电力建设2024，Vol.45Issue(2)：137-146,10.DOI:10.12204/j.issn.1000-7229.2024.02.012
基于实时生成定值的高比例新能源电网自适应电流保护
Real-Time Generated Protection Settings Based Adaptive Current Protection for Transmission Line Considering High Proportion of New Energy Source
摘要
Abstract
The power sides of new power systems contain a large proportion of new energy sources.Owing to various types,distributed locations,and nonlinear outputs,the through-current level of the short circuit decreases,and its uncertainty increases when a fault occurs in the power grid,which makes it difficult for traditional current protection to preset and trip.Therefore,an adaptive current protection method based on real-time generated settings using local information is proposed,referring to traditional three-stage current protection.This method considers the actual fault characteristics of new energy sources to generate a preset.First,an equivalent source model is established that can distinguish the different outputs of new energy sources between generators and identify them online to obtain the unchanged parameters before and after the fault.Then,after a fault occurs,the local measured information is used to obtain the changeable parameters.Subsequently,preset values were generated in real-time based on the actual fault scenario and the actual output of new energy sources during the fault.Finally,the trip is decided based on the measured current and the preset value.Continuous identification before a fault occurs can effectively separate generators and new energy sources in the model.Online presetting based on actual fault scenarios and the output of new energy sources can effectively solve the problems of variety,distribution,and nonlinearity.The feasibility and correctness were verified by both analysis and comparison of various cases.关键词
新型电力系统/新能源电源/电流保护/实时定值/等效电源模型Key words
new power system/new energy source/current protection/real-time protection settings/equivalent source model分类
信息技术与安全科学引用本文复制引用
张政伟,陈谦,牛应灏,冯源,朱嘉傲..基于实时生成定值的高比例新能源电网自适应电流保护[J].电力建设,2024,45(2):137-146,10.基金项目
This work is supported by National Natural Science Foundation of China(No.51837004).国家自然科学基金项目(51837004) （No.51837004）
