微电网智能配电系统的混合MAS故障定位、隔离与恢复

S. Chouhan, F. Mohammadi, A. Feliachi, J. Solanki, M. Choudhry
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引用次数: 7

摘要

本文提出了一种混合多智能体系统(MAS)故障定位、隔离和恢复(FLIR)解决方案,该方案采用集中式和分散式两种概念来实现微电网配电馈线的故障定位、隔离和恢复。MAS的主要目标是定位和隔离故障,然后自动为馈线的非故障部分重新供电,同时保持系统限制,如电压限制和负载水平。所提出的MAS体系结构利用了agent技术的关键特征,其中故障检测由agent自主完成,故障恢复通过协调的agent通信实现。在美国能源部(DOE)名为西弗吉尼亚超级电路(WVSC)的示范项目的努力下,拟议的MAS概念旨在在当地公用事业公司Mon Power的少数电路上实施。实际配电网采用CYMDIST和Matlab/Simpower进行仿真,MAS采用Matlab s函数进行建模。
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Hybrid MAS Fault Location, Isolation, and Restoration for smart distribution system with Microgrids
A hybrid Multi Agent System (MAS) Fault Location, Isolation, and Restoration (FLIR) solution has been proposed in this paper that uses both centralized and decentralized concepts to accomplish FLIR on distribution feeders with Microgrids. The main objective of the MAS is to locate and isolate the fault and then automatically reenergize un-faulted portions of feeders while maintaining system constraints like voltage limits and loading levels. The proposed MAS architecture exploits key features of agent technology where the fault detection is accomplished autonomously by agents and fault restoration is achieved by coordinated agent communications. The proposed MAS concept is designed to be implemented on few circuits in the territory of local utility, Mon Power, under the efforts of a Department of Energy (DOE) demonstration project named West Virginia Super Circuit (WVSC). The real distribution network is simulated in CYMDIST and Matlab/Simpower whereas the MAS is modeled using Matlab S-functions.
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