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分布式配电网中短路越级跳闸故障定位及自愈方法

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分布式电源(Distributed Generation,DG)的大量接入,导致分布式配电网中的电流分布和流动模式发生变化,原有的配电保护装置反应变慢,使得短路越级跳闸问题的检测难度增加.因此,提出分布式配电网短路越级跳闸故障检测及自愈方法.分析不同类型和容量的DG、不同的接入点以及DG对配电网自动装置的影响;明确短路故障导致的越级跳闸问题的检测特征.基于电流差动原则和故障电流幅值比较原则,及时定位故障区域.采用短路速断闭锁技术快速响应故障,对短路故障区段进行粗定位,并将其闭锁;并对粗定位故障区段进行精准定位和隔离控制,使非故障区段的断路器合闸,恢复电力供应,以实现配电网的自愈.实验结果表明,所提方法能够防止配电网短路越级跳闸,且故障自愈的耗时短.
Fault Location and Self healing Method for Short Circuit Skipping Tripping in Distributed Distribution Networks
The extensive integration of Distributed Generation(DG)has led to changes in current distribution and flow patterns in the distributed distribution network,resulting in slower response of existing distribution protection devices and increased difficulty in detecting short circuit bypass tripping issues.Therefore,a fault detection and self-healing method for short-circuit skip tripping in distributed distribution networks is proposed.Analyze the impact of different types and capacities of DGs,different access points,and DGs on distribution network automation devices;Clarify the detection characteristics of skip tripping issues caused by short circuit faults.Based on the principles of current differential and fault current amplitude comparison,timely locate the fault area.Using short circuit quick break locking technology to quickly respond to faults,roughly locate the short circuit fault section and lock it;And pre-cise positioning and isolation control are carried out on the coarse fault section to close the circuit breakers in the non fault section,re-store power supply,and achieve self-healing of the distribution network.The experimental results show that the proposed method can prevent the distribution network from tripping due to short circuits,and the time required for fault self-healing is short.

distributed distribution networkanti short circuit skip trippingfault self-healing technologyshort circuit quick break locking

汝石、李双超、孙杰、国际平

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国网齐齐哈尔供电公司,黑龙江 齐齐哈尔 161005

国网黑龙江省电力有限公司,哈尔滨 150001

北京国力电气科技有限公司,北京 100070

分布式配电网 防短路越级跳闸 故障自愈技术 短路速断闭锁

国家电网公司黑龙江省电力有限公司2023年第一批科技项目

522413230005

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(8)