Genetic algorithm based simulated annealing method for solving unit commitment problem in utility system

2010 IEEE PES Transmission and Distribution Conference and Exposition: Smart Solutions for a Changing World

Volumn , Issue , 2010, Pages

  Rajan, C Christober Asir ^a  

^a PONDICHERRY ENGINEERING COLLEGE   (India)

Author keywords

Dynamic programming; Genetic Algorithm; Legrangian relaxation; Tabu search; Unit commitment

Indexed keywords

BIOLOGICAL EVOLUTION; BUS UTILITY; COMPUTATION TIME; CONVENTIONAL METHODS; COST SOLUTIONS; GENERATING UNIT; GENERATION SCHEDULING; GENETIC RECOMBINATIONS; INITIAL POPULATION; LEGRANGIAN RELAXATION; NUMERICAL RESULTS; OPTIMIZATION TECHNIQUES; POWER SYSTEMS; SIMULATED ANNEALING METHOD; UNIT COMMITMENT; UNIT COMMITMENT PROBLEM; UNIT COMMITMENTS; UTILITY SYSTEMS;

DYNAMIC PROGRAMMING; NUMERICAL ANALYSIS; NUMERICAL METHODS; SIMULATED ANNEALING; TABU SEARCH;

GENETIC ALGORITHMS;

EID: 77954771685     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TDC.2010.5484351     Document Type: Conference Paper

References (14)

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