A BDI multi-agent approach for power restoration

Qiangguo Ren, Li Bai, S. Biswas, F. Ferrese, Q. Dong
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引用次数: 9

Abstract

The objective of this paper is to design and develop a Belief-Desire-Intention (BDI) agent-based approach for power system restoration. We describe a multiple bus electrical power system (multi-bus power system) as a market environment that consists of BDI bus agents representing two different characters, consumer and producer. These bus agents are able to balance the power system between power generation and load consumption while consumers explore the market and trade the power resource with producers. In addition, the power system will be naturally and efficiently split into power branches by the bus agents. When a fault occurs in the system, the bus agents can maximize the capacity of the served loads or minimize the loss of power loads (when load shedding may be the only option) in a timely manner. The proposed BDI multi-agent approach can be applied to any size or structure of the multi-bus power systems. It is shown from our simulation and results comparison that the proposed approach becomes more effective and efficient when the scale of the multi-bus power system expands.
电力恢复的BDI多智能体方法
本文的目的是设计和开发一种基于信念-欲望-意图(BDI)智能体的电力系统恢复方法。我们将多总线电力系统(多总线电力系统)描述为一个由代表消费者和生产者两种不同角色的BDI总线代理组成的市场环境。这些总线代理能够平衡电力系统的发电和负荷消耗,而消费者则探索市场并与生产者进行电力资源交易。此外,电力系统将被母线代理自然有效地分割成电力支路。当系统发生故障时,总线代理可以及时最大化所服务负载的容量或最小化电力负载的损失(当负载减少可能是唯一的选择时)。所提出的BDI多智能体方法可以应用于任何规模和结构的多母线电力系统。仿真和结果对比表明,当多母线电力系统规模扩大时,所提出的方法更加有效。
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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