Network Reconfiguration for Distribution System with Distributed Generations

Abstract:

Recently more and more distributed generations(DG) are accessed in distribution system. So we analyze how DG influence the distribution system. In order to make the result of network reconfiguration more closely to the reality, we build a network configuration model for distribution system with DG which contains three load modes, and we bring forth a composite algorithm which contains improved binary particle swarm optimization based on loop circuit and genetic algorithm, and combine with the taboo algorithm to avoid circuitous search. This composite algorithm can not only increase the search speed, but also effectively overcome the precocity. The simulation results show that after the network reconfiguration, the network loss has been greatly reduced, and this verifies the effectiveness of this algorithm.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 3271-3276
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.3271
• Online since: November 2011
• Authors: Hong Jiang Liu, Lin Chuan Li, Xin Chen
• Keywords: Distributed Generation (DG), Genetic Algorithm (GA), Improved Binary Particle Swarm Optimization, Network Reconfiguration, Taboo Algorithm

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