Please use this identifier to cite or link to this item: https://doi.org/10.1109/CEC.2011.5949825
Title: A modified hybrid particle swarm optimization approach for unit commitment
Authors: Yen, L.T.X.
Sharma, D. 
Srinivasan, D. 
Manji, P.N. 
Issue Date: 2011
Source: Yen, L.T.X.,Sharma, D.,Srinivasan, D.,Manji, P.N. (2011). A modified hybrid particle swarm optimization approach for unit commitment. 2011 IEEE Congress of Evolutionary Computation, CEC 2011 : 1738-1745. ScholarBank@NUS Repository. https://doi.org/10.1109/CEC.2011.5949825
Abstract: This paper presents a new solution to thermal unit-commitment (UC) problem based on a modified hybrid particle swarm optimization (MHPSO). Hybrid real and binary PSO is coupled with the proposed heuristic based constraint satisfaction strategy that makes the solutions/particles feasible for PSO. The velocity equation of particle is also modified to prevent particle stagnation. Unit commitment priority is used to enhance the performance of binary PSO. The proposed algorithm is tested for 10, 20, 40 and 60 unit systems and the results are reported for 10 different runs. Statistical results and their comparison show a good performance of MHPSO over other existing optimization methods. © 2011 IEEE.
Source Title: 2011 IEEE Congress of Evolutionary Computation, CEC 2011
URI: http://scholarbank.nus.edu.sg/handle/10635/68883
ISBN: 9781424478347
DOI: 10.1109/CEC.2011.5949825
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