Application of chaos particle swarm optimization algorithm to mid-long term optimal operation of hydropower station

This paper proposes a mixed algorithm based on the chaos-optimization algorithm and the particle swarm optimization algorithm to optimize the mid-long-term reservoir operation. The proposed algorithm improves the convergence by taking advantages of the two traditional algorithms, and can avoid the shortcoming of being easily trapped in a local extremum at the later evolution stage while maintain a rapid rate at the initial stage. Test cases indicate a better performance of the new algorithm than PSO in terms of convergence and stability.