A bi-level optimization model of distribution automation terminal configuration

被引：0

作者：

Liu X. ^{[1
]}

Wu H. ^{[2
]}

Li Y. ^{[1
]}

Wang L. ^{[1
]}

Wang C. ^{[2
]}

机构：

[1] Economic Research Institute of State Grid Jiangxi Electric Power Company Limited, Nanchang

[2] Department of Energy and Electrical Engineering, Nanchang University, Nanchang

来源：

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2020年 / 48卷 / 24期

基金：

中国国家自然科学基金;

关键词：

Bi-level optimization; Distribution automation; Distribution terminal; Reliability; Terminal configuration;

D O I：

10.19783/j.cnki.pspc.200170

中图分类号：

学科分类号：

摘要：

There are problems of large differences in the dimensions of multiple indicators and low optimization efficiency in the optimization objectives of the existing distribution terminal configuration model. Thus a bi-level optimization method of distribution terminal configuration is proposed. First, the types of distribution terminals and the reliability calculation of a distribution system containing distribution terminals are analyzed. Secondly, the bi-level optimization model of distribution terminal configuration is established. The upper level optimization model aims at minimizing distribution terminal configuration cost and establishing the installation positions of distribution terminals. The lower level optimization model is used to determine the installation types of distribution terminals with the goal of minimizing outage loss cost. Then, the solution of the bi-level optimization model is given. The upper level optimization model is solved by a binary particle swarm optimization algorithm which is easy to implement, and the lower level optimization model is solved by a firefly algorithm which has few preset parameters and high optimization efficiency. Finally, the reasonability and effectiveness of the proposed bi-level optimization model and solution method are verified by IEEE RBTS BUS2. © 2020, Power System Protection and Control Press. All right reserved.

引用

页码：136 / 144

页数：8

共 29 条

[1]

HU Liexiang, WANG Lei, ZHENG Weimin, Et al., Optimal planning of switch points based on comprehensive analysis of grid structure, Power System and Clean Energy, 35, 1, pp. 28-35, (2019)

[2]

MOHAMMED A, TAREK B, ISMAIL M., Power system voltage instability risk mitigation via emergency demand response-based whale optimization algorithm, Protection and Control of Modern Power Systems, 4, 4, pp. 269-282, (2019)

[3]

LI Ziyun, CHENG Lexiang, WANG Zizhen, Et al., A method of layout planning for distribution automation terminal, Power System Technology, 40, 4, pp. 1271-1276, (2016)

[4]

CHEN Dongxin, WU Zhigang, Dynamic planning of distribution automation terminal units placement optimization, Power System Protection and Control, 45, 12, pp. 1-8, (2017)

[5]

WANG Yong, XU Xun, MEI Jun, Et al., Automatic recognition technology of distribution terminal based on IEC61850, Electrical Measurement & Instrumentation, 53, 6, pp. 32-36, (2016)

[6]

ZHANG Pan, LING Wanshui, ZHENG Yue, Et al., Research on the evaluation method of distribution automation operation based on fuzzy analytic hierarchy process, Electrical Measurement & Instrumentation, 53, 22, pp. 72-77, (2016)

[7]

CHEN Deyu, SHEN Jihong, ZHANG Renzhong, Et al., Realization of fault observability of distribution system and corresponding optimal configuration method of feeder terminal units, Power System Technology, 35, 2, pp. 94-99, (2011)

[8]

XIANG Tianchun, QI Yan, DONG Yichao, Et al., Optimal configuration method for terminals considering the reliability and observability of distribution network, Proceedings of the CSU-EPSA, 29, 6, pp. 107-112, (2017)

[9]

HU Yibo, ZHANG Zhonghui, HE Lezhang, Configuration method of distribution terminal units based on power supply reliability, Electrical Measurement & Instrumentation, 53, 10, pp. 124-128, (2016)

[10]

WANG Mingdong, FANG Di, BAO Yuzhe, Research on the optimal allocation of power distribution terminal with comprehensive consideration of reliability and economy, Electrical Measurement & Instrumentation, 55, 6, pp. 42-46, (2018)

← 1 2 3 →