电力信息与通信技术2024，Vol.22Issue(5)：1-9,9.DOI:10.16543/j.2095-641x.electric.power.ict.2024.05.01
可解释机器学习在电网调控领域中的应用
Application of Interpretable Machine Learning in Power Grid Dispatching and Control
摘要
Abstract
Data driven machine learning is the core technology of the new generation of artificial intelligence.Although this technology has achieved significant results in the field of power grid dispatching and control,its poor interpretability hinders its practical engineering application in the field of power grid dispatching and control,which requires extremely high safety and reliability.Therefore,improving the interpretability of machine learning technology in the field of power grid dispatching and control is crucial for enhancing its practicality.Firstly,from the perspective of power grid dispatch operators,the definition,objectives,and significance of machine learning interpretability are analyzed.Then,the process of applying machine learning considering interpretability in the field of power grid dispatching and control is proposed,and typical machine learning interpretation techniques and their applications in power system prediction and stability assessment scenarios are introduced.The feasibility of applying this technology in the field of power grid dispatching and control is verified through practical cases.Finally,an analysis and outlook are conducted on the challenges faced by machine learning interpretable technologies in the field of power grid dispatching and control.Through this study,ideas and references are provided to solve the inexplicable problem of machine learning applications in the field of power grid dispatching and control,further promoting the practical engineering application of machine learning technology in this field.关键词
人工智能/机器学习/电网调度运行/可解释机器学习/数据驱动方法/负荷预测/电力系统稳定评估Key words
artificial intelligence/machine learning/power grid dispatching and control/interpretable machine learning/data driven method/load forecasting/power system stability assessment分类
信息技术与安全科学引用本文复制引用
庞传军,王珅,余建明..可解释机器学习在电网调控领域中的应用[J].电力信息与通信技术,2024,22(5):1-9,9.基金项目
国家电网有限公司总部科技项目资助"多维指标驱动的大电网运行控制辅助决策关键技术研究"(5108-202218280A-2-277-XG). （5108-202218280A-2-277-XG）
