Multi-index Economical Peak Load Regulation Model Based on Improved Particle Swarm Optimization

	Multi-index Economical Peak Load Regulation Model Based on Improved Particle Swarm Optimization
	Hao, Xiaohong 1; Yang, Jingyuan 2
	2017
关键词	virtual power plant multi-objective optimization peak load regulation Grey Particle Swarm Optimization
卷号	124
页码	338-343
英文摘要	In recent years, new energy continued rapid growth in China. Installed capacity of wind power and solar power both surged the new highs. However, the problem of insufficient peak peaking capacity of power system of large-scale new energy grid becoming more and more serious due to the random and intermittent characteristics of wind power and photovoltaic. This paper put forward a strategy of virtual power plant, which consisting of uncontrollable renewable energy and controllable energy will participate peak load regulation. With goal of minimizing the load variance and operating cost in each period, a multi-objective peak load regulation modes of virtual power plant is established. Power output of each energy resource of virtual power plant is obtained with improved grey particle swarm algorithm. Take the IEEE33 node distribution system as an example to simulate. The results show that the peak load regulation model can be carried out economically and effectively peak-shaving.
会议录	PROCEEDINGS OF THE 2017 2ND INTERNATIONAL SYMPOSIUM ON ADVANCES IN ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING (ISAEECE 2017)
会议录出版者	ATLANTIS PRESS
会议录出版地	29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
语种	英语
WOS研究方向	Engineering
WOS记录号	WOS:000417221100065
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36236]
专题	电气工程与信息工程学院
通讯作者	Hao, Xiaohong
作者单位	1.Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Gansu, Peoples R China 2.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Hao, Xiaohong,Yang, Jingyuan. Multi-index Economical Peak Load Regulation Model Based on Improved Particle Swarm Optimization[C]. 见:.