About A multiagent design for self-healing in electric power distribution systems
The out-of-service area after fault should berestored by changing the distribution system configuration by means of switching actions on the feeders. This paper proposes an agent-based approach for service r.
••A novel hybrid multi agent - neural network system for implementing.
AbbreviationsANN Artificial neural network BDI Believe-desire-intension BFA Backup feeder agent CC Central controller DGA Dg agent EDLC .
The introduction of distributed generation (DG) brings fundamental and fast changes to power systems. The purpose of incorporating renewable energy such as photovoltai.
In this paper, the self-healing problem in a smart distribution network is modeled as a multiobjective problem. The objectives of restoration can be maximizing of restored load and/o.
The main goal of self-healing in this paper is to increase reliability of distribution system, minimize out-of-service area after a fault by using distributed control approache.
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