Multi-agent systems (MAS) can be applied to service restoration planning of distribution systems. The main purpose of service restoration planning is to restore as many customers as possible. In this paper, a MAS-based service restoration planner with a Genetic Algorithm (GA) is developed to solve group and zone service restoration problems in power distribution systems. Intelligent software agents embedded inside switches and feeders of a distribution system form distributed MAS. They autonomously co-work in parallel, so that time consumption on service restoration planning is kept into minimum. By transferring de-energized customers to their adjacent supporting distribution feeders, the agents running autonomously and sharing information with each other restore out-of-service loads. The proposed methodology is implemented on a Java Agent Development (JADE) platform. The feasibility of the proposed MAS-based restoration planner is demonstrated by a distribution system.
Key words: Believe-Desire-Intension (BDI) agents, distribution systems, Java Agent Development (JADE), service restoration.