Title :
A modified particle swarm optimization algorithm and its application in optimal power flow problem
Author :
Wang, Cui-Ru ; Yuan, He-Jin ; Huang, Zhi-Qiang ; Zhang, Jiang-Wei ; Sun, Chen-Jun
Author_Institution :
Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding, China
Abstract :
A modified particle swarm optimization (MPSO) algorithm is presented. In the new algorithm, particles not only studies from itself and the best one but also from other individuals. By this enhanced study behavior, the opportunity to find the global optimum is increased and the influence of the initial position of the particles is decreased At last, the method adopting MPSO algorithm to solve the optimal power flow problem is given. The numeric simulation for a 5-bus system shows that this algorithm is feasible to solve optimal power flow problem.
Keywords :
load flow; particle swarm optimisation; power engineering computing; 5-bus system; modified particle swarm optimization; optimal power flow problem; Application software; Computational modeling; Computer science; Evolutionary computation; Load flow; Machine learning; Numerical simulation; Optimization methods; Particle swarm optimization; Sun; Particle swarm optimization; modified particle swarm optimization; optimal power flow problem;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527435
