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Application of improved PSO algorithm to hydropower station optimal operation

机译:改进的粒子群优化算法在水电站优化调度中的应用

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The long term optimal operation of hydropower stations involves non-linear optimization with high dimensionality. An improved particle swarm optimization is presented in this article to solve the problem. The capacity of solving nonlinear problems is enhanced effectively through adjusting inertia factor dynamically in the algorithm of particle swarm optimization. In order to test the performance of the algorithm, it is applied to solve the long term optimal operation of hydropower station. The results showed that this algorithm is feasible for the problems of complex non-linear systems with rapid speed of convergence and superior precision.
机译:水电站的长期最佳运行涉及高维非线性优化。本文提出了一种改进的粒子群算法来解决该问题。在粒子群优化算法中,通过动态调整惯性因子,有效地提高了解决非线性问题的能力。为了测试该算法的性能,将其应用于解决水电站的长期优化运行。结果表明,该算法对于收敛速度快,精度高的复杂非线性系统是可行的。

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