Using genetic algorithm and TOPSIS technique for multiobjective reactive power compensation

Electric Power Systems Research

Volumn 80, Issue 6, 2010, Pages 675-681

  Azzam, M ^a   Mousa, A A ^b  

^a Minia University   (Egypt)

^b Menoufia University   (Egypt)

Author keywords

Evolutionary algorithms; Multiobjective optimization; Reactive power compensation; TOPSIS

Indexed keywords

COMPROMISE SOLUTIONS; COMPUTING TIME; DECISION MAKERS; FINITE SET; IDEAL POINTS; IDEAL SOLUTIONS; MULTI OBJECTIVE; NEW APPROACHES; NEW SOLUTIONS; NONCONVEX; NONDOMINATED SOLUTIONS; OBJECTIVE FUNCTIONS; PARETO SET; PARETO SOLUTION; PARETO-OPTIMAL; PARETO-OPTIMAL FRONT; REACTIVE POWER COMPENSATION; TEST SYSTEMS;

APPROXIMATION ALGORITHMS; GENETIC ALGORITHMS; PARETO PRINCIPLE; PARTICLE SPECTROMETERS; REACTIVE POWER; SET THEORY;

MULTIOBJECTIVE OPTIMIZATION;

EID: 77649274924     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2009.10.033     Document Type: Article

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