中南大学学报（自然科学版）2026，Vol.57Issue(7)：2992-3003,12.DOI:10.11817/j.issn.1672-7207.2026.07.010
面向充电场站负荷波动的配电网主动运维方法
Proactive distribution network operation and maintenance method for load fluctuations of EV charging stations
摘要
Abstract
Ultra-fast charging stations and other high-power,highly volatile loads in distribution networks can easily impose risks such as power shocks and severe overloading on distribution transformers,thereby weakening the efficiency of distribution network operation and maintenance(O&M).To address this issue,a prediction-driven active O&M method for distribution networks based on TBG-Net(transformer bi-dPGRU and lightGBM network)was proposed.Firstly,for the high-fluctuation load scenario of charging stations,a multi-expert collaborative forecasting structure composed of trend forecasting,differential mutation modeling and statistical compensation was constructed.Combined with a ramp-aware gating mechanism,the proposed structure enables adaptive fusion between steady operating conditions and power mutation intervals.Secondly,the load forecasting results were embedded into the distribution O&M analysis process.By dynamically comparing the forecasted load with transformer capacity constraints,overload risk warning and active O&M support were realized at the station or distribution-transformer level,and it was validated based on measured data from a charging station in a city in Hubei Province.The results show that,compared with advanced load forecasting methods,the proposed method improves the root mean square error and mean absolute error by approximately 45％,while the coefficient of determination increases by about 0.40.The proposed method also significantly outperforms the benchmark models in different load ramping intensity scenarios,which effectively support peak-shaving control and improve the operational safety margin of distribution equipment.关键词
配电网运维/主动运维/短期负荷预测/充电场站/爬坡感知Key words
distribution network operation and maintenance/active operation and maintenance/short-term load forecasting/charging station/ramp awareness分类
管理科学引用本文复制引用
徐广达,马原,刘佳林,宗瑾,龙飞,廖雨婳,邱伟,姚文轩..面向充电场站负荷波动的配电网主动运维方法[J].中南大学学报（自然科学版）,2026,57(7):2992-3003,12.基金项目
国家自然科学基金青年项目(52307093) （52307093）
国网冀北电力有限公司科技项目(B3018K24005W)(Project(52307093)supported by the Young Scientists Founds of the National Natural Science Foundation of China （B3018K24005W）
Project(B3018K24005W)supported by the State Grid Jibei Electric Power Company Science and Technology Project) （B3018K24005W）
