气早就冲到顶口，只差一个出气缝。灯光在夜里，是那么的鲜艳，微黄的光
原身不属红尘阵——水木诗社水木心艺
兰陵王水仙词文/张海峰岁寒引。腊候徐徐欲尽。红梅后，分付此仙，翠袖扶风送春讯。前生额黄印。相认。轻颜素鬓。依台盏，水殿玉宫，未近纤柔已香晕。低眉细询问。似小意微怜，清怨新趁。原身不属红尘阵。纵冰姿席上，奇芳词里，浮名与我总是困。只慕幽兰隐。堪悯。亦同窘。论世态喧喧，尽是拘谨。茎鳞深叠藏灵敏。指今日晤后，三年为信。不诉别来，我一曲，尔随韵。张海峰：理工男，祖籍安徽，现居美国加州旧金山，硅谷IT谋生，
龙门石窟（下）铁马书生
图片发自App……-一条清河顺着地势蜿蜒而下，两侧皆是陡峭的石壁，垂直而上。佛像变雕刻其中。小者仅枣核大小，大者则可高达十七米有余。虽眼角轻抬，细眉微挑。却又显得慈眉善目，不怒自威。-残垣断壁间，早已不复当年刚刚镌刻罢的辉煌灿烂。日日夜夜，年年复年年，多少的风吹雨打，热烤冷侵，多少的战乱纷争，人事变迁。一切一切的变数，早已磨去了他刚凿刻好时的样貌。即便如此，他依然令人望而生畏，远观而不可亵玩。-这
慢慢来，比较快。 Mrsophie_9f84
我们现在正处于一个日新月异，飞速发展的时代，似乎如逆水行舟一样稍不努力，一不留神就要被人甩在身后，于是无论做什么事情大家都想着要迅速见到成效，速度成了我们做任何事情时首要追求的一点，然而正如这篇《微习惯》所说的一样，其实有很多事情，往往要慢一点，才会比较快。看起来似乎明显前后矛盾，都“慢”了，又怎么可能“快”呢？有话说人是由欲望组成的，而且总是容易很贪心，比如我想提升自己，从哪些方面呢？首先外在形
NUMA与英特尔下一代Xeon处理器学习心得（2） weixin_34337381 系统架构
上回说到NUMA的一个简介，现在再扯扯NUMA与英特尔下一代Xeon处理器的关系，咱们切入正题做为英特尔下一代的45nmXeon处理器，它会成为未来英特尔从台式机、笔记本到服务器全线产品的主流处理器。比较前一代酷睿处理器平台，它的平台在对以前的系统架构和内存层次体系进行了重大改变的同时，对微架构也进行了全方位的细化，主要改进表现在以下的特性：>新的核心架构，最大可扩展到每个接口4个核心>同步多
Java常用排序算法/程序员必须掌握的8大排序算法 cugfy java
分类： 1）插入排序（直接插入排序、希尔排序） 2）交换排序（冒泡排序、快速排序） 3）选择排序（直接选择排序、堆排序） 4）归并排序 5）分配排序（基数排序）所需辅助空间最多：归并排序所需辅助空间最少：堆排序平均速度最快：快速排序不稳定：快速排序，希尔排序，堆排序。先来看看8种排序之间的关系： 1.直接插入排序（1
【Spark102】Spark存储模块BlockManager剖析 bit1129 manager
Spark围绕着BlockManager构建了存储模块，包括RDD，Shuffle，Broadcast的存储都使用了BlockManager。而BlockManager在实现上是一个针对每个应用的Master/Executor结构，即Driver上BlockManager充当了Master角色，而各个Slave上(具体到应用范围，就是Executor)的BlockManager充当了Slave角色
linux 查看端口被占用情况详解 daizj linux 端口占用 netstat lsof
经常在启动一个程序会碰到端口被占用，这里讲一下怎么查看端口是否被占用，及哪个程序占用，怎么Kill掉已占用端口的程序 1、lsof -i:port port为端口号 [root@slave /data/spark-1.4.0-bin-cdh4]# lsof -i:8080 COMMAND PID USER FD TY
Hosts文件使用周凡杨 hosts locahost
一切都要从localhost说起，经常在tomcat容器起动后，访问页面时输入http://localhost:8088/index.jsp，大家都知道localhost代表本机地址，如果本机IP是10.10.134.21，那就相当于http://10.10.134.21:8088/index.jsp，有时候也会看到http: 127.0.0.1:
java excel工具 g21121 Java excel
直接上代码，一看就懂，利用的是jxl： import java.io.File; import java.io.IOException; import jxl.Cell; import jxl.Sheet; import jxl.Workbook; import jxl.read.biff.BiffException; import jxl.write.Label; import
web报表工具finereport常用函数的用法总结（数组函数）老A不折腾 finereport web报表函数总结
ADD2ARRAY ADDARRAY(array,insertArray, start):在数组第start个位置插入insertArray中的所有元素，再返回该数组。示例： ADDARRAY([3,4, 1, 5, 7], [23, 43, 22], 3)返回[3, 4, 23, 43, 22, 1, 5, 7]. ADDARRAY([3,4, 1, 5, 7], "测试&q
游戏服务器网络带宽负载计算墙头上一根草服务器
家庭所安装的4M，8M宽带。其中M是指，Mbits/S 其中要提前说明的是： 8bits = 1Byte 即8位等于1字节。我们硬盘大小50G。意思是50*1024M字节，约为 50000多字节。但是网宽是以“位”为单位的，所以，8Mbits就是1M字节。是容积体积的单位。 8Mbits/s后面的S是秒。8Mbits/s意思是每秒8M位，即每秒1M字节。我是在计算我们网络流量时想到的
