广东电力2025，Vol.38Issue(9)：4-14,11.DOI:10.3969/j.issn.1007-290X.2025.09.001
计及输配协同的短期电压稳定数据驱动评估方法
Data-driven Short-term Voltage Stability Assessment Considering Transmission-distribution System Coordination
摘要
Abstract
High-proportional new energy penetration endows distribution networks with active voltage support through reactive power regulation at the point of common coupling(PCC),enabling coordinated transmission and distribution control.However,new energy fluctuations and intensified transmission and distribution coupling complicate voltage instability dynamics,challenging short-term voltage stability(STVS)assessment.To address this,this paper proposes a data-driven STVS assessment method considering transmission and distribution collaboration.Firstly,different from conventional approaches that simplify distribution networks as uncontrollable equivalent loads,an extended time-domain simulation model incorporating distribution-level active voltage support capability is constructed.This model quantifies voltage support capacity based on the optimization theory and embeds it into time-domain simulation to reflect its influence on voltage stability.Secondly,leveraging the proposed model and historical operational data,a training dataset using system measurement as inputs and stability indices as outputs is constructed,and a convolutional neural network(CNN)is then trained to achieve online STVS assessment.Compared to existing deep learning based STVS evaluation methods,the proposed approach introduces a dimensionality reduction technique for input and output variables based on critical node voltage features,significantly reducing training data requirements while improving computational efficiency.Case studies validate the effectiveness of the proposed method in both STVS assessment and voltage instability severity quantification.关键词
短期电压稳定/数据驱动评估方法/配电网电压支撑能力/卷积神经网络/时域仿真Key words
short-term voltage stability/data-driven assessment/voltage support capability of distribution network/convolution neural network/time-domain simulation分类
信息技术与安全科学引用本文复制引用
李广,阚常涛,鲍冠南,李嫣然,武诚,马锐,胡正阳..计及输配协同的短期电压稳定数据驱动评估方法[J].广东电力,2025,38(9):4-14,11.基金项目
国网山东省电力公司科技项目(52060124000G) （52060124000G）
国家自然科学基金青年项目(52407119) （52407119）
