基于改进MOEAD算法的CCHP系统运行优化  

Operation Optimization Of Combined Cooling,Heating and Power System Based on Improved MOEAD Algorithm

作　　者：汪永康 黄伟 WANG Yong-kang;HUANG Wei(College of Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China)

机构地区：[1]上海电力大学自动化工程学院,上海200090

出　　处：《计算机仿真》2024年第6期114-119,128,共7页Computer Simulation

基　　金：国家电网公司华东分部科技项目(H2021-111)。

摘　　要：通过综合考虑冷热电联供(CCHP)系统中各类约束条件,基于夏冬两季典型日负荷需求曲线,构建了吸收式制冷机、燃气内燃机和燃气锅炉等主要机组设备模型。针对区域内系统经济性与环保性两者的协调优化问题,提出一种改进的基于分解的多目标进化算法(multi-objective optimization algorithm based on Decomposition, MOEA/D)对系统模型进行多目标优化求解。最后以某商业区能源站为实际算例,通过Matlab进行仿真。仿真结果显示所提出的系统优化方法,能使该能源站的运行更加经济与高效。By comprehensively considering various constraints in the CCHP system,and based on typical daily load demand curves in summer and winter,the main unit equipment models such as absorption refrigeration machines,gas internal combustion engines,and gas boilers are constructed.For the coordination and optimization of the system economy and environmental protection in the region,an improved MOEA/D is proposed to optimize the system model for performing a multi-objective optimization solution.Finally,an energy station in a commercial district is taken as an actual example,and the simulation is carried out through Matlab.The results show that the proposed system optimi⁃zation method can make the operation of the energy station more economical and efficient.

关 键 词：基于分解的多目标进化算法 冷热电联供 多目标优化 典型日 

分 类 号：TM743[电气工程—电力系统及自动化]