Optimal Operation of Energy Internet Based on User Electricity Anxiety and Chaotic Spatial Variation Particle Swarm Optimization

CORC > 金属研究所 > 中国科学院金属研究所

	Optimal Operation of Energy Internet Based on User Electricity Anxiety and Chaotic Spatial Variation Particle Swarm Optimization
	Yang Dongsheng 1; Chong Qianqian 1; Hu Bo 2; Ma Min 2
刊名	TSINGHUA SCIENCE AND TECHNOLOGY
	2018
卷号	23 期号:3 页码:243-253
关键词	MANAGEMENT ALGORITHM SYSTEM Electricity Anxiety (EA) Energy Internet (EI) chaotic spatial variation particle swarm optimization optimal operation
ISSN号	1007-0214
其他题名	Optimal Operation of Energy Internet Based on User Electricity Anxiety and Chaotic Spatial Variation Particle Swarm Optimization
英文摘要	Ignoring load characteristics and not considering user feeling with regard to the optimal operation of Energy Internet (EI) results in a large error in optimization. Thus, results are not consistent with the actual operating conditions. To solve these problems, this paper proposes an optimization method based on user Electricity Anxiety (EA) and Chaotic Space Variation Particle Swarm Optimization (CSVPSO). First, the load is divided into critical load, translation load, shiftable load, and temperature load. Then, on the basis of the different load characteristics, the concept of the user EA degree is presented, and the optimization model of the EI is provided. This paper also presents a CSVPSO algorithm to solve the optimization problem because the traditional particle swarm optimization algorithm takes a long time and particles easily fall into the local optimum. In CSVPSO, the particles with lower fitness value are operated by using cross operation, and velocity variation is performed for particles with a speed lower than the setting threshold. The effectiveness of the proposed method is verified by simulation analysis. Simulation results show that the proposed method can be used to optimize the operation of EI on the basis of the full consideration of the load characteristics. Moreover, the optimization algorithm has high accuracy and computational efficiency.
语种	英语
CSCD记录号	CSCD:6276456
内容类型	期刊论文
源URL	[http://ir.imr.ac.cn/handle/321006/144099]
专题	金属研究所_中国科学院金属研究所
作者单位	1.东北大学 2.中国科学院金属研究所
推荐引用方式 GB/T 7714	Yang Dongsheng,Chong Qianqian,Hu Bo,et al. Optimal Operation of Energy Internet Based on User Electricity Anxiety and Chaotic Spatial Variation Particle Swarm Optimization[J]. TSINGHUA SCIENCE AND TECHNOLOGY,2018,23(3):243-253.
APA	Yang Dongsheng,Chong Qianqian,Hu Bo,&Ma Min.(2018).Optimal Operation of Energy Internet Based on User Electricity Anxiety and Chaotic Spatial Variation Particle Swarm Optimization.TSINGHUA SCIENCE AND TECHNOLOGY,23(3),243-253.
MLA	Yang Dongsheng,et al."Optimal Operation of Energy Internet Based on User Electricity Anxiety and Chaotic Spatial Variation Particle Swarm Optimization".TSINGHUA SCIENCE AND TECHNOLOGY 23.3(2018):243-253.