A hybrid particle swarm optimization-genetic algorithm for optimal location of SVC devices in power system planning

Proceedings of the Universities Power Engineering Conference

Volumn , Issue , 2007, Pages 1175-1181

  Mohammadi, Amir ^a   Jazaeri, Mostafa ^b,c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b SEMNAN UNIVERSITY   (Iran)

^c Semnan Univ

Author keywords

GA; Hybrid PSO GA; PSO; SVC placement

Indexed keywords

GA; GA ALGORITHMS; GA OPERATORS; GLOBAL OPTIMUM; GLOBAL SEARCHES; HYBRID PARTICLE SWARM OPTIMIZATIONS; HYBRID PSO-GA; INITIAL POPULATIONS; INITIAL STAGES; OPTIMAL LOCATIONS; PARTICLE-SWARM OPTIMIZATIONS; POWER SYSTEM PLANNING; PSO; SEARCH PROCESS; SVC PLACEMENT; TEST SYSTEMS;

ELECTRIC NETWORK TOPOLOGY; GENETIC ALGORITHMS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 51849164189     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UPEC.2007.4469118     Document Type: Conference Paper

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