Parameter analysis of wolf pack search algorithm applied to optimal operation of hydropower station
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Abstract:
Using the single factor analysis method, we analyzed and evaluated the influence of each parameter of wolf pack search algorithm on the optimization effects of the optimal operation model for hydropower stations, and obtained the effective value range of the parameters. The orthogonal test and range analysis method were used to comprehensively analyze the susceptibility of multiple parameters of wolf pack search algorithm, and to obtain the sensitivity rankings and optimal value combination of the parameters. Simulation results in the cases showed that the effective value range and optimal value combination of the parameters have a positive effect on the optimization performance of the proposed algorithm, and can provide basis for parameter selection for the wolf pack search algorithm applied to optimal operation of hydropower station.
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