兼顾经济效益与寿命损失的含储能配电网多时间尺度协调调度OA北大核心CSTPCD

As a high-quality,fast-regulating resource,electric energy storage plays a critical role in key scenarios such as system peak shaving and frequency regulation.However,it still faces challenges such as high degradation rates,high costs for large-scale applications,and uncertain economic benefits.To address these issues,this study explores the economic-life characteristics of energy storage systems and proposes a multi-timescale optimal dispatch method for active distribution networks,considering the impact of energy storage system cycle life.First,the correlation between the cycle life of energy storage systems and the depth of charge/discharge is evaluated,and a refined operation model is developed to balance life loss and economic benefits under deep charge/discharge scenarios,aiming to optimize the flexible regulation potential of energy storage systems.Second,by integrating model predictive control,a multi-timescale optimal dispatch framework is proposed for active distribution networks.This framework considers operational benefits and life loss,ensuring efficient use of energy storage capacity in critical scenarios like peak shaving.This framework establishes an operational strategy considering the impact of deep charge/discharge of energy storage systems during the intraday stage and coordinates heterogeneous response characteristics across different timescales,and during real-time operations,feedback corrections are made based on ultra-short-term forecasting information.This enables real-time adjustments of rapidly responsive resources,such as energy storage systems,to track fluctuations in renewable energy generation effectively.A case study verified that the proposed method significantly enhances the efficiency of energy storage utilization in peak shaving and improves the economic efficiency and reliability of distribution systems with energy storage.