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低压有源配电网在线故障区间定位与识别方法 被引量:44

On-line Fault Section Location and Classification Technique for Low Voltage Active Distribution Network
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摘要 配电网的故障定位与故障类型识别对配电网故障的全面综合诊断有着重要的作用,有利于故障的小范围隔离与快速检修。分布式电源在配电网低压侧的分散式接入将现有低压配电网变为低压有源配电网,其故障特性的改变给继电保护的协调配合带来了极大的挑战,并导致原有的配电网故障定位与故障类型识别方法不再适用,需要对低压有源配电网内的故障定位与识别方法进行研究。该文提出了一种适用于低压有源配电网的在线故障区间定位与识别方法,该方法仅需电流测量,首先将低压有源配电网划分为多个双端无分支区段,利用各个区段的电流相角差值进行快速的故障区段判定与故障选相;在故障区段内,利用故障相与节点零序电流对故障的具体类型进行快速识别;最后,综合各个区段的故障判别结果可得系统内的故障位置与对应的故障类型。经仿真验证,所提出的方法正确、有效,能够适用于三相平衡或不平衡、并网或孤岛运行、树状或环状结构的低压有源配电网。 Fault location and classification is of great significance in comprehensive fault diagnosis of distribution network, which is helpful for local fault isolation and fast troubleshooting. The distributed connection of distributed generation (DG) in low voltage distribution network turns it to an active one. In low voltage active distribution network (LVADN), the change of fault characteristics brings a lot of trouble to the protection coordination and makes the previous fault location and classification methods inapplicable. To solve this problem, a novel on-line fault section location and classification method only using current measurement for LVADN was proposed in this paper. This method firstly divided the system into several two-terminal sections; secondly, it used the current phase-angle difference of each section for fast fault section judgment and fault phase selection; thirdly, in each fault section, fault phase selection result and the node zero-sequence current was utilized for fast fault classification; finally, the fault location and the corresponding fault type was obtained by collecting the fault discriminant information of all the sections in the system. The correctness and effectiveness of the proposed method has been verified by Matlab/Simulink Simulation, and it can be used in LVADN under various circumstances, such as three-phase balanced or unbalanced, grid-connected or isolated and arborescent or ring structure.
出处 《中国电机工程学报》 EI CSCD 北大核心 2017年第9期2525-2538,共14页 Proceedings of the CSEE
基金 中国科学院知识创新工程重要方向项目(KGCX2-EW-329)~~
关键词 主动配电网 故障定位 故障类型识别 分布式电源 active distribution network fault location fault classification distributed generation (DG)
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