引用本文: | 刘 健,王浦任,张志华.用于限流控制的瞬时值与变化率结合的故障电流快速识别改进算法[J].电力系统保护与控制,2020,48(19):57-64.[点击复制] |
LIU Jian,WANG Puren,ZHANG Zhihua.Improved fast fault detection algorithm on instantaneous currentand its variation for current limitation control[J].Power System Protection and Control,2020,48(19):57-64[点击复制] |
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摘要: |
为了使故障判别的速度满足限流控制的应用要求,针对瞬时值与变化率结合的故障电流快速识别基本算法,提出一种对瞬时值与变化率整定值分别加乘系数的改进算法。利用数值仿真的方法分析了故障相角、大负荷投入、谐波等因素的影响,给出改进方法调整系数的选取方法。对改进算法在某企业限流控制的应用进行了实例分析,给出其调整系数的取值范围以及其性能改善的效果,证明了其可行性和有效性。结果表明,改进算法能够确保在期望的时间内识别出期望识别的故障电流,各种故障相角、大负荷投入、谐波等都不会造成误判别。 |
关键词: 配电网 故障 快速故障识别 整定 快速开关 |
DOI:DOI:10.19783/j.cnki.pspc.191412 |
投稿时间:2019-11-12修订日期:2020-02-20 |
基金项目:国家自然科学基金项目资助“城市智能配电网保护与自愈控制关键技术”(U1766208) |
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Improved fast fault detection algorithm on instantaneous currentand its variation for current limitation control |
LIU Jian,WANG Puren,ZHANG Zhihua |
(1. State Grid Shaanxi Electric Power Research Institute, Xi'an 710100, China;
2. School of Automation, Xi'an University of Technology, Xi'an 710048, China) |
Abstract: |
To enable fault detection speed to meet the requirement of short-circuit current limitation control, an improved approach introducing multiple parameters is proposed for the basic methodology of a fast fault detection algorithm based on instantaneous current and its variation ratio. By means of numerical simulation, the influence of fault phase angle, large load input, harmonic current and inrush current is analyzed, and the selection of an adjustment coefficient of the proposed algorithm is also obtained. An example is analyzed in the application of current limiting control in an enterprise, and the range of adjustment coefficients of the improved method and the magnitude of its performance improvement are given. The result proves its feasibility and effectiveness. It is concluded that the fault current can be identified within the desired time without mistakes due to fault phase angle, large load input and harmonic current.
This work is supported by National Natural Science Foundation of China “Key Technologies for Urban Intelligent Distribution Network Protection and Self-cure Control” (No. U1766208). |
Key words: distributed networks fault fast fault detection setting fast switch |