我的spring学习笔记2-IoC（反向控制依赖注入） aijuans Spring 3 系列
IoC（反向控制依赖注入）这是Spring提出来了，这也是Spring一大特色。这里我不用多说，我们看Spring教程就可以了解。当然我们不用Spring也可以用IoC，下面我将介绍不用Spring的IoC。 IoC不是框架，她是java的技术，如今大多数轻量级的容器都会用到IoC技术。这里我就用一个例子来说明：如：程序中有 Mysql.calss 、Oracle.class 、SqlSe
高性能mysql 之选择存储引擎(一) annan211 mysql InnoDB MySQL引擎存储引擎
1 没有特殊情况，应尽可能使用InnoDB存储引擎。原因：InnoDB 和 MYIsAM 是mysql 最常用、使用最普遍的存储引擎。其中InnoDB是最重要、最广泛的存储引擎。她被设计用来处理大量的短期事务。短期事务大部分情况下是正常提交的，很少有回滚的情况。InnoDB的性能和自动崩溃恢复特性使得她在非事务型存储的需求中也非常流行，除非有非常
UDP网络编程百合不是茶 UDP编程局域网组播
UDP是基于无连接的,不可靠的传输与TCP/IP相反 UDP实现私聊,发送方式客户端,接受方式服务器 package netUDP_sc; import java.net.DatagramPacket; import java.net.DatagramSocket; import java.net.Ine
JQuery对象的val()方法执行结果分析 bijian1013 JavaScript js jquery
JavaScript中，如果id对应的标签不存在（同理JAVA中，如果对象不存在），则调用它的方法会报错或抛异常。在实际开发中，发现JQuery在id对应的标签不存在时，调其val()方法不会报错，结果是undefined。
http请求测试实例（采用json-lib解析） bijian1013 json http
由于fastjson只支持JDK1.5版本，因些对于JDK1.4的项目，可以采用json-lib来解析JSON数据。如下是http请求的另外一种写法，仅供参考。 package com; import java.util.HashMap; import java.util.Map; import
【RPC框架Hessian四】Hessian与Spring集成 bit1129 hessian
在【RPC框架Hessian二】Hessian 对象序列化和反序列化一文中介绍了基于Hessian的RPC服务的实现步骤，在那里使用Hessian提供的API完成基于Hessian的RPC服务开发和客户端调用，本文使用Spring对Hessian的集成来实现Hessian的RPC调用。定义模型、接口和服务器端代码 |---Model &nb
【Mahout三】基于Mahout CBayes算法的20newsgroup流程分析 bit1129 Mahout
1.Mahout环境搭建 1.下载Mahout http://mirror.bit.edu.cn/apache/mahout/0.10.0/mahout-distribution-0.10.0.tar.gz 2.解压Mahout 3. 配置环境变量 vim /etc/profile export HADOOP_HOME=/home
nginx负载tomcat遇非80时的转发问题 ronin47
　　nginx负载后端容器是tomcat（其它容器如WAS,JBOSS暂没发现这个问题）非８０端口，遇到跳转异常问题。解决的思路是：$host:port 详细如下：　　该问题是最先发现的，由于之前对nginx不是特别的熟悉所以该问题是个入门级别的： ? 1 2 3 4 5
java-17-在一个字符串中找到第一个只出现一次的字符 bylijinnan java
public class FirstShowOnlyOnceElement { /**Q17.在一个字符串中找到第一个只出现一次的字符。如输入abaccdeff，则输出b * 1.int[] count:count[i]表示i对应字符出现的次数 * 2.将26个英文字母映射：a-z <--> 0-25 * 3.假设全部字母都是小写 */ pu
mongoDB 复制集开窍的石头 mongodb
mongo的复制集就像mysql的主从数据库，当你往其中的主复制集(primary)写数据的时候，副复制集(secondary)会自动同步主复制集(Primary)的数据,当主复制集挂掉以后其中的一个副复制集会自动成为主复制集。提供服务器的可用性。和防止当机问题 mo
[宇宙与天文]宇宙时代的经济学 comsci 经济
宇宙尺度的交通工具一般都体型巨大，造价高昂。。。。。在宇宙中进行航行，近程采用反作用力类型的发动机，需要消耗少量矿石燃料，中远程航行要采用量子或者聚变反应堆发动机，进行超空间跳跃，要消耗大量高纯度水晶体能源以目前地球上国家的经济发展水平来讲，
Git忽略文件 Cwind git
有很多文件不必使用git管理。例如Eclipse或其他IDE生成的项目文件，编译生成的各种目标或临时文件等。使用git status时，会在Untracked files里面看到这些文件列表，在一次需要添加的文件比较多时（使用git add . / git add -u），会把这些所有的未跟踪文件添加进索引。 ==== ==== ==== 一些牢骚
