摘要
主要研究含电转气(power to gas,P2G)的冷热电联供(combined cooling,heating and power,CCHP)型微电网多目标优化调度模型。首先研究分析了CCHP型微电网结构及P2G工作原理,以运行成本和环境治理成本为目标建立含P2G的CCHP型微电网的多目标优化调度模型,然后运用基于帕累托(Pareto)最优解的多目标粒子群(multi-objective particle sware optimization,MOPSO)算法求解,最后算例分析验证了P2G可提高CCHP型微电网运行系统的弃风消纳能力,同时可提高系统运行的经济性和环保性。
This paper mainly studies the multi-objective optimization scheduling model of combined cooling heating and power(CCHP)microgrid containing power to gas(P2 G).Firstly,the structure of CCHP microgrid and the working principle of P2 G are researched and analyzed.The multi-objective optimal scheduling model of CCHP microgrid with P2 G is established with the objective of operating cost and environmental governance cost.Then,MOPSO algorithm based on Pareto optimal solution was applied to solve the problem.Finally,an example analysis verifies that P2 G can improve the wind abandoning capacity of the CCHP microgrid operating system,and at the same time can improve the economic and environmental protection of the system operation.
作者
张承鑫
白尚旻
赵冠雄
马群凯
ZHANG Chengxin;BAI Shangmin;ZHAO Guanxiong;MA Qunkai(Northeast Electric Power University,Jilin 132012,China;State Grid Jilin Power Supply Company,Jilin 132012,China;State Grid Changchun Power Supply Company,Changchun 130021,China)
出处
《吉林电力》
2021年第2期28-32,共5页
Jilin Electric Power
关键词
电转气
冷热电联供
多目标优化
多目标粒子群
power to gas(P2G)
combined cooling,heating and power(CCHP)
multi-objective optimization
multi-objective particle sware optimization(MOPSO)