A multi-agent system for power system restoration

T. Nagata, H. Sasaki
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引用次数: 16

Abstract

This paper proposes a multi-agent approach to power system restoration. The proposed system consists of several bus agents (BAGs) and a single facilitator agent (FAG). A BAG is developed to decide a sub-optimal target configuration after faults occur by interacting with other BAGs, while a FAG is developed to act as a manager for the decision process. The interaction of several simple agents leads to a dynamic system allowing efficient approximation of a solution. It is shown from simulation results that this method is able to obtain sub-optimal target configurations which are the same as ones obtained by a mathematical programming approach.
电力系统恢复的多智能体系统
提出了一种多智能体的电力系统恢复方法。该系统由几个总线代理(BAGs)和一个辅助代理(FAG)组成。开发了一个BAG,通过与其他BAG交互,在发生故障后确定次优目标配置,而开发了一个FAG,作为决策过程的管理者。几个简单的代理的相互作用导致一个动态系统允许有效的近似解。仿真结果表明,该方法能够得到与数学规划方法相同的次优目标构型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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