中国电机工程学报2025，Vol.45Issue(22)：8691-8705,中插2,16.DOI:10.13334/j.0258-8013.pcsee.241838
知识-数据融合驱动的配电网光伏逆变器电压/无功优化自适应控制
Hybrid Knowledge-data Driven Adaptive Voltage/Var Optimization Control of Photovoltaic Inverters in Distribution Networks
摘要
Abstract
The stochastic fluctuation of high-penetration distributed photovoltaic(PV)in distribution networks leads to complex power flow states,exacerbating the frequent voltage violation frequency and network losses.To overcome the issues,this paper proposes a hybrid knowledge-data driven adaptive voltage/var control strategy optimization of PV inverters in distribution networks to achieve efficient voltage control by combining domain knowledge and data-driven learning.First,through historical/forecasted power data of PV and loads,power flow and optimal power flow are both calculated to construct the knowledgeable dataset of PV voltage control.Then,an intelligent PV voltage controller based on fuzzy control theory is designed and the inference knowledge from PV voltage and PV active power to PV Var decision is embedded into the controller.Next,on the basis of the constructed dataset,a data-driven gradient descent algorithm is presented to optimize the parameters of PV voltage controller,so that the accurate map from PV voltage and active power states to the optimal Var decision can be realized to improve the global control performance.Finally,an online decentralized automatic strategy is developed with the optimized PV controllers,which considers both voltage violation control and network loss optimization,and performs adaptive PV Var control responding to operating states.Different control methods are compared by simulations,which verifies the effectiveness and superiority of the method proposed in this paper.关键词
配电网/电压越限控制/网损优化/知识-数据融合驱动/PV电压控制器Key words
distribution network/voltage violation control/network losses optimization/hybrid knowledge-data driven/PV voltage controller分类
信息技术与安全科学引用本文复制引用
YANG Hao,WANG Jiayi,YI Wenfei,SUN Zhenglong,CAI Guowei,DING Zhaohao..知识-数据融合驱动的配电网光伏逆变器电压/无功优化自适应控制[J].中国电机工程学报,2025,45(22):8691-8705,中插2,16.基金项目
吉林省自然科学基金项目(20240101108JC) （20240101108JC）
吉林市杰出青年人才项目(20240103025) （20240103025）
国家重点研发计划项目(2021YFB2400800). Project Supported by Natural Science Foundation of Jilin Province(20240101108JC) （2021YFB2400800）
Jilin City Distinguished Young Scholars(20240103025) （20240103025）
National Key R&D Program of China(2021YFB2400800). （2021YFB2400800）
