A multi-time-scale joint operation method for renewable energy station, battery energy storage and flexible load under dynamic assessment of power schedule

作者：Minghao Cao, Linlin Yu, Dong Ding, Peng Jia, Wenhao Wang, Yiran Cheng · 发表于：International Journal of Electrical Power & Energy Systems · 年份：2025 · DOI：10.1016/j.ijepes.2025.110642 · 被引用次数：5 · 研究领域：Power Systems and Renewable Energy、Smart Grid Energy Management、Integrated Energy Systems Optimization

• Dynamic assessment indicators for the renewable energy’s power deviation. • Optimization strategy for integrated generation unit under dynamic assessment. • Economic flows in integrated generation unit. In the new power system dominated by renewable energy, the grid flexibility regulation resources are increasingly scarce. Therefore, stricter assessments of the power schedules of renewable energy stations (RES) are required. This approach encourages RES to autonomously use their own battery energy storage systems (BESS) and local flexible loads (LFL) to correct power schedule deviations, thereby reducing the demand for grid flexibility regulation resources from the source. The power distribution of RES on a daily time scale exhibits high volatility, and the accuracy of RES power forecasting is low, leading to fluctuations in the scarcity of the grid flexibility regulation resources at different times. Therefore, the assessment of RES power schedules by the grid should also be dynamic. Traditional RES operation methods struggle to meet the rapidly changing assessment requirements for power schedule deviations. First, this paper establishes a dynamic assessment model for RES power schedules, where the assessment price varies across different time periods and increases with the magnitude of schedule deviations. Then, a joint operation method for RES, co-located BESS, and LFL under the dynamic assessment model is proposed, specifically including the day-ahead generation schedul...