Renewable energy sources have become more accessible, and electricity demand has diversified, posing more complex operational challenges for distribution grids. This study aims to explore the strategy for applying flexible load and energy storage co-dispatching in optimizing the operation of distribution networks. A mathematical model is developed, incorporating load characteristics, energy storage equipment performance, and the operational status of the power grid. Subsequently, a cooperative scheduling approach based on multi-objective optimization is proposed. This approach utilizes the flexibility of loads and the time-shifting ability of energy storage to effectively address the supply-demand imbalance in the power grid and enhance the consumption of renewable energy. Experimental results reveal that, under a typical daily load curve, implementing the proposed strategy reduces the distribution network’s peak load by 15%, boosts the utilization rate of renewable energy by 20%, and decreases the system operating cost by 10%. The study validates the method’s adaptability and robustness across various scenarios through simulation analysis, providing theoretical and practical guidance for the intelligent and efficient operation of distribution networks.
Cheng et al. (Mon,) studied this question.
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