Application and comparison of computational intelligence techniques for optimal location and parameter setting of UPFC

Engineering Applications of Artificial Intelligence

Volumn 23, Issue 2, 2010, Pages 203-216

  Shaheen, H I ^a   Rashed, G I ^b   Cheng, S J ^b  

^a TISHREEN UNIVERSITY   (Syrian Arab Republic)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Contingency analysis; Differential evolution (DE); Genetic algorithm (GA); Particle swarm optimization (PSO); Power flow; Unified power flow controller (UPFC)

Indexed keywords

CONTINGENCY ANALYSIS; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION (DE); POWER FLOWS; UNIFIED POWER FLOW CONTROLLERS;

ARTIFICIAL INTELLIGENCE; CONTROLLERS; ELECTRIC CONTROL EQUIPMENT; ELECTRIC POWER TRANSMISSION; FLOW CONTROL; GENETIC ALGORITHMS; LOCATION; NETWORK SECURITY; POWER CONVERTERS; POWER ELECTRONICS; TRANSIENT ANALYSIS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 75749127741     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2009.12.002     Document Type: Article

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