综述:继电器协调的方法

Shubhangi B. Walke, N. Jangle
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引用次数: 2

摘要

当保护系统因过压、低频、过载等原因而出现异常运行状态,可能导致供电中断,并可能损坏与系统相连的设备时,电力系统的可靠性会降低。为了保持系统的稳定性和可靠性,有必要有一个保护系统,以尽可能快的速度运行,隔离故障下系统的最小部分。为此,有必要在保护装置之间进行协调,以确保安全操作。本文研究了在可再生能源分布式发电日益受到关注的情况下,有分布式发电机组和没有分布式发电机组的配电系统的继电协调问题。定向过流继电器作为配、分输电系统的一次保护和输电系统的二次保护,具有简单、经济的优点。DG的加入可能会导致馈线误跳闸,增加或减少短路电平,在径向配电系统中会产生双向潮流,因此寻找继电器协调问题的最优解有不同的优化方法。本文综述了遗传算法、线性规划、粒子群优化和混合粒子群优化等算法。其中,混合粒子群算法与遗传算法、线性规划相比,迭代次数少,求解效果好。在混合粒子群算法中,TMS是连续参数,电流整定是离散参数。在粒子群优化算法每次迭代结束时,通过线性规划计算TMS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review: Methods for relay coordination
Reliability of the power system degrades with abnormal operating condition of the protective system caused due to overvoltage, under-frequency, overload etc. which may leads to interruption of the supply, and may damage equipment's connected to the system. To maintain system stability and reliability it is necessary to have a protective system which operates as quickly as possible, isolates smallest part of the system under fault. For this purpose it is necessary to have coordination between the protective devices to assure safe operation. This paper represents the relay coordination of distribution system with and without penetration of distributed generators due to increase in the interest in distributed generation by renewable energy sources. Directional overcurrent relaying, which is simple and economic, is commonly used as primary protection in distribution and sub transmission system and secondary protection in transmission system. This inclusion of DG may cause false tripping in feeders, increasing or decreasing short circuit levels, bidirectional power flow in case of radial distribution system, so to find the optimal solution of relay coordination problem there are different optimization methods. In this paper review of the methods like Genetic algorithm, Linear programming, Particle swarm optimization and Hybrid PSO is presented. Out of these methods hybrid PSO gives better solution with less iterations as compared to Genetic algorithm, Linear programming. In Hybrid PSO, TMS is considered as continuous parameter and current setting as discrete parameter. TMS is calculated by linear programming at the end of each iteration of PSO optimization algorithm.
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