Unit commitment strategy of thermal generators by using advanced fuzzy controlled binary particle swarm optimization algorithm

International Journal of Electrical Power and Energy Systems

Volumn 43, Issue 1, 2012, Pages 1072-1080

  Chakraborty, Shantanu ^a   Ito, Takayuki ^a   Senjyu, Tomonobu ^b   Saber, Ahmed Yousuf ^c  

^a NAGOYA INSTITUTE OF TECHNOLOGY   (Japan)

^b UNIVERSITY OF THE RYUKYUS   (Japan)

^c ETAP   (United States)

Author keywords

Economic load dispatch; Fuzzy logic; Particle swarm optimization; Unit commitment

Indexed keywords

BEST POSITION; BINARY PARTICLE SWARM OPTIMIZATION; COMBINATORIAL OPTIMIZATION PROBLEMS; COMMITMENT STRATEGY; ECONOMIC LOAD DISPATCH; FITNESS VALUES; FUZZY MEMBERSHIP FUNCTION; GENERATION SCHEDULING; GLOBAL CONVERGENCE; LOAD DEMAND; LOCAL TRAPPING; MULTI POPULATION; MUTATION OPERATORS; POWER SYSTEM CONFIGURATION; SEARCH SPACES; SHORT TERM; SPINNING RESERVES; THERMAL GENERATION; THERMAL GENERATORS; TOTAL PRODUCTION COST; UNIT COMMITMENT;

ALGORITHMS; COMBINATORIAL OPTIMIZATION; FUZZY LOGIC; MEMBERSHIP FUNCTIONS; SCHEDULING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84863752816     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2012.06.014     Document Type: Article

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