电测与仪表2026，Vol.63Issue(6)：31-40,10.DOI:10.19753／j.issn1001-1390.2026.06.004
基于混合机器学习的新型电力系统电力电量平衡风险评估方法
Risk assessment method for power and energy balance of novel power system baseon integrating machine learning
摘要
Abstract
To address the impact of extreme situations on the power and energy balance of the novel power system,a risk assessment method for power and energy balance of the novel power system based on integrating machine learning is proposed.An operation model of the novel power system is established,which includes the output model of new energy sources,the energy storage model,the generator set and the power flow model of transmission lines.Considering extreme situations mainly dominated by extreme weather,the extreme weather scenarios are defined,and the power and energy imbalance indicators of the novel power system under extreme situations are proposed.Anintegrating machine learning optimization(ILO)method is proposed to solve the power and energy imbalance.The two-stage ILO method includes an imitative learning(IL)stage for accurate strategy initialization and a rein-forcement learning(RL)stage for efficient fine-tuning.The simulation results based on the PJM5-bus system and the improved IEEE118-bus system show that the proposed method can quantitatively define the power and energy imbalance,and improve the efficiency and stability of the risk assessment of power and energy balance.关键词
新型电力系统/电力电量平衡/风险评估/混合机器学习Key words
novel power system/power and energy balance/risk assessment/integrating machine learning分类
信息技术与安全科学引用本文复制引用
张琳娜,李强,荆永明,梁燕,刘红丽,王凯凯,乐健..基于混合机器学习的新型电力系统电力电量平衡风险评估方法[J].电测与仪表,2026,63(6):31-40,10.基金项目
国网山西省电力有限公司科技项目(52053324000B) （52053324000B）
