Matlab+YALMIP+CPLEX解决带储能的微电网优化调度问题(完整代码分享)

2Matlab+YALMIP+CPLEX解决带储能的微电网优化调度问题

请先确保YALMIP工具箱和CPLEX正确安装,MATLAB导入对应文件,否则无法运行程序!!

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程序:

%% 请先确保YALMIP工具箱和CPLEX正确安装,MATLAB导入对应文件,否则无法运行程序!!
%CPLEX免费试用版对求解规模有限制,如出现规模过大无法求解,请购买正式版或申请教育版!!!
%本程序已在yalmip version:20171121 CPLEX version::12.8教育版 验证成功


%% 初始化
clc;
clear;
yalmip;
Cplex;
%% 各变量及常量定义
%------------------------变量定义-----------------------%
Pw=sdpvar(1,24,'full'); %风机出力
Ppv=sdpvar(1,24,'full');%光伏出力
Pbat=sdpvar(1,24,'full');%蓄电池出力
% Pde=Power(4,:);%柴油机组出力
% Lshift=zeros(1,24);
Pnet=sdpvar(1,24,'full');%交换功率
Pbuy=sdpvar(1,24,'full');%从电网购电电量
Psell=sdpvar(1,24,'full');%向电网售电电量
Temp_net=binvar(1,24,'full'); % 购|售电标志
Temp_cha=binvar(1,24,'full'); %充电标志
Temp_dis=binvar(1,24,'full'); %放电标志
Temp_static=binvar(1,24,'full'); %电池静置标志
Pcha=sdpvar(1,24);
Pdis=sdpvar(1,24);
Constraints = [];
%-------------------------常量定义-----------------------%
Load=[88.24 	83.01 	80.15 	79.01 	76.07 	78.39 	89.95 	128.85 	155.45 	176.35 	193.71 	182.57 	179.64 	166.31 	164.61 	164.61 	174.48 	203.93 	218.99 	238.11 	216.14 	173.87 	131.07 	94.04];
%风机预测出力
Pw=[66.9	68.2	71.9	72	78.8	94.8	114.3	145.1	155.5	142.1	115.9	127.1	141.8	145.6...
    145.3	150	206.9	225.5	236.1	210.8	198.6	177.9	147.2	58.7];
%光伏预测出力
Ppv=[0	0	0	0	0.06	6.54	20.19	39.61	49.64	88.62	101.59	66.78	110.46	67.41	31.53...
    50.76	20.6	22.08	2.07	0	0	0	0	0];
%分时电价
C_buy=[0.25	0.25	0.25	0.25	0.25	0.25	0.25	0.53	0.53	0.53	0.82	0.82...
    0.82	0.82	0.82	0.53	0.53	0.53	0.82	0.82	0.82	0.53	0.53	0.53];
C_sell=[0.22	0.22	0.22	0.22	0.22	0.22	0.22	0.42	0.42	0.42	0.65	0.65...
    0.65	0.65	0.65	0.42	0.42	0.42	0.65	0.65	0.65	0.42	0.42	0.42];


%% 约束
for k = 1:24
  Constraints = [Constraints, -160<=Pnet(1,k)<=160,0<=Pbuy(1,k)<=160, -160<=Psell(1,k)<=0]; %主网功率交换约束
  Constraints =[Constraints,Pnet(1,k)+Pw(1,k)+Ppv(1,k)==Load(1,k)+Pbat(1,k)]; %功率平衡约束
  Constraints = [Constraints, implies(Temp_net(1,k),[Pnet(1,k)>=0,Pbuy(1,k)==Pnet(1,k),Psell(1,k)==0])]; %购电情况约束
  Constraints = [Constraints, implies(1-Temp_net(1,k),[Pnet(1,k)<=0,Psell(1,k)==Pnet(1,k),Pbuy(1,k)==0])]; %售电情况约束
%----------------------蓄电池约束--------------------%
% sum_bat=zeros(1,24);
  Constraints = [Constraints, -40<=Pbat(1,k)<=40,0<=Pcha(1,k)<=40,-40<=Pdis(1,k)<=0];%电池充放电约束
  Constraints = [Constraints, implies(Temp_cha(1,k),[Pbat(1,k)>=0,Pcha(1,k)==Pbat(1,k),Pdis(1,k)==0])];%充电情况约束
  Constraints = [Constraints, implies(Temp_dis(1,k),[Pbat(1,k)<=0,Pdis(1,k)==Pbat(1,k),Pcha(1,k)==0])];%放电情况约束
  Constraints = [Constraints, implies(Temp_static(1,k),[Pbat(1,k)==0,Pdis(1,k)==0,Pcha(1,k)==0])];%静置情况约束
  Constraints = [Constraints,Temp_cha(1,k)+Temp_dis(1,k)+Temp_static(1,k)==1];
%    sum_bat(1,k+1)=sum_bat(1,k)+Pcha(1,k)+Pdis(1,k);%计算SOC
  Constraints=[Constraints,-30<=sum(Pdis(1,1:k)+Pcha(1,1:k))<=165] ;%SOC约束,电池容量300kwh,初始S0C为0.4,0.3<=SOC<=0.95
end
  Constraints=[Constraints,sum(Pdis+Pcha)==0] ;%ST=S0,始末SOC相等约束
%% 目标函数
 F=0;
%------------------总费用--------------------%
for k = 1:24
  F = F + 0.52*Pw(:,k)+0.72*Ppv(:,k)+C_buy(:,k)*Pbuy(:,k)+C_sell(:,k)*Psell(1,k)+0.2*Pdis(1,k);
end
ops=sdpsettings('solver', 'cplex');%参数指定程序用cplex求解器
optimize(Constraints,F,ops)
value(F)%费用
%% 画图
x=1:24;
PP=[Pbuy;-Pdis;Pw;Ppv];
PP_neg=[Psell;-Pcha];
figure
bar(PP','stack');
h=legend('交换功率','蓄电池','风机出力','光伏出力','Location','NorthWest');
set(h,'Orientation','horizon')
hold on
bar(PP_neg','stack');
plot(x,value(Load),'r','linewidth',2);
xlabel('时段');ylabel('功率/kW');
hold off
for k=1:24
s(k)=value(sum(Pdis(1,1:k)+Pcha(1,1:k)))/300+0.4;
soc(k+1)=s(k);
end
soc(1)=0.4;
xx=0:24;
figure
plot(xx,soc,'r');
xlabel('时段');ylabel('SOC值');
title('蓄电池SOC状态');

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