基于多智能体方法的分布式配电系统恢复

T. Nagata, K. Okamoto
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引用次数: 12

摘要

提出了一种分布式配电系统恢复的多智能体方法。目前,对电力系统恢复问题进行了大量的研究。从系统结构的角度来看,这些研究可以分为两类:集中式系统和分散式系统。在本研究中,我们采用分布式方法中的多智能体方法来解决配电系统的恢复问题。将所得到的解与用数学规划方法求得的解进行了比较。仿真结果表明,所提出的恢复方法仅利用局部信息即可得到正确的解。解决方案的质量等同于集中系统的质量。这意味着所提出的多智能体恢复系统对于更大规模的配电网是一种很有前途的方法。
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A decentralized distribution power system restoration by using multi-agent Approach
This paper proposes a multi-agent approach to decentralized distribution power system restoration. So far, numerous studies have been conducted on power system restoration problems. From the view point of the system structures, these researches can be divided into two categories: centralized systems and decentralized systems. In this study, we have solved the distribution power system restoration problem by using multi-agent approach, which is categorized in the distributed approach. The solved solutions have been compared with the solutions which were solved by the mathematical programming approach. From the simulation results, it can be seen the proposed restoration method could reach the right solution by making use of only local information. The solution quality is equivalent to the quality of the centralized system. This means that the proposed multi-agent restoration system is a promising approach to more large-scale distribution network.
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