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Application of an improved PSO algorithm mixed BFO algorithm in optimal scheduling of hydropower station

机译:改进的PSO算法和混合BFO算法在水电站优化调度中的应用

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The optimal scheduling of hydropower station is a constrained strong, nonlinear and multi-stage combinatorial optimization. Aiming at this issue, this paper analyses the shortcomings of previous PSO algorithm in hydropower station optimal scheduling model, and presents an improved PSO algorithm for hybrid BFO algorithm, which overcomes the problem that the PSO algorithm is easy to fall into local extremum and has strong dependence on parameters. A case study of a short-term scheduling period of a hydropower station is used to compare the improved PSO algorithm mixed BFO algorithm with previous PSO algorithm. The results show that the improved PSO algorithm can converge to the global optimal solution more accurately. Therefore, it provides a new method for solving the optimal scheduling model of hydropower station.
机译:水电站的优化调度是受约束的强非线性多阶段组合优化。针对这一问题,本文分析了以前的PSO算法在水电站最优调度模型中的不足,提出了一种改进的混合BFO算法的PSO算法,克服了PSO算法容易陷入局部极值且具有较强的鲁棒性的问题。对参数的依赖。以某水电站短期调度周期为例,对改进后的PSO算法和混合BFO算法与以前的PSO算法进行了比较。结果表明,改进的PSO算法可以更准确地收敛到全局最优解。因此,它为求解水电站优化调度模型提供了一种新方法。

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