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Multi-stage power source and grid coordination planning method considering grid uniformity

2020-09-26

基于电网均匀性的多阶段源网协调规划方法

Zhiqi Li¹, Xueshan Han¹, Ming Yang¹, Yiran Ma¹

（1.School of Electrical Engineering, Shandong University, NO.17923 Jingshi Road, Jinan 250061, P.R. China）

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Abstract

Given the increasing uncertainties in power supply and load, this paper proposes the concept of power source and grid coordination uniformity planning. In this approach, the standard deviation of the transmission line load rate is considered as the uniformity evaluation index for power source and grid planning. A multi-stage and multi-objective optimization model of the power source and grid expansion planning is established to minimize the comprehensive cost of the entire planning cycle. In this study, the improved particle swarm optimization algorithm and genetic algorithm are combined to solve the model, thus improving the efficiency and accuracy of the solution. The analysis of a simple IEEE Garver’s 6-node system shows that the model and solution method are effective and feasible. Moreover, they are suitable for the coordinated planning of the power source and grid under a diversified nature of power supply and load.

Keywords

Power source and grid coordination, Grid uniformity, Grid expansion planning, Evaluation index of uniformity.

Fig.1 Flowchart of the solution method of power source and grid coordination plan model

Fig.2Initial-state network diagram of Garver’s six-node system

Fig.3Typical daily curves of loads, PV power, and wind power (stage 1)

Fig.4Net load curve (stage 1)

Fig.5Typical daily curves of loads, PV power, and wind power (stage 2)

Fig.6Net load curve (stage 2)

本文引文信息

Li ZQ, Han XS, Yang M, Ma YR (2020) Multi-stage power source and grid coordination planning method considering grid uniformity, 3(4): 303-312

李智琦，韩学山，杨明，马逸然(2020) 基于电网均匀性的多阶段源网协调规划方法. 全球能源互联网（英文），3(4): 303-312

Biographies

Zhiqi Li

Zhiqi Li was born in Shandong, China, in 1995. He received the B.S degree in electrical engineering from Hunan University, Changsha, China, in 2014, where he is currently working toward the M.S. degree in electrical engineering from Shandong University. His research interests include power system planning, operation, and control.

Xueshan Han

received the B.E. and M.S. degrees in electrical engineering from Northeast Dianli University, Jilin, China, in 1984 and 1989, respectively, and the Ph.D. degree in electrical engineering from the Harbin Institute of Technology, Harbin, China. He is currently a full-time Professor of electrical engineering with Shandong University, Jinan, China. His research interests include power system operation and control, power system reliability assessment, and power economics.

Ming Yang

received the B.E. and Ph.D. degrees in electrical engineering from Shandong University, Jinan, China, in 2003 and 2009, respectively. He was an exchange Ph.D. student at the Energy System Research Center, University of Texas at Arlington, Arlington, TX, USA, from October 2006 to October 2007. Currently, he is a Professor with Shandong University. His research interests include power system optimal operation and control.

Yiran Ma

Yiran Ma was born in Shandong, China, in 1996. She received the B.S degree in electrical engineering from Shandong University of Science and Technology Jinan, China, in 2014, where she is currently working toward the M.S. degree in electrical engineering. Her research interests include energy storage and power system operation and control.

editor：Yangbo Wang

reviewer：Wei Wang