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Modeling and Optimization of Combined Heat and Power with Power-to-Gas and Carbon Capture System in Integrated Energy System

考虑P2G和碳捕集设备的热电联供综合能源系统优化调度模型 考虑电转气P2G和碳捕集设备的热电联供综合能源系统优化调度模型，模型耦合CHP热电联产单元、电转气单元以及碳捕集单元，并重点考虑了碳交易机制，建立了综合能源系统运行优化模型，与目前市面上的代码不同，本代码完全复现了文档中所提出的四种算例场景，没有对比算例，买过去也没有任何意义，四种算例主要包括： 1） 不包括P2G、CCS、以及碳交易

2） 包括P2G，但是不包括CCS以及碳交易

3） 包括P2G和CCS，但是不包括碳交易

4） 包括P2G、CCS以及碳交易

部分代码展示：

%% [顶刊复现]Modeling and Optimization of Combined Heat and Power with Power-to-Gas and Carbon Capture System in Integrated Energy System
%Energy,SCI一区文章复现
%Powered by Denny Gavin Zhang

clc
clear
close all

%% 决策变量初始化
P_e1=sdpvar(1,24); %CHP的供电功率
P_e2=sdpvar(1,24); %CHP的供给P2G的功率
P_e3=sdpvar(1,24); %CHP的供给CCS的功率
P_h=sdpvar(1,24);  %CHP的输出热功率
P_gs=sdpvar(1,24); %P2G的产气功率
C_cc=sdpvar(1,24); %CCS的碳捕集量/P2G所用的二氧化碳量
P_mt=sdpvar(1,24); %微型燃气轮机的发电功率
P_mts=sdpvar(1,24); %微型燃气轮机的耗气功率
P_mth=sdpvar(1,24); %微型燃气轮机的产热功率
P_mtc=sdpvar(1,24); %微型燃气轮机的制冷功率
P_erc=sdpvar(1,24); %电制冷机的制冷功率
P_er=sdpvar(1,24); %电制冷机的耗电功率
P_wind=sdpvar(1,24);  %用于供电的风电出力
P_cwind=sdpvar(1,24); %弃风电量
P_pv=sdpvar(1,24); %用于供电的光电出力
P_cpv=sdpvar(1,24); %弃光电量
P_s=sdpvar(1,24);  %气源的供应上下限约束
%% 导入风光预测出力以及电热冷气负荷
Pre_wind=[37.07,38.69,37.65,36.5,30.61,15.59,10.39,7.85,8.77,13.28,13.97,16.4,15.47,17.21,13.63,15.13,16.05,14.66,17.21,17.55,18.48,31.072,36.61,36.38];
Pre_pv=[0,0,0,0,0,0.79,4.46,8.88,13.73,17.68,22.79,24.89,26.74,25.39,15.76,8.28,1,0,0,0,0,0,0,0];
P_pl=[35.57,35.78,37.015,37.079,42.86,45.059,45.275,46.066,47.22,46.13,47.92,48.29,50.23,47.21,46.35,48.10,52.36,54.26,55.208,55.099,53.46,41.93,36.17,35.11];
P_hl=[34.24,37.18,35.98,37.44,37.088,36.64,34.62,34.24,34.63,34.308,35.22,32.45,32.34,32.22,32.34,32.57,33.40,33.60,33.53,33.96,34.31,38.10,37.80,36.50];
P_cl=[16.402,16.402,15.414,16.341,16.286,16.175,15.285,15.362,18.549,20.269,22.225,24.257,24.254,24.062,22.399,17.295,16.511,16.325,15.308,16.395,16.395,16.202,15.204,16.287];
P_gl=[10.627,12.426,12.027,11.588,12.944,14.795,14.577,14.208,12.382,11.322,12.235,15.133,15.476,15.351,14.068,13.066,12.334,13.44,14.12,14.97,14.134,12.921,12.208,11.32];
%% 导入约束条件
C=[];
%带P2G和CCS的CHP运行约束
C=[C,
   10-P_e2<=P_e1<=35-P_e2, %CHP的供电功率约束
   0<=P_e2<=15, %P2G设备的耗电功率约束
   (10-15)<=P_e1<=(35-0), %CHP的供电功率上下限约束,公式(11)
   0<=P_e1, %CHP的供电功率非负性约束
   0<=P_h<=40, %CHP的热功率上下限约束
   max((10-0.15*P_h-P_e2),(0.85*(P_h-5)-P_e2))<=P_e1<=35-0.20*P_h-P_e2, %CHP的热电耦合约束
   max((-15-0.15*P_h),(0.85*(P_h-5)-15))<=P_e1<=35-0.20*P_h-0, %考虑P2G和CCS后的CHP的热电耦合约束
   (0.55/(1+0.5*1.02))*max((10-0.15*P_h-P_e1),(0.85*(P_h-5)-P_e1))<=P_gs<=(0.55/(1+0.5*1.02))*(35-0.20*P_h-P_e1), %产气功率上下限约束
   -20<=(P_e1(2:24)+P_e2(2:24))-(P_e1(1:23)+P_e2(1:23))<=20, %CHP的爬坡约束
   P_gs==0.55*P_e2, %P2G产气功率与耗电量约束 
  ];

%微型燃气轮机运行约束
C=[C,
   P_mt==0.6*P_mts, %微型燃气轮机发电量和耗气功率约束
   P_mth==0.95*1.9*P_mt*(1-0.6-0.05)/0.6, %微型燃气轮机的产热功率约束
   P_mtc==0.95*2.4*P_mt*(1-0.6-0.05)/0.6, %微型燃气轮机的产热功率约束
   5<=P_mt<=30, %微型燃气轮机的发电功率上下限约束
   -20<=P_mt(2:24)-P_mt(1:23)<=20, %微型燃气轮机的爬坡上下限约束
  ];
%电制冷机运行约束
C=[C,
   P_erc==3*P_er, %电制冷机的制冷功率和耗电功率约束
   0<=P_er<=4, %电制冷机的耗电功率上下限约束
  ];
%风光出力约束
C=[C,
   P_wind+P_cwind==Pre_wind, %包含弃风的功率约束
   P_wind>=0,P_cwind>=0, %非负性约束
   P_pv+P_cpv==Pre_pv, %包含弃光的功率约束
   P_pv>=0,P_cpv>=0, %非负性约束
  ];

效果展示：

124号资源-源程序：论文可在知网下载《考虑P2G和碳捕集设备的热电联供综合能源系统优化调度模型》本人博客有解读资源-CSDN文库https://download.csdn.net/download/LIANG674027206/89401595👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆下载资源链接👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆

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