A Day-ahead and Intra-day Collaborative Optimization Operation Strategy for Integrated Photovoltaic and Energy Storage Systems Considering Peak Electricity Price Characteristics

The configuration of energy storage in photovoltaic power stations can reduce the costs associated with solar power curtailment as well as those for tracking and assessment. At the same time, the advantages of energy storage can be utilized to achieve energy transportation and increase the revenue of the power station. In this paper, we propose a multi-time-scale optimization operation strategy that incorporates the peak electricity price characteristics to address the "short-sightedness" problem in intraday rolling scheduling. Firstly, the main influencing factors of the joint operation mode of energy storage systems and photovoltaic power stations, as well as the "short-sightedness" problem, are analyzed. On this basis, a multi-time-scale day-ahead and intra-day optimization scheduling model is established, taking into account the characteristics of peak electricity prices. Finally, based on actual data from a solar energy storage integrated experimental base in Heilongjiang, the model is validated. The results demonstrate that the proposed model can effectively address the "short-sightedness" issue during the rolling stage of the day and increase the operating revenue of the power station.