Multiobjective scheduling method for pumped storage power plants considering the volatility of renewable energy

Yang Yang; Guang Tian; Xiaona Han

doi:10.1117/12.3039683

28 August 2024 Multiobjective scheduling method for pumped storage power plants considering the volatility of renewable energy

Yang Yang, Guang Tian, Xiaona Han

Author Affiliations +

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132512H (2024) https://doi.org/10.1117/12.3039683
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

In order to effectively utilize energy storage characteristics, balance energy fluctuations and supply and demand of renewable energy, optimize economic and environmental benefits, and promote sustainable development of energy systems. This article proposes a multi-objective dispatching method for pumped storage power stations that considers the volatility of renewable energy. Based on the analysis of the volatility of renewable energy, the objective function is defined as the minimum remaining load and the peak-valley difference, and an energy dispatching model is constructed. The flower pollination algorithm is used to solve the multi-objective scheduling model by obtaining the optimal fitness function value, and the multi-objective scheduling of pumped storage power station is completed. Experimental results show that the average remaining load and peak-valley difference of this method are both low.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yang Yang, Guang Tian, and Xiaona Han "Multiobjective scheduling method for pumped storage power plants considering the volatility of renewable energy", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132512H (28 August 2024); https://doi.org/10.1117/12.3039683

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