Load flexible control method for wind and solar energy storage power plant considering the power side demand

Yinghan Luo, Jincai Wu and Yanhong Ma

International Journal of Global Energy Issues, 2024, vol. 46, issue 6, 665-677

Abstract: In order to improve the accuracy of load flexible control and shorten the control time, a load flexible control method for wind and solar energy storage power plant considering the demand of the power side is proposed. Firstly, the data on the power side is cleaned and normalised according to the clustering results of Euclidean distance. Secondly, the normalised power side data is input into the support vector machine classification to complete the calculation of power side demand. Finally, the expected control quantity of wind turbine generator set is taken as the objective function of load flexible control, and the objective function is solved by particle swarm optimisation algorithm to complete the load flexible control of wind turbine storage power plant. The experimental results show that this method can improve the control accuracy, the maximum accuracy reaches 96%, and the maximum time consuming control does not exceed 3 minutes.

Keywords: demand of the power side; wind and solar energy storage power plant; load flexible control; support vector machines. (search for similar items in EconPapers)
Date: 2024
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