A New Hybrid Evolutionary Algorithm for Reliable Multi-Objective Distribution Feeder Reconfiguration

سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 437

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شناسه ملی سند علمی:

KBEI05_029

تاریخ نمایه سازی: 27 بهمن 1398

چکیده مقاله:

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.

کلیدواژه ها:

distribution feeder reconfiguration (DFR) ، distributed generators (DGs) ، Improved particle swarm optimization (IPSO) ، multi-objective optimization ، Energy not supplied (ENS)

نویسندگان

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