南方电网技术2025，Vol.19Issue(5)：28-36,48,10.DOI:10.13648/j.cnki.issn1674-0629.2025.05.003
基于智能增强的直流受端系统暂态电压稳定多二元表评估方法
Transient Voltage Stability Evaluating Method with Multi-Binary Tables for DC Receiving-End System Based on Intelligent Enhancement
摘要
Abstract
With the increasing scale of long-distance and large-capacity HVDC transmission,the problem of transient voltage stability of DC receiving-end system is becoming more and more serious.The rapid development of measurement technology and artificial intelligence provides a new idea for solving the transient voltage assessment problem of DC receiving-end system.Therefore,this paper proposes a multi-binary table method based on intelligent enhancement to evaluate the transient voltage of DC system.Firstly,the feature dimension is reduced by extracting the transient time series features of the DC system and using the ReliefF method.Then,the back propagation(BP)neural network is used to perform regression fitting on the transient voltage stability margin index,and the improved particle swarm optimization(PSO)algorithm is used to solve the multi-binary table integral weights.Finally,a voltage collapse model is built and verified by simulation.The results show that the proposed intelligent enhanced multi-binary table transient voltage assessment method has good accuracy and adaptability to the DC receiving-end system,and has the potential for online application.关键词
直流受端系统/暂态电压稳定/时序特征/多二元表法Key words
DC receiving-end system/transient voltage stability/time series characteristics/multi-binary table method分类
动力与电气工程引用本文复制引用
刘洋,朱益华,伍双喜,朱誉,罗超..基于智能增强的直流受端系统暂态电压稳定多二元表评估方法[J].南方电网技术,2025,19(5):28-36,48,10.基金项目
国家重点研发计划资助项目(2021YFB2400905) （2021YFB2400905）
中国南方电网有限责任公司科技项目(GDKJXM20220335).Supported by the National Key Research and Development Program of China(2021YFB2400905) （GDKJXM20220335）
the Science and Technology Project of China Southern Power Grid Co.,Ltd.(GDKJXM20220335). （GDKJXM20220335）
