Adaptive multi-variant strategy particle swarm optimization algorithm and its application to the optimal operation of cascade reservoirs

作者：Chen Lihua^*; Mei Yadong; Yang Na

来源：Journal of Hydroelectric Engineering, 2010, 29(2): 139-144.

• Cascade hydropower stations
• Cascade reservoirs
• Hybrid PSO
• Hydroelectric engineering
• Hydropower plants
• Improved PSO
• Multi-stage optimization
• Optimal operation
• Particle swarm optimization algorithm
• PSO algorithms
• Reservoir operation

In this work a mathematical model is established to solve multi-stage optimization problem for the operation of cascade hydropower stations. The particle swarm optimization (PSO) algorithm is of low accuracy, easy to diverge at the early stage, and tends to homoplasy and premature at the later stage. Thus an improved PSO or the adaptive multi-variant stratege PSO algorithm (AMPSO) is proposed. The optimization of cascade hydropowers on the Yalong river is solved separately by PSO, AMPSO, hybrid PSO and convergencefactor PSO. Results show an improvement of AMPSO in convergence and accuracy.

• 出版日期2010
• 单位广西大学