A multi-objective genetic algorithm approach to optimal allocation of multi-type FACTS devices for power systems security

2006 IEEE Power Engineering Society General Meeting, PES

Volumn , Issue , 2006, Pages

  Radu, D ^b   Besanger Y ^a,b  

^a IEEE   (France)

^b CNRS   (France)

Author keywords

FACTS devices; Multi objective genetic algorithms; Optimal location; Pareto frontier

Indexed keywords

COST EFFECTIVENESS; DECISION MAKING; GENETIC ALGORITHMS; OPTIMIZATION; POWER TRANSMISSION; PROBLEM SOLVING;

FACTS DEVICES; HYBRID SOFTWARE; OPTIMAL LOCATION; PARETO FRONTIER;

ELECTRIC POWER SYSTEMS;

EID: 35348860805     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/pes.2006.1709202     Document Type: Conference Paper

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