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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.
Yang et al. (Wed,) studied this question.