MOPSO based day-ahead optimal self-scheduling of generators under electricity price forecast uncertainty

2009 IEEE Power and Energy Society General Meeting, PES '09

Volumn , Issue , 2009, Pages

  Pindoriya, N M ^a   Singh, S N ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

Day ahead self scheduling; Hybrid PSO; LMP forecast; Multi objective particle swarm optimization (MOPSO)

Indexed keywords

COMPETITIVE ELECTRICITY MARKETS; DAY-AHEAD ELECTRICITY MARKET; ELECTRICITY PRICES; EXPECTED PROFITS; HYBRID PSO; META-HEURISTIC TECHNIQUES; MIXED-INTEGER NONLINEAR OPTIMIZATION PROBLEMS; MULTI OBJECTIVE PARTICLE SWARM OPTIMIZATION; OPERATIONAL CONSTRAINTS; PARETO OPTIMAL SOLUTIONS; POWER PRODUCER; PRICE FORECASTS; SELF-SCHEDULING; THERMAL POWER;

COMMERCE; ELECTRIC GENERATORS; HEURISTIC METHODS; INTEGER PROGRAMMING; MULTIOBJECTIVE OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); PROFITABILITY; SCHEDULING;

ELECTRIC LOAD FORECASTING;

EID: 77649330638     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PES.2009.5275814     Document Type: Conference Paper

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