Optimization of Overcurrent Relay Coordination using Artificial Bee Colony

Y. Siregar, Z. Pane, A. Nasution
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Abstract

A protection relay system is essential to isolate the disturbance as early as possible in the electric power system. In overcoming various disturbances, relay coordination is important to cooperate relay to ensure safe and reliable operation for the continuity of electrical service. The relay coordination is the main relay that works selectively against disturbances that occur in the electrical system. If the relay fails to isolate the disturbance, the backup relay can work as a backup safety. Previously, research on optimization of overcurrent relay coordination has been carried out using the Fuzzy Logic method. This study compares the Artificial Bee Colony method with Fuzzy Logic optimization for time and TMS values for getting optimization. Using the Artificial Bee Colony method, the study results showed the average TMS error value is 21.57%, and the average time error value is 13.46%. On the other hand, the fuzzy logic optimization average TMS error value is 30.48%, and the average time error value is 43.18%.
基于人工蜂群的过流继电器协调优化
在电力系统中,继电保护系统是尽早隔离干扰的关键。在克服各种干扰时,继电协调是保证继电系统安全可靠运行,保证电力服务连续性的重要手段。继电器协调是对电力系统中发生的干扰进行选择性工作的主要继电器。如果继电器不能隔离干扰,备用继电器可以作为备用安全装置。在此之前,对过流继电器协调优化的研究主要采用模糊逻辑方法。将人工蜂群法与模糊逻辑优化法在时间和TMS值上进行了比较。采用人工蜂群法,研究结果表明,TMS平均误差值为21.57%,平均时间误差值为13.46%。另一方面,模糊逻辑优化的平均TMS误差值为30.48%,平均时间误差值为43.18%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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