《智能电网框架下电动汽车充电负荷调控策略11000字》

[8]提出的一种换电池充电模式，利用低谷时间段对备用电池进行充电，这种思路值得考虑。在进行需求响应行为时，可以引入文献[4]提出的“阶梯碳价”进一步加强需求响应行为与碳交易市场的联系。

附录变量定义部分model:sets:unit/1..8/:a,b,c,mon,moff,powermax,powermin,rud;!定义出与机组相关的时不变参数hour/1..24/:pev,eev,mev,cev,p1,pw,ppv,nev,pts,r,k,beta;!定义出时变参数links(unit,hour):u,power,ton,toff,f;!定义与机组相关的时变参数endsets数据部分data:a=0.000015,0.000016,0.000017,0.000021,0.00003,0.00004,0.000029,0.00005;b=0.12,0.13,0.14,0.14,0.16,0.16,0.2,0.19;c=5.25,5.1,3.37,3.37,2.77,2.78,3.6,4.95;mon=5,5,6,6,3,3,2,1;moff=5,5,6,6,3,3,2,1;powermax=130,130,162,162,80,80,85,85;powermin=20,20,25,25,20,20,25,15;rud=0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2;pev=60,50,45,40,40,50,45,48,20,45,65,70,80,95,80,95,70,65,80,85,80,70,75,80;p1=230,228,225,224,223,225,230,240,250,260,270,275,290,300,290,295,300,315,325,300,290,285,280,275;pw=200,150,50,125,245,200,120,170,150,200,190,175,75,80,125,200,245,225,190,170,100,75,50,90;ppv=0,0,0,0,0,0,14.3,28.6,42.9,57.2,71.5,85.8,100.1,100,85.8,71.5,57.2,42.9,28.6,14.3,0,0,0,0;nev2=50000;pts=0.94,0.89,0.77,0.65,0.54,0.43,0.4,0.32,0.29,0.27,0.25,0.24,0.21,0.2,0.18,0.17,0.16,0.15,0.13,0.11,0.1,0.09,0.08,0.07;k=0.2,0.2,0.5,0.2,0.2,0.2,0.2,0.5,0.8,0.8,0.8,0.8,0.8,0.8,0.5,0.5,0.5,0.5,0.5,0.2,0.5,0.5,0.8,0.2;qcoal=800;pwmax=200;ppvmax=50;qiguang=0.011;qifeng=0.11;eth=0.9109;kth=0.25;dis=0.8112;deltat=1;egas=0.197;kev=0.25;open=8000;off=8000;pch=2.5;qn=60;enddata主函数部分min=(cost+costth+ce/qe);!将两阶段模型的主函数进行加和作为本模型的主函数;@for(links(n,t):@bin(u(n,t)));!机组启停系数;cost=@sum(links(n,t)|t#ne#1:u(n,t)*(qcoal*f(n,t)+(1-u(n,t-1))*(open+off)));！机组的发电成本;@for(links(n,t):f(n,t)=u(n,t)*(a(n)*power(n,t)^2+b(n)*power(n,t)+c(n)));!机组煤耗量costth=@sum(links(n,t):kth*power(n,t)*eth-kth*dis*power(n,t));!发电过程中的碳排放成本@for(hour(t):beta(t)=@sum(unit(n):power(n,t)/(@sum(unit(n):power(n,t))+pw(t)+ppv(t))));!火电占比@for(hour(t):cev(t)=kev*(egas-pev(t)*beta(t)*eth));!电动汽车碳配额收益@for(hour(t):@free(cev(t)));ce=@sum(hour(t):pev(t)*k(t)-cev(t));!电动汽车总充电成本qe=@sum(hour(t):pev(t)*deltat);!电动汽车总充电量约束条件部分@for(hour(t):pw(t)+ppv(t)+@sum(unit(n):u(n,t)*power(n,t))-(p1(t)+pev(t))=0);!系统功率平衡约束@for(hour(t):r(t)=0.1*pev(t)+0.1*p1(t));!备用容量约为总负荷10%@for(hour(t):pwmax+ppvmax+@sum(unit(n):u(n,t)*powermax(n))>=pev(t)+p1(t)+r(t));!系统备用容量约束@for(links(n,t):power(n,t)>=powermin(n));@for(links(n,t):power(n,t)<=powermax(n));!机组出力约束@for(links(n,t)|t#ne#1:@abs(power(n,t)-power(n,t-1))<=rud(n)*deltat*powermax(n));!机组爬坡约束;@for(links(n,t)|t#ne#1:(ton(n,t-1)-mon(n))*(u(n,t-1)-u(n,t))>=0);@for(links(n,t)|t#ne#1:(toff(n,t-1)-moff(n))*(u(n,t-1)-u(n,t))>=0);!机组启停约束@for(hour(t):pev(t)<=nev(t)*pch);@for(hour(t):nev(t)=nev2*pts(t));@sum(hour(t):pev(t)*deltat)>=qn;!电动汽车充电负荷约束@for(hour(t):pw(t)<=pwmax);@for(hour(t):ppv(t)<=ppvmax);@sum(hour(t):ppv(t))>=@sum(hour(t):ppvmax*(1-qiguang));@sum(hour(t):pw(t))>=@sum(hour(t):pwmax*(1-qifeng));!清洁能源消纳约束

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