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A Fuzzy-Multiagent Self-Healing Scheme for a Distribution System With Distributed Generations

机译:分布式发电系统的模糊-多智能体自愈方案

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摘要

In this paper, a new multi-agent control system (MACS) is proposed for smart distribution networks. It can: 1) eliminate the feeders' congestion, 2) globally correct voltage violations, and 3) coordinate the operation of reactive power control devices. In performing its functions, the MACS must prevent overstress on the substation voltage regulator tap changer under all operating conditions, and avoid selective active power curtailment from DG units. This can help to improve reliability, economic revenue, and power quality. A fuzzy rule-based system is employed for decision-making support in MACS. The proposed MACS can achieve the self-healing requirement of smart distribution network. It eliminates feeders' congestion by properly reconfiguring the distribution network. Meanwhile, it amends most of voltage violation problems by coordinated operation of voltage control devices in the distribution system. The MACS overcomes the severe voltage violation problems via distribution network reconfiguration. It is applied to the IEEE 33-bus test feeder. A full dynamic model is constructed using a parallel MATLAB-JADE simulation arrangement. Comparative performance evaluations of the MACS and other schemes are presented under various conditions.
机译:本文提出了一种用于智能配电网的新型多智能体控制系统(MACS)。它可以:1)消除馈线的拥塞,2)全面纠正电压违规,以及3)协调无功功率控制设备的操作。在执行其功能时,MACS必须在所有运行条件下防止变电站调压器分接开关承受过大的压力,并避免DG装置有选择地削减有功功率。这可以帮助提高可靠性,经济收入和电能质量。基于模糊规则的系统用于MACS中的决策支持。所提出的MACS可以满足智能配电网的自我修复要求。通过适当地重新配置配电网络,消除了馈线的拥塞。同时,它通过配电系统中电压控制设备的协调运行,修正了大多数违反电压的问题。 MACS通过配电网络重新配置克服了严重的电压违规问题。它适用于IEEE 33总线测试馈送器。使用并行MATLAB-JADE仿真装置构建完整的动态模型。在各种条件下,都对MACS和其他方案进行了比较性能评估。

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