电力系统及其自动化学报2023，Vol.35Issue(12)：80-88,9.DOI:10.19635/j.cnki.csu-epsa.001198
数据-物理融合驱动的有源配电网自适应电压控制
Data-physical Hybrid-driven Adaptive Voltage Control of Active Distribution Network
摘要
Abstract
The integration of high-proportion distributed generators complicates the operation states of distribution net-work while making the accurate physical parameters inaccessible.To solve this problem,a data-physical hybrid-driven adaptive voltage control method for active distribution network(ADN)is proposed in this paper.First,the framework for data-physical hybrid-driven adaptive voltage control of ADN is built.Then,a data-driven model is established for the voltage control problem of ADN.Moreover,the limitation of the data-driven control is considered,and the data-driv-en model is amended by the inadequate physical model.Finally,the analysis and verification are conducted based on a modified IEEE 33-node distribution network,and results show that the proposed data-physical hybrid-driven control strategy can effectively suppress the frequent voltage out-of-limits in ADN,thereby improving the adaptive optimization control level of distribution network.关键词
有源配电网/分布式电源/数据驱动/自适应电压控制/数据-物理融合驱动Key words
active distribution network(ADN)/distributed generator/data-driven/adaptive voltage control/data-physical hybrid-driven分类
信息技术与安全科学引用本文复制引用
冯歆尧,彭泽武,陈强,陈禹旭,谢瀚阳,梁盈威..数据-物理融合驱动的有源配电网自适应电压控制[J].电力系统及其自动化学报,2023,35(12):80-88,9.基金项目
广东电网有限责任公司科技项目(037800KK52200006) （037800KK52200006）
