An efficient hybrid big bang-big crunch algorithm for multi-objective reconfiguration of balanced and unbalanced distribution systems in fuzzy framework

Electric Power Components and Systems

Volumn 41, Issue 1, 2013, Pages 75-99

  Sedighizadeh, Mostafa ^a   Ahmadi, Saeedeh ^a   Sarvi, Mohammad ^a  

^a IMAM KHOMEINI INTERNATIONAL UNIVERSITY   (Iran)

Author keywords

big bang big crunch; distribution system reconfiguration; multi objective optimization; mutation; particle swarm optimization

Indexed keywords

BIG BANG-BIG CRUNCH; DISTRIBUTION SYSTEM RECONFIGURATION; DISTRIBUTION SYSTEMS; FAST CONVERGENCE; FITNESS FUNCTIONS; FUZZY FRAMEWORKS; LOCAL OPTIMA; MULTI OBJECTIVE; MULTI OBJECTIVE OPTIMIZATIONS (MOO); MUTATION; MUTATION OPERATORS; OPTIMIZATION ALGORITHMS; OPTIMIZATION PROCESS; REAL POWER LOSS; SATISFACTION FUNCTIONS; SEARCH AREA; UNBALANCED DISTRIBUTION SYSTEMS; VOLTAGE DEVIATIONS;

LOCAL AREA NETWORKS; MULTIOBJECTIVE OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHMS;

EID: 84871314457     PISSN: 15325008     EISSN: 15325016     Source Type: Journal    
DOI: 10.1080/15325008.2012.732658     Document Type: Article

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