MySQL连接数据库的必须配置 dashuaifu mysql 连接数据库配置
MySQL连接数据库的必须配置 1.driverClass：com.mysql.jdbc.Driver 2.jdbcUrl：jdbc:mysql://localhost:3306/dbname 3.user：username 4.password：password 其中1是驱动名；2是url，这里的‘dbna
一生要养成的60个习惯 dcj3sjt126com 习惯
一生要养成的60个习惯第1篇让你更受大家欢迎的习惯 1 守时，不准时赴约,让别人等,会失去很多机会。如何做到： ①该起床时就起床， ②养成任何事情都提前15分钟的习惯。 ③带本可以随时阅读的书，如果早了就拿出来读读。 ④有条理，生活没条理最容易耽误时间。 ⑤提前计划：将重要和不重要的事情岔开。 ⑥今天就准备好明天要穿的衣服。 ⑦按时睡觉，这会让按时起床更容易。 2 注重
[介绍]Yii 是什么 dcj3sjt126com PHP yii2
Yii 是一个高性能，基于组件的 PHP 框架，用于快速开发现代 Web 应用程序。名字 Yii （读作易）在中文里有“极致简单与不断演变”两重含义，也可看作 Yes It Is! 的缩写。 Yii 最适合做什么？ Yii 是一个通用的 Web 编程框架，即可以用于开发各种用 PHP 构建的 Web 应用。因为基于组件的框架结构和设计精巧的缓存支持，它特别适合开发大型应
Linux SSH常用总结 eksliang linux ssh SSHD
转载请出自出处：http://eksliang.iteye.com/blog/2186931 一、连接到远程主机格式： ssh name@remoteserver 例如： ssh [email protected] 二、连接到远程主机指定的端口格式： ssh name@remoteserver -p 22 例如： ssh i
快速上传头像到服务端工具类FaceUtil gundumw100 android
快速迭代用 import java.io.DataOutputStream; import java.io.File; import java.io.FileInputStream; import java.io.FileNotFoundException; import java.io.FileOutputStream; import java.io.IOExceptio
jQuery入门之怎么使用 ini JavaScript html jquery Web css
jQuery的强大我何问起（个人主页：hovertree.com）就不用多说了，那么怎么使用jQuery呢？首先，下载jquery。下载地址：http://hovertree.com/hvtart/bjae/b8627323101a4994.htm，一个是压缩版本，一个是未压缩版本，如果在开发测试阶段，可以使用未压缩版本，实际应用一般使用压缩版本(min)。然后就在页面上引用。
带filter的hbase查询优化 kane_xie 查询优化 hbase RandomRowFilter
问题描述 hbase scan数据缓慢，server端出现LeaseException。hbase写入缓慢。问题原因直接原因是： hbase client端每次和regionserver交互的时候，都会在服务器端生成一个Lease,Lease的有效期由参数hbase.regionserver.lease.period确定。如果hbase scan需
java设计模式-单例模式 men4661273 java 单例枚举反射 IOC
单例模式1，饿汉模式 //饿汉式单例类.在类初始化时，已经自行实例化 public class Singleton1 { //私有的默认构造函数 private Singleton1() {} //已经自行实例化 private static final Singleton1 singl
mongodb 查询某一天所有信息的3种方法，根据日期查询 qiaolevip 每天进步一点点学习永无止境 mongodb 纵观千象
// mongodb的查询真让人难以琢磨，就查询单天信息，都需要花费一番功夫才行。 // 第一种方式： coll.aggregate([ {$project:{sendDate: {$substr: ['$sendTime', 0, 10]}, sendTime: 1, content:1}}, {$match:{sendDate: '2015-
二维数组转换成JSON tangqi609567707 java 二维数组 json
原文出处：http://blog.csdn.net/springsen/article/details/7833596 public class Demo { public static void main(String[] args) { String[][] blogL
erlang supervisor wudixiaotie erlang
定义supervisor时，如果是监控celuesimple_one_for_one则删除children的时候就用supervisor:terminate_child (SupModuleName, ChildPid)，如果shutdown策略选择的是brutal_kill，那么supervisor会调用exit(ChildPid, kill)，这样的话如果Child的behavior是gen_