基于NSGAⅢ与TOPSIS的微电网冷热电联供系统最优经济调度  

Optimal economic scheduling of microgrid combined cooling,heating and power system based on NSGAIII and TOPSIS

作　　者：邓晖 DENG Hui(State Grid Changzhou Jintan District Power Supply Branch,Changzhou 213000,China)

机构地区：[1]国网常州市金坛区供电分公司,江苏常州213000

出　　处：《电气应用》2025年第3期33-40,共8页Electrotechnical Application

摘　　要：为实现微电网冷热电联供系统最优经济调度,以系统运行成本、防污染成本以及微电网冷热电联供系统电力成本作为优化目标,建立了各电力设备数学模型。采用NSGAⅢ算法求解优化目标,得到基于分布均匀参考点下的多个目标优化的解集,最后采用TOPSIS算法选取多个解集下的最优解。结果表明,NSGAⅢ算法解决了微电网冷热电联供系统优化调度的问题,而基于TOPSIS算法选取优化后的最优解实现了最优经济调度的目标,为微电网冷热电联供系统最优经济调度问题的研究提供了可行性参考。In order to realize the optimal economic dispatch of the microgrid combined cooling,heating and power system,the mathematical model of each power equipment was established with the system operation cost,pollution prevention cost and the power cost of the microgrid combined cooling,heating and power system as the optimization goals.In this paper,the NSGAIII algorithm is used to solve the optimization objectives,and the solution set based on multiple objective optimization under the uniform distribution reference point is obtained,and finally the TOPSIS algorithm is used to select the optimal solution under the multiple solution sets.The results show that the NSGAIII algorithm is used to solve the problem of optimal scheduling of microgrid combined cooling,heating and power system,and the optimal solution selected based on TOPSIS algorithm achieves the goal of optimal economic scheduling,which provides a feasible reference for the study of optimal economic scheduling of microgrid combined cooling,heating and power system.

关 键 词：微电网 冷热电联供 NSGAⅢ算法 TOPSIS算法 最优经济调度 

分 类 号：TM7[电气工程—电力系统及自动化]