Bidding strategy based on adaptive particle swarm optimization for electricity market

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2010, Pages 3207-3210

  Zhang, Jianhuan ^a   Wang, Yingxin ^a   Wang, Rui ^a   Hou, Guolian ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Bidding strategies; Electricity market; Fuzzy inference; Particle swarm optimization

Indexed keywords

ADAPTIVE PARTICLE SWARM OPTIMIZATIONS; BIDDING BEHAVIOR; BIDDING STRATEGY; CLEARING PRICE; COMPETING GENERATORS; DAY AHEAD MARKET; ELECTRICITY MARKET; GENERATION COMPANIES; INCOMPLETE INFORMATION; MARKET DEMAND; MARKET PARTICIPANTS; NUMERICAL EXAMPLE; OPEN ELECTRICITY MARKETS; OPTIMAL BIDDING STRATEGY; PARTICLE SWARM; PRODUCTION COST; PSO ALGORITHMS; TRADING PERIODS;

COMMERCE; DISTRIBUTION FUNCTIONS; ELECTRIC INDUSTRY; ELECTRIC LOAD FORECASTING; FUZZY INFERENCE; INTELLIGENT CONTROL; NORMAL DISTRIBUTION; PARTICLE SWARM OPTIMIZATION (PSO); PROBABILITY DENSITY FUNCTION; PROFITABILITY;

ELECTRIC GENERATORS;

EID: 77958135630     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2010.5553841     Document Type: Conference Paper

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