考虑大规模电动汽车接入电网的双层优化调度策略

说明书

相关资源链接：智能微电网PSO优化算法

考虑网损的经济调度程序，采用的是经典算例

在matlab中通过yalmip平台调用cplex求解器，可用于求解MILP问题，适合于综合能源系统优化求解

MATLAB代码：基于双层优化的电动汽车优化调度研究

关键词：双层优化  选址定容 输配协同 时空优化    

参考文档：《考虑大规模电动汽车接入电网的双层优化调度策略_胡文平》中文版

《A bi-layer optimization based temporal and spatial scheduling for large-scale electric vehicles》完全复现

仿真平台：MATLAB+CPLEX 平台

优势：代码具有一定的深度和创新性，注释清晰，非烂大街的代码，非常精品！

主要内容：代码主要做的是一个双层的电动汽车充放电行为优化问题，具体来讲，输电网上层优化将电动汽车与发电机、基本负荷协调，同时考虑风力发电，从而在时域内优化电动汽车的负荷周期。然后，配电网的下层优化在空间上调度电动汽车负荷的位置。同时代码考虑了风电的出力场景，研究了不同风电出力下电动汽车的适应性，该代码具有一定的创新性，适合新手学习以及在此基础上进行拓展，代码质量非常高，保姆级的注释以及人性化的模块子程序，所有数据均有可靠来源

实现效果：具体如下

    

%%%%%%配电网潮流优化%%%%%%%%
%%%%%%标幺值SB=100MVA,UB=12.66kV,二阶锥松弛%%%%%%
%%%%%%MISOCP模型,分时段优化,并行计算%%%%%%%%%%%%
clear
clc
tic;
%%%%%IEEE33配电网数据%%%%%%%%%%%;
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Line=[1,1,2;2,2,3;3,3,4;4,4,5;5,5,6;6,6,7;7,7,8;8,8,9;9,9,10;10,10,11;11,11,12;12,12,13;13,13,14;14,14,15;15,15,16;16,16,17;17,5,25;18,25,26;19,26,27;20,27,28;21,28,29;22,29,30;23,30,31;24,31,32;25,1,18;26,18,19;27,19,20;28,20,21;29,2,22;30,22,23;31,23,24;32,33,1];%支路数据;
Pd=0.000018;%放电功率;
Pc=0.000018;%充电功率;
%Ndsum=[0;0;0;0;0;0;0;0;200;400;400;400;400;400;0;0;0;0;0;400;400;0;0;0];%上层调度放电电动汽车数量;
%Ncsum=[950;950;950;950;0;0;0;0;0;0;0;0;0;0;0;0;300;0;0;0;0;0;950;950];%上层调度充电电动汽车数量;
Ndsum=[0;0;0;0;0;0;0;0;160;160;160;160;160;160;0;0;0;0;0;160;80;0;0;0];%上层调度放电电动汽车数量(何立夫数据）;
Ncsum=[380;380;380;360;110;0;0;0;0;0;0;0;0;0;0;0;60;0;0;0;0;0;350;380];%上层调度充电电动汽车数量(何立夫数据）;
Nd_resid=zeros(24,1);Nc_resid=zeros(24,1);Nd_comme=zeros(24,1);Nc_comme=zeros(24,1);Nd_indus=zeros(24,1);Nc_indus=zeros(24,1);%区域电动汽车数量;