Abstract
Taking Hongjiadu hydropower plant as an instance, an algorithm of Simulated Annealing Particle Swarm Optimization (SAPSO) is proposed to optimize the regulation of hydropower plant. Practical application demonstrates that SAPSO solve the regulation problem of hydropower plant well, which is a nonlinear problem with complicated constraints. Compared with Standard Particle Swarm Optimization (SPSO), SAPSO is more efficient and simple and has high precision and convergence velocity.
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