程高兴

14基于双层优化的电动汽车优化调度研究

说明书

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，下单后会直接发您资料，保证您学得会，用的起来，简直是萌新福利！

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;
for t=1:24
if t<=17
%Nd_resid(t)=0.7*0.05*Ndsum(t);Nd_comme(t)=(0.2+0.7*0.15)*Ndsum(t);Nd_indus(t)=(0.1+0.7*0.8)*Ndsum(t);
Nd_resid(t)=0.7*6/112*Ndsum(t);Nd_comme(t)=(0.2+0.7*16/112)*Ndsum(t);Nd_indus(t)=(0.1+0.7*90/112)*Ndsum(t);%何立夫数据;
else
Nd_resid(t)=0.7*Ndsum(t);Nd_comme(t)=0.2*Ndsum(t);Nd_indus(t)=0.1*Ndsum(t);
end
if t>=8&t<=19
%Nc_resid(t)=0.7*11/210*Ncsum(t);Nc_comme(t)=(0.2+0.7*31/210)*Ncsum(t);Nc_indus(t)=(0.1+0.7*0.8)*Ncsum(t);
Nc_resid(t)=0.7/21*Ncsum(t);Nc_comme(t)=(0.2+0.7*6/42)*Ncsum(t);Nc_indus(t)=(0.1+0.7*34/42)*Ncsum(t);%何立夫数据;
else
Nc_resid(t)=0.7*Ncsum(t);Nc_comme(t)=0.2*Ncsum(t);Nc_indus(t)=0.1*Ncsum(t);
end
end
G=[21.4943686300000,-2.58137264300000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-5.11502111900000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-13.7979748700000;-2.58137264300000,8.48018383100000,-3.47721018300000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-2.42160100500000,0,0,0,0,0,0,0,0,0,0,0;0,-3.47721018300000,6.81657689900000,-3.33936671600000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,-3.33936671600000,4.46071128400000,-1.12134456700000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,-1.12134456700000,8.10810813700000,-0.717862656200000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-6.26890091400000,0,0,0,0,0,0,0,0;0,0,0,0,-0.717862656200000,2.74899529300000,-2.03113263700000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,-2.03113263700000,3.05745447700000,-1.02632184000000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,-1.02632184000000,2.04814808600000,-1.02182624600000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,-1.02182624600000,8.37087266200000,-7.34904641600000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,-7.34904641600000,11.2079846800000,-3.85893826600000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,-3.85893826600000,4.53328987500000,-0.674351609300000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,-0.674351609300000,1.75730975500000,-1.08295814500000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,-1.08295814500000,2.59620713200000,-1.51324898700000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,-1.51324898700000,2.91389611100000,-1.40064712400000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,-1.40064712400000,1.84749781100000,-0.446850686600000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,-0.446850686600000,1.72121744600000,-1.27436675900000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1.27436675900000,1.27436675900000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;-5.11502111900000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.70307629700000,-0.588055178500000,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-0.588055178500000,2.24312342000000,-1.65506824100000,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1.65506824100000,2.47775884800000,-0.822690607300000,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-0.822690607300000,0.822690607300000,0,0,0,0,0,0,0,0,0,0,0,0;0,-2.42160100500000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.52093297500000,-1.09933197000000,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1.09933197000000,2.20881655800000,-1.10948458800000,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1.10948458800000,1.10948458800000,0,0,0,0,0,0,0,0,0;0,0,0,0,-6.26890091400000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.7474519100000,-4.47855099300000,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-4.47855099300000,5.33007281800000,-0.851521824600000,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-0.851521824600000,1.98457500900000,-1.13305318400000,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1.13305318400000,3.64061355000000,-2.50756036500000,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-2.50756036500000,3.33967096700000,-0.832110601100000,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-0.832110601100000,3.02074490100000,-2.18863430000000,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-2.18863430000000,3.54215431500000,-1.35352001500000,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1.35352001500000,1.35352001500000,0;-13.7979748700000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.7979748700000];%节点导纳矩阵实部;
