Research of Distribution Network Reconfiguration Based on SFLGA

Abstract:

The article studies on the application of the shuffled frog leaping algorithm (SFLA) in power distribution network reconfiguration, taking the minimum loss and voltage quality of distribution network as a multi-objective function. The article improves the initial solution generation strategy of traditional genetic algorithm, which ensures the initial solution is feasible solution. Shuffled frog leaping algorithm and genetic algorithms are combined and proposed as shuffled frog leaping genetic algorithm (SFLGA). The algorithm uses the efficient coding strategy based on the basic loop and initial solution generation strategy, improves the calculation efficiency. The algorithm is verified by simulation results from test case on IEEE 33-bus system with distributed generations.

• Periodical: Advanced Materials Research (Volumes 960-961)
• Pages: 1058-1061
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.960-961.1058
• Online since: June 2014
• Authors: Kai Feng Zhu*, Xue Wang, Gui Hua Cai
• Keywords: Distribution Network Reconfiguration, Genetic Algorithm (GA), Multi-Objective Optimization (MOP), SFLA

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