Coordination of Dual-Setting Overcurrent and Distance Relays for Meshed Distribution Networks with Distributed Generations and Dynamic Voltage Restorer

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES
D. K. Singh, S. Sarangi, A. K. Singh, S. Mohanty
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