基于MAS的配电网复电系统设计

高大棚; 叶兴旺; 兰启奎

引用本文:	高大棚,叶兴旺,兰启奎.基于MAS的配电网复电系统设计[J].电力系统保护与控制,2016,44(4):103-110.
	GAO Dapeng,YE Xingwang,LAN Qikui.Design of active power restoration system for distribution network based on MAS[J].Power System Protection and Control,2016,44(4):103-110

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基于MAS的配电网复电系统设计
高大棚¹, 叶兴旺², 兰启奎³
1.四川石油管理局川南矿区，四川泸州 646001;2.西南油气田公司重庆气矿，重庆 401220;3.西南油气田公司蜀南气矿，四川自贡 643000

摘要:

针对配电网负荷失电后的复电问题，基于多代理技术和JADE开发平台，设计了一个配电网主动复电系统，其中主要包含代表实际配电网支线的支线代理和代表配电网负荷的负荷代理。当配电网支线上发生故障时，失电的负荷代理向其所在的支线代理发送故障报告，请求为其恢复供电。故障支线的代理通过与网络中其他支线的协调，通过负荷开关将失电负荷转供到邻近正常支线上，从而恢复故障负荷的供电。在Matlab/Simulink仿真环境下搭建了一个简单配电网络模型，将所设计的多代理系统用于解决该配电网的负荷复电问题，验证了该多代理系统的可行性和有效性。

关键词: 多代理系统系统设计配电网络复电重构负荷转供

DOI：10.7667/PSPC150711

分类号:

基金项目:

Design of active power restoration system for distribution network based on MAS

GAO Dapeng¹, YE Xingwang², LAN Qikui³

1.Southern Sichuan District of Sichuan Petroleum Administration, Luzhou 646001, China;2.Chongqing Gas District of PetroChina Southwest Oil and Gasfield Company, Chongqing 401220, China;3.Southern Sichuan Gas District of PetroChina Southwest Oil and Gasfield Company, Zigong 643000, China

Abstract:

Aiming at the power restoration problem after the black out of distribution network, an active restoration system of distribution network is proposed based on multi-agent technology and JADE platform. There are two kinds of agent in the proposed system, i.e., the FeederAgent which represents the actual feeder in the distribution network, and the LoadAgent which stands for the actual load. When failure occurs on the feeder, the blackout loads send failure reports to the corresponding FeederAgent, requesting for restoring the power supply. Through coordination with other FeederAgengs in the distribution network, the FeederAgent with faults transfers the blackout loads to the adjacent normal feeders, and then restores the power supply of those loads. The proposed multi-agent system is utilized to solve the power restoration problem of a simple distribution network model built under the Matlab/Simulink environment, and its feasibility and effectiveness is verified.

Key words: multi-agent system system design distribution network power restoration load transfer

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