基于改进粒子群算法的电力系统过流继电器协调优化设置[j]

Sopanha Khan, M. Pujiantara, A. Priyadi
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引用次数: 0

摘要

在保护系统中,ocr的设置必须与其他保护装置仔细协调,以确保正常运行并最大限度地减少误跳闸的风险。ocr的协调包括选择合适的设置,如TDS和TCC曲线类型。然而,系统规划的复杂性,特别是在工业中,需要对这些设置进行优化,以达到最佳和可靠的保护质量。因此,本文提出了一种改进的粒子群优化算法(MPSO),以确定实际工业电力系统PT. Pupuk Sriwidjaja (P1B)中应用的最优OCR设置。结果表明,与基本粒子群算法相比,该算法实现了最优中继整定,收敛速度快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Setting of Overcurrent Relay Coordination on Real Power System PT. Pupuk Sriwidjaja Using Modified Particle Swarm Optimization Algorithm
In the protection system, the setting of OCRs must be careful coordinated with another protective devices to ensure proper operation and minimize the risk of a false trip. The coordination of OCRs involves selecting appropriate settings such as TDS and TCC curve type. However, the complexity of the system plan, especially in the industrial, required these settings to be optimized aiming to reach the optimum and reliable protection quality. Therefore, a better version of PSO called the modified particle swarm optimization algorithm (MPSO) is proposed in this paper to determine the optimum OCR setting for application in an actual industrial power system called PT. Pupuk Sriwidjaja (P1B). As a result, the proposed algorithm has successfully achieved the optimum relay setting with a fast convergence compared to the basic PSO.
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