Evolutionary algorithms for power generation planning with uncertain renewable energy

Energy

Volumn 112, Issue , 2016, Pages 408-419

  Zaman, Forhad ^a   Elsayed, Saber M ^a,b   Ray, Tapabrata ^a   Sarker, Ruhul A ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b ZAGAZIG UNIVERSITY   (Egypt)

Author keywords

Differential evolution; Economic dispatch; Genetic algorithm; Heuristic; Uncertain wind energy; Variable load demand

Indexed keywords

ALGORITHMS; BENCHMARKING; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; OPTIMIZATION; RAMP GENERATORS; RANDOM ERRORS; SCHEDULING; WEATHER FORECASTING; WIND; WIND POWER;

DIFFERENTIAL EVOLUTION; DYNAMIC ECONOMIC DISPATCH; ECONOMIC DISPATCH; HEURISTIC; REAL CODED GENETIC ALGORITHM; SELF-ADAPTIVE DIFFERENTIAL EVOLUTIONS; STATE-OF-THE-ART ALGORITHMS; VARIABLE LOAD DEMANDS;

ELECTRIC LOAD DISPATCHING;

BENCHMARKING; COST ANALYSIS; DEMAND ANALYSIS; ELECTRICITY GENERATION; ENERGY PLANNING; GENETIC ALGORITHM; HEURISTICS; OPERATIONS TECHNOLOGY; RENEWABLE RESOURCE; WIND POWER;

EID: 84976485416     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2016.06.083     Document Type: Article

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