基于群辅助正序电流分量的输电线路定向继电保护

C. Prasad, M. Biswal, P. K. Nayak
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引用次数: 4

摘要

本文提出了一种基于群辅助正序电流的定向继电方法,用于输电网故障的检测和方向估计。针对该分类,采用粒子群优化(PSO)算法识别两个不同的阈值。现有方法采用基于试错法的阈值设置方法对故障方向进行检测和分类,对某些故障和非故障事件有一定的限制。另一方面,该算法利用粒子群算法从随机生成的一组解中获得最优阈值,保证了极端故障和非故障事件的故障方向估计的可靠性。这从使用MATLAB-SIMULINK在双总线测试电源系统上生成的广泛案例研究中可以看出。
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Swarm Assisted Positive Sequence Current Component based Directional Relaying for Transmission Line Protection
In this paper, swarm assisted positive sequence current based directional relaying is proposed for detection and direction estimation of faults in power transmission network. For this classification, two different thresholds are identified through particle swarm optimization (PSO) algorithm. The available methods used to adopt trial-and-error based threshold setting approaches for detection and classification of fault direction and have limitation for certain fault and non-fault events. On the other hand, the proposed swarm intelligence assisted optimal threshold setting obtained from a set of randomly generated solutions using PSO ensures reliable estimation of fault direction even for extreme fault and non-fault events. This is evident from the extensive case studies generated on a 2-bus test power system using MATLAB-SIMULINK.
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