Title :
Application of virus particle swarm optimization algorithm in economic operation of hydropower station
Author :
Ji, Chang-ming ; Xie, Wei ; Yu, Shan ; Zhu, Xin-liang
Author_Institution :
New & Renewable Energy of Beijing Key Lab., North China Electr. Power Univ., Beijing, China
Abstract :
The virus particle swarm optimization algorithm (VPSO), which integrates the virus evolutionary mechanism into the particle swarm algorithm (PSO), is presented in this paper. Host population and virus population are generated during the evolution. The former transmits genetic information between the different generations which is the same as PSO and the latter carries out the infection operation in the same generation through transcription and reverse transcription. VPSO can effectively inhibit the “premature” phenomenon of particle and accelerate the speed of convergence. A case study is adopted to show that the VPSO algorithm can provide a new way to solve the economic operation of power system.
Keywords :
hydroelectric power stations; particle swarm optimisation; genetic information; host population; hydropower station; particle swarm algorithm; virus evolutionary mechanism; virus particle swarm optimization algorithm; virus population; Artificial neural networks; Economics; Genetics; Hydroelectric power generation; Mathematical model; Particle swarm optimization; Power systems; PSO algorithm; economic operation; hydropower station; virus evolutionary;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583091