Matlab|含sop的33节点配电网优化

news/2024/11/17 23:36:30/

1 主要内容

2 部分代码

3 程序结果

4 下载链接

1 主要内容

程序以IEEE33节点为例，分析含sop的配电网优化，包括sop有功约束、无功约束和容量约束，非线性部分通过转换为旋转锥约束进行编程，并且包括33节点配电网潮流及对应电压、电流约束、OLTC约束等，程序是对《Coordinated Control Method of Voltage and Reactive Power for Active Distribution Networks Based on Soft Open Point》方法实现，里面还有更深一些的知识，包括OLTC和CB等部分内容，具体sop部分和文献《考虑分布式电源运行特性的有源配电网智能软开关sop规划方法》一致。

2 部分代码

%% 定义约束条件
Constraints=[];
%% SOP有功功率限制 (1) 
Constraints=[Constraints,x_p_sop1(1,:)+x_p_sop1(2,:)+x_p_sop1_loss(1,:)+...x_p_sop1_loss(2,:)==0];
Constraints=[Constraints,x_p_sop2(1,:)+x_p_sop2(2,:)+...x_p_sop2_loss(1,:)+x_p_sop2_loss(2,:)==0];
%% CBs操作限制(27、29) 33
Constraints=[Constraints,Q_CB==N_CB*q_CB];
Constraints=[Constraints,N_CB<=5];
Constraints=[Constraints,N_CB>=0];

%% 有功功率损耗（33）
f_loss1=sum(r_ij'*x_Iij_square)*delta_T;
Constraints=[Constraints,x_ui_square(1,:)==12.66^2];  %平衡节点每小时电压平方
f_loss2=sum(x_p_sop1_loss)*delta_T;
f_loss3=sum(x_p_sop2_loss)*delta_T;Constraints=[Constraints,x_Iij_square>=0];    
%% sop运行约束%（40,41）Constraints=[Constraints,0.02*sqrt(x_p_sop1(1,:).^2+x_q_sop1(1,:).^2)<=...x_p_sop1_loss(1,:)];%Constraints=[Constraints,(x_p_sop1(2,opt_num)^2+x_q_sop1(2,opt_num)^2)<=...%   2*(x_p_sop1_loss(2,opt_num)/(sqrt(2)*0.02))*(x_p_sop1_loss(2,opt_num)/(sqrt(2)* 0.02))];Constraints=[Constraints,0.02*sqrt(x_p_sop1(2,:).^2+x_q_sop1(2,:).^2)<=...x_p_sop1_loss(2,:)];
%     Constraints=[Constraints,x_p_sop1(1,opt_num)+x_p_sop1(2,opt_num)==0];
Constraints=[Constraints,0.02*sqrt(x_p_sop2(1,:).^2+x_q_sop2(1,:).^2)<=...x_p_sop2_loss(1,:)];Constraints=[Constraints,0.02*sqrt(x_p_sop2(2,:).^2+x_q_sop2(2,:).^2)<=...x_p_sop2_loss(2,:)];
%     Constraints=[Constraints,x_p_sop2(1,opt_num)+x_p_sop2(2,opt_num)==0];