电力系统恢复的多智能体系统

2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194) Pub Date : 2001-01-28 DOI:10.1109/PESW.2001.917285

T. Nagata, H. Sasaki

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引用次数: 16

摘要

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。

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A multi-agent system for power system restoration

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.

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来源期刊

2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194)

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