Scrutiny of multifarious particle swarm optimization for finding the optimal size of a PV/wind/battery hybrid system

Renewable Energy

Volumn 80, Issue , 2015, Pages 552-563

  Maleki, Akbar ^a,c   Ameri, Mehran ^b   Keynia, Farshid ^c  

^a UNIVERSITY OF TEHRAN   (Iran)

^b SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

^c GRADUATE UNIVERSITY OF ADVANCED TECHNOLOGY   (Iran)

Author keywords

Hybrid system; Multifarious optimization; Optimum sizing; Particle swarm optimization

Indexed keywords

ALGORITHMS; COST EFFECTIVENESS; COSTS; HYBRID SYSTEMS; METEOROLOGY; OPTIMIZATION; SIMULATED ANNEALING; TABU SEARCH;

ADAPTIVE INERTIA; CONSTRICTION FACTOR; COST EFFECTIVE SYSTEMS; METEOROLOGICAL DATA; OPTIMUM SIZING; PARTICLE SWARM OPTIMIZATION ALGORITHM; REAL-TIME INFORMATION; STANDARD DEVIATION;

PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHM; COST-BENEFIT ANALYSIS; DESIGN; OPTIMIZATION; PHOTOVOLTAIC SYSTEM; RENEWABLE RESOURCE; WIND POWER;

IRAN;

EID: 84924597725     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2015.02.045     Document Type: Article

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