Microgrid economic dispatch of combined cooling, heating and power based on a rank pair learning crisscross optimization algorithm

被引：0
|
作者：
Li J. [1 ]
Wu L. [1 ]
Zhang H. [1 ]
Wang W. [1 ]
Jia R. [1 ]
机构：
[1] School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2021年 / 49卷 / 18期
基金：
中国国家自然科学基金;
关键词：
CCHP; Crisscross optimization algorithm; Economic dispatch; Ground source heat pump; Rank pair learning;
D O I：
10.19783/j.cnki.pspc.201556
中图分类号：
学科分类号：
摘要：
To improve the flexibility of a combined cooling, heating and power microgrid and reducing operation costs, the ground source heat pumps are integrated into the microgrid in this paper. An economic optimization model with fans, photovoltaics, micro gas turbines, ground source heat pumps, fuel cells, and electricity storage is established. To optimize the output of each unit, a rank pair learning-based Crisscross Optimization algorithm is developed. A heuristic constraint processing method is developed to satisfy the constraints of load balance and output of each unit. To verify the effectiveness of the proposed model and algorithm, an simulation experiment consisting of typical operation scenarios in summer and winter is conducted, and the results are compared with other four optimization algorithms. The results indicate that the proposed algorithm has good global convergence performance and lower cost than the other four optimization algorithms. Thus, the proposed algorithm is an effective method for solving the economic dispatch of a combined cooling, heating and power microgrid. © 2021 Power System Protection and Control Press.
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页码：137 / 145
页数：8
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