A stochastic model for the optimal operation of a wind-thermal power system

IEEE Transactions on Power Systems

Volumn 24, Issue 2, 2009, Pages 940-950

  Swaroop, Pappala Venkata ^a   Erlich, Istvan ^a   Rohrig, Kurt ^b   Dobschinski, Jan ^b  

^a UNIVERSITY OF DUISBURG ESSEN   (Germany)

^b Institut für Solare Energieversorgungstechnik e V ISET   (Germany)

Author keywords

Artificial neural network; Particle swarm optimization; Scenario tree; Stochastic programming; Unit commitment

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COST MODELS; DETERMINISTIC MODELS; INTEGRATED POWER SYSTEMS; NEW PARAMETERS; NUMERICAL RESULTS; OPTIMAL OPERATION; OPTIMAL SCHEDULING; POWER SYSTEM OPERATORS; POWER SYSTEM PLANNING; REDUCTION ALGORITHMS; SCENARIO GENERATION; SCENARIO TREE; SELF-ADAPTIVE; SOLUTION METHODOLOGY; SOLUTION TECHNIQUES; THERMAL POWER SYSTEM; UNIT COMMITMENT; UNIT COMMITMENT PROBLEM; UNIT COMMITMENTS; WIND GENERATION;

ADAPTIVE ALGORITHMS; BACKPROPAGATION; DECISION TREES; ELECTRIC POWER TRANSMISSION NETWORKS; NEURAL NETWORKS; POWER TRANSMISSION; RANDOM PROCESSES; RISK PERCEPTION; STOCHASTIC CONTROL SYSTEMS; STOCHASTIC MODELS; STOCHASTIC PROGRAMMING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 67349201354     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2009.2016504     Document Type: Article

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