电力系统保护与控制2026，Vol.54Issue(7)：57-68,12.DOI:10.19783/j.cnki.pspc.250930
基于数据驱动的可解释性低压台区理论线损率计算方法
Data-driven interpretable method for calculating theoretical line loss rate in low-voltage distribution areas
摘要
Abstract
To address the limitations of existing theoretical line loss rate calculation methods,namely,the low efficiency and difficulty of online application in physics-based models,and the lack of interpretability in data-driven approaches that hinders their engineering deployment,this paper proposes an data-driven interpretable method for calculating theoretical line loss rates in low-voltage distribution areas.First,relevant literature on the physical mechanisms affecting theoretical line loss rate is systematically reviewed,and key influencing features are identified.Second,a calculation model is constructed with the light gradient boosting machine(LightGBM)as its core,and an improved grey wolf optimizer(IGWO)is employed for hyperparameter optimization to enhance model accuracy.Furthermore,the shapley additive explanations(SHAP)method is introduced to quantify the contribution of each feature to the calculated results,thereby revealing whether the model's decision logic aligns with the underlying physical mechanisms of line losses.Finally,case studies based on real-world distribution area datasets demonstrate the effectiveness of the proposed method.关键词
可解释性/理论线损率计算/LightGBM/IGWO/SHAPKey words
interpretability/theoretical line loss rate calculation/LightGBM/IGWO/SHAP引用本文复制引用
蔡延华,张浩博,麦宇豪,孟繁琪,赵卓立,彭显刚..基于数据驱动的可解释性低压台区理论线损率计算方法[J].电力系统保护与控制,2026,54(7):57-68,12.基金项目
This work is supported by the National Natural Science Foundation of China(No.62273104). 国家自然科学基金项目资助(62273104) （No.62273104）
广东电网有限责任公司科技项目资助(GDKJXM20231545) （GDKJXM20231545）
