电力系统停电调度的多智能体方法

M. Utatani, T. Nagata, H. Nakayama, Y. Nakamura
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引用次数: 4

摘要

本文提出了一种多智能体方法来研究电力系统正常状态下的切换操作。所提出的多智能体系统由若干促进者智能体(FAGS)、设备智能体(EAGs)和开关箱智能体(SBAGs)组成。FAG作为代理之间谈判过程的管理者。EAG对应于电力系统的母线、变压器、输电线路等设备,SBAG是由相邻的断路器和断开开关组成的伪对象。所提出的多智能体系统通过与相邻智能体的交互来实现适当的切换操作。模型系统的计算机测试表明,该方法是有效的和有前途的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-agent approach to outage work scheduling for electric power system
This paper proposes a multi-agent approach to power system switching operations in normal states. The proposed multi-agent system consists of several facilitator-agents (FAGS), equipment-agents (EAGs) and switch-box-agents (SBAGs). FAG acts as a manager for negotiation process between agents. EAG corresponds to an equipment of the electric power system such as a bus, a transformer and a transmission line, while SBAG is a pseudo-object which consists of neighboring circuit breakers and disconnecting switches. The proposed multi-agent system realizes appropriate switching operations by interacting with neighboring agents. Computer tests on a model system show that the proposed approach is effective and promising.
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