Evolutionary tristate PSO for strategic bidding of pumped-storage hydroelectric plant

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 40, Issue 4, 2010, Pages 460-471

  Kanakasabapathy, P ^a   Swarup, K Shanti ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

Bidding strategy; day ahead market; evolutionary tristate particle swarm optimization (ETPSO); pumped storage; self scheduling

Indexed keywords

BIDDING STRATEGY; CODING TECHNIQUES; CONVERGENCE BEHAVIORS; DAY AHEAD MARKET; DAY-AHEAD ELECTRICITY MARKET; EXPECTED PROFITS; FASTER CONVERGENCE; HYDROELECTRIC PLANT; MARKET CLEARING PRICE; MUTATION OPERATIONS; NONSPINNING RESERVE; OPERATING CONSTRAINTS; OPERATING CYCLE; OPTIMAL SOLUTIONS; PUMPED STORAGE PLANTS; SELF-SCHEDULE; SELF-SCHEDULING; SIMULATION RESULT; STORAGE PLANTS; STRATEGIC BIDDING;

COMMERCE; ELECTRIC LOAD FORECASTING; PROFITABILITY; SCHEDULING; THREE DIMENSIONAL;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77953705445     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2010.2041229     Document Type: Article

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