B=[-13.2295494500000,1.31477215100000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.88110247000000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.03367482600000;1.31477215100000,-4.74033254100000,1.77090704400000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.65465334600000,0,0,0,0,0,0,0,0,0,0,0;0,1.77090704400000,-3.47169707200000,1.70079002800000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,1.70079002800000,-2.66878833000000,0.967998301700000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0.967998301700000,-6.53405809200000,2.37293489100000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.19312489900000,0,0,0,0,0,0,0,0;0,0,0,0,2.37293489100000,-3.04417369200000,0.671238800900000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0.671238800900000,-1.40859623900000,0.737357438600000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0.737357438600000,-1.46164041000000,0.724282971500000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0.724282971500000,-3.15402873500000,2.42974576300000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,2.42974576300000,-3.70575152500000,1.27600576200000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,1.27600576200000,-1.80657531800000,0.530569556300000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0.530569556300000,-1.95605120700000,1.42548165000000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,1.42548165000000,-2.77229885300000,1.34681720300000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,1.34681720300000,-2.36966683800000,1.02284963500000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,1.02284963500000,-1.61945943500000,0.596609799500000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.596609799500000,-2.56297141200000,1.96636161200000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.96636161200000,-1.96636161200000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;4.88110247000000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-5.41098545700000,0.529882986900000,0,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.529882986900000,-2.46342302700000,1.93354004000000,0,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.93354004000000,-3.02129276500000,1.08775272400000,0,0,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.08775272400000,-1.08775272400000,0,0,0,0,0,0,0,0,0,0,0,0;0,1.65465334600000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-2.52273385800000,0.868080512000000,0,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.868080512000000,-1.73622743700000,0.868146924900000,0,0,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.868146924900000,-0.868146924900000,0,0,0,0,0,0,0,0,0;0,0,0,0,3.19312489900000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-5.47337236100000,2.28024746200000,0,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.28024746200000,-3.03101793200000,0.750770469900000,0,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.750770469900000,-1.73785957800000,0.987089108300000,0,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.987089108300000,-2.26433906800000,1.27724996000000,0,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.27724996000000,-2.09962527700000,0.822375317000000,0,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.822375317000000,-3.37331494100000,2.55093962400000,0,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.55093962400000,-4.67926053900000,2.12832091500000,0;0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.12832091500000,-2.12832091500000,0;7.03367482600000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-7.03367482600000];%节点导纳矩阵虚部;
Vmin=[0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93;0.93];%节点电压最小值;
Vmax=[1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07;1.07];%节点电压最大值;
Plinemax=0.11;%线路功率传输上限;
%%%%%%%%%分时段%%%%%%%%%%
Ploss=zeros(24,1);Nd_data=zeros(33,24);Nc_data=zeros(33,24);Volta=zeros(33,24);Theta=zeros(33,24);
parfor t=1:24
%%%%%%%%%MISOCP模型求解%%%%%%%%%%
u=sdpvar(32,1);%u=Volta^2;
R=sdpvar(32,1);%R=Volta(i)*Volta(j)*cos(Theta(i)-Theta(j));
T=sdpvar(32,1);%T=Volta(i)*Volta(j)*sin(Theta(i)-Theta(j));
Nd=intvar(32,1);
Nc=intvar(32,1);
%Nd=zeros(32,1);%算例七,配电网中没有电动汽车;
%Nc=zeros(32,1);%算例七,配电网中没有电动汽车;
%%%%%%%%%%%目标函数%%%%%%%%%;
f=0;
for i=1:16
f=f-G(i,i+1)*(u(i)+u(i+1)-2*R(i));
end
f=f-G(5,25)*(u(5)+u(25)-2*R(17));
for i=18:24
f=f-G(i+7,i+8)*(u(i+7)+u(i+8)-2*R(i));
end
f=f-G(1,18)*(u(1)+u(18)-2*R(25));
for i=26:28
f=f-G(i-8,i-7)*(u(i-8)+u(i-7)-2*R(i));
end
f=f-G(2,22)*(u(2)+u(22)-2*R(29));
for i=30:31
f=f-G(i-8,i-7)*(u(i-8)+u(i-7)-2*R(i));
end
f=f-G(33,1)*(1.05*1.05+u(1)-2*R(32));
%%%%%约束条件%%%%%%%%
C=[R>=0,u>=Vmin.^2,u<=Vmax.^2,Nd>=0,Nc>=0,Nc<=50,Nd<=50];

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