A New Hybrid Evolutionary Algorithm for Reliable Multi-Objective Distribution Feeder Reconfiguration
Publish place: Fifth Conference on Knowledge Engineering and Innovation
Publish Year: 1397
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
KBEI05_029
تاریخ نمایه سازی: 27 بهمن 1398
Abstract:
Reducing electricity losses is the main objective indistribution feeder reconfiguration (DFR) problem.Distribution feeder reconfiguration is an optimization problemin power system which is performed through changingswitching state. In this study, distribution feederreconfiguration is optimized in the presence of distributedgenerators (DGs). In common DFR problems, reliabilityconstraint is not satisfied and power losses or voltage deviationof buses is selected as the objective function. In this study,multi-objective problem is considered as a combination ofreliability index, power losses and operation cost. By addingreliability index, the problem becomes more complex andrequires an accurate method for solving multi-objectiveoptimization problem. For this purpose, in this paper proposeda new hybrid evolutionary algorithm for solving the DFRproblem. The proposed hybrid evolutionary algorithm is thecombination of Particle Swarm Optimization (PSO) andModified Shuffled Frog Leaping Algorithm (MSFLA,) called(PSO-MSFLA). In order to investigate efficiency of theproposed method, 70-bus test system is tested and the resultsare compared with SFLA and PSO algorithms.
Keywords:
distribution feeder reconfiguration (DFR) , distributed generators (DGs) , Improved particle swarm optimization (IPSO) , multi-objective optimization , Energy not supplied (ENS)
Authors
Sina Hosseini Lotfi
Saqravanian and Mohammad Borhan Department of Electrical Engineering Islamic Azad University Neyshabour, Iran
Reza Ghazi
Department of Electrical Engineering Ferdowsi University of Mashhad Mashhad, Iran
Mohammad Bagher Naghibi Sistani
Department of Electrical Engineering Ferdowsi University of Mashhad Mashhad, Iran