基于改进蜂群算法的独立二次一体化中心优化选址策略

doi:10.11930/j.issn.1004-9649.202007047

中国电力 ›› 2021, Vol. 54 ›› Issue (9): 1-8.DOI: 10.11930/j.issn.1004-9649.202007047

基于改进蜂群算法的独立二次一体化中心优化选址策略

熊小萍, 郝邵磊, 孙帝, 林光阳, 李航

广西大学电气工程学院，广西南宁 530004

收稿日期:2020-07-15 修回日期:2021-03-11 出版日期:2021-09-05 发布日期:2021-09-14
作者简介:熊小萍(1979-),女,博士,副教授,从事电力系统稳定与控制研究,E-mail:xxp001@sina.com;郝邵磊(1996-),男,通信作者,硕士研究生,从事电力系统通信优化研究,E-mail:904115397@qq.com
基金资助:
国家自然科学基金资助项目（配电网独立二次一体化中心及保护控制通信系统研究，51867004）

Site Selection Optimization Strategy for Independent Secondary Device Integrated Center Based on Improved Artificial Bee Colony Algorithm

XIONG Xiaoping, HAO Shaolei, SUN Di, LIN Guangyang, LI Hang

College of Electrical Engineering, Guangxi University, Nanning 530004, China

Received:2020-07-15 Revised:2021-03-11 Online:2021-09-05 Published:2021-09-14
Supported by:
This work is supported by National Natural Science Foundation of China (Study on the Independent Secondary Device Integratied Center of Distribution Network and Its Communication System of Protection Control, No.51867004).

摘要/Abstract

摘要： 针对城市变电站土地建设成本高及配电网供电可靠性要求不断提高的情况，提出一种实现变电站紧凑化和提升配电网保护控制性能的独立二次一体化中心的概念。为解决保护形态变迁后该中心与站间能够正常实现保护功能等问题，独立二次一体化中心的选址尤其重要，须综合考虑多种因素。结合传统变电站选址方案和独立二次一体化中心的特定需求搭建适用于该中心的优化选址模型，该模型主要考虑信息时延、居民影响及负荷分布3种因素，以某市区内变电站拓扑作为仿真实例，通过改进蜂群算法快速计算出最优解的可能区间，然后经精确计算得出最适合该中心的选址节点，最后通过分析最优节点的各项指标，充分说明所提模型的实际工程意义及方法的优越性。

关键词: 优化选址, 独立二次一体化中心, 熵权法, 改进蜂群算法, 层次分析法

Abstract: In view of the high cost of land requisition for urban substations and the increasing demand for power supply reliability of distribution networks, a concept of independent secondary device integrated center (ISDIC) is proposed to realize the compactness requirements of substations and improves the performance of the existing distribution network protection schemes. In order to realize the normal protection function between the center and the substations after change of the protection topology, the site selection for the ISDIC is particularly important, and multiple factors should be considered comprehensively. For this reason, an optimal site selection model is built for the ISDIC by combining the conventional substation site selection schemes and the specific center requirements, which mainly considers such three factors as information delay, resident influence and load distribution. Taking the simple topology of a substation in a city’s urban area as an example, the effectiveness of the model is proved. Firstly, the possible interval of the optimal solution is calculated with the improved artificial bee colony algorithm; and then the ISDIC site node that is most suitable for the center is obtained through precise calculations; and finally the practical engineering significance of the model and the superiority of the method are fully illustrated through analyzing the indexes of the optimal node.

Key words: site selection optimization, independent secondary device integrated center, entropy weight method, improved artificial bee colony algorithm, analytic hierarchy process

熊小萍, 郝邵磊, 孙帝, 林光阳, 李航. 基于改进蜂群算法的独立二次一体化中心优化选址策略[J]. 中国电力, 2021, 54(9): 1-8.

XIONG Xiaoping, HAO Shaolei, SUN Di, LIN Guangyang, LI Hang. Site Selection Optimization Strategy for Independent Secondary Device Integrated Center Based on Improved Artificial Bee Colony Algorithm[J]. Electric Power, 2021, 54(9): 1-8.

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基于改进蜂群算法的独立二次一体化中心优化选址策略

Site Selection Optimization Strategy for Independent Secondary Device Integrated Center Based on Improved Artificial Bee Colony Algorithm

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基于改进蜂群算法的独立二次一体化中心优化选址策略

Site Selection Optimization Strategy for Independent Secondary Device Integrated Center Based on Improved Artificial Bee Colony Algorithm

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