Matlab|基于氢储能的热电联供型微电网优化调度方法
目录
1 主要内容
模型求解流程
2 部分程序
3 程序结果
日前调度
日内调度
4 下载链接
1 主要内容
该程序复现《基于氢储能的热电联供型微电网优化调度方法》，针对质子交换膜燃料电池和电解槽的热电联供特性，为避免氢能系统的热能浪费并进一步提高氢能系统的效率，搭建了一种考虑氢能系统的热电联供型光伏/风机/燃料电池/蓄电池/电锅炉/燃气锅炉微电网系统，提出一种包括日前调度与实时优化的两阶段优化调度方法。所建系统考虑了电氢转换时的余热回收，将氢能系统作为热电氢耦合设备，实现了电、热、氢能的协调利用与相互转换，有效提高了能量利用率。在第一阶段调度中，根据日前的风光发电出力及负荷需求预测，以微电网整体运行成本最小为目标，采用混合整数线性规划方法实现日前最优全局调度；在第二阶段调度中，根据超短期预测结果，使用模型预测控制嵌入混合整数二次规划算法，减小预测误差带来的经济性影响。程序采用matlab+yalmip（cplex作为求解器）进行求解，注释清晰，运行稳定，方便学习！
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模型求解流程
2 部分程序
%% 各变量及常量定义Pwind=sdpvar(1,4,'full'); %风机出力Ppv=sdpvar(1,4,'full');%光伏出力Pbat=sdpvar(1,4,'full');%蓄电池出力Temp_cha=binvar(1,4,'full'); %充电标志Temp_dis=binvar(1,4,'full'); %放电标志Temp_static=binvar(1,4,'full'); %电池静置标志Pcha=sdpvar(1,4,'full');Pdis=sdpvar(1,4,'full');Phss=sdpvar(1,4,'full');%氢储能系统净功率Pfc=sdpvar(1,4,'full');Pel=sdpvar(1,4,'full');Psto=sdpvar(1,4,'full');Temp_fc=binvar(1,4,'full');%燃料电池工作标志Temp_el=binvar(1,4,'full');%电解槽工作标志Temp_Hstatic=binvar(1,4,'full'); %氢储能系统静置标志Peb=sdpvar(1,4,'full');%电锅炉电功率Qeb=Peb*0.9;%电锅炉热功率Pbl=sdpvar(1,4,'full');%燃气锅炉电功率Qbl=Pbl*0.73;%燃气锅炉热功率Qtst=sdpvar(1,4,'full');%蓄热槽热功率Qcha=sdpvar(1,4,'full');Qdis=sdpvar(1,4,'full');Temp_Qcha=binvar(1,4,'full'); %蓄热标志Temp_Qdis=binvar(1,4,'full'); %放热标志Temp_Qstatic=binvar(1,4,'full'); %蓄热槽静置标志Hel=sdpvar(1,4,'full');Hfc=sdpvar(1,4,'full');S=sdpvar(1,4,'full');E=sdpvar(1,4,'full');H=sdpvar(1,4,'full');Constraints = []; for k=1:4Constraints =[Constraints,Pwindr(1,k)+Ppvr(1,k)-Pfc(1,k)==Ploadr(1,k)+Pel(1,k)+Pbat(1,k)+Peb(1,k)];%----------------------HSS约束--------------------%Constraints = [Constraints, -100<=Phss(1,k)<=100];Constraints = [Constraints, implies(Temp_fc(1,k),[Phss(1,k)<=0,Pfc(1,k)==Phss(1,k),Pel(1,k)==0])];%燃料电池约束Constraints = [Constraints, implies(Temp_el(1,k),[Phss(1,k)>=0,Pel(1,k)==Phss(1,k),Pfc(1,k)==0])];%电解槽约束Constraints = [Constraints, implies(Temp_Hstatic(1,k),[Pfc(1,k)==0,Pel(1,k)==0,Phss(1,k)==0])];%静置情况约束Constraints = [Constraints, Temp_fc(1,k)+Temp_el(1,k)+Temp_Hstatic(1,k)==1];%----------------------热约束--------------------%Constraints = [Constraints, 0.73*Pbl(1,k)+0.9*Peb(1,k)-Qtst(1,k)+0.25*Pel(1,k)-0.9*Pfc(1,k)==Qloadr(1,k)]; %热平衡约束0.73*Pbl(1,k)+0.9*Peb(1,k)-Qtst(1,k)+0.25*Pel(1,k)-0.9*Pfc(1,k)==Qload(1,k)Constraints = [Constraints, 0<=Qeb(1,k)<=54]; %电锅炉热功率约束Constraints = [Constraints, 10.95<=Qbl(1,k)<=51.1]; %燃气锅炉功率约束Constraints = [Constraints, -100<=Qtst(1,k)<=100];%蓄放热约束Constraints = [Constraints, implies(Temp_Qcha(1,k),[Qtst(1,k)>=0,Qcha(1,k)==Qtst(1,k),Qdis(1,k)==0])];%蓄热情况约束Constraints = [Constraints, implies(Temp_Qdis(1,k),[Qtst(1,k)<=0,Qdis(1,k)==Qtst(1,k),Qcha(1,k)==0])];%放热情况约束Constraints = [Constraints, implies(Temp_Qstatic(1,k),[Qtst(1,k)==0,Qdis(1,k)==0,Qcha(1,k)==0])];%静置情况约束Constraints = [Constraints, Temp_Qcha(1,k)+Temp_Qdis(1,k)+Temp_Qstatic(1,k)==1];%----------------------蓄电池约束--------------------%Constraints = [Constraints, -100<=Pbat(1,k)<=100];%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];Constraints=[Constraints,0.2<=S(1,k)<=0.8];Constraints=[Constraints,0.2<=E(1,k)<=0.8];Constraints=[Constraints,0.2<=H(1,k)<=0.8];end
3 程序结果
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日前调度
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日内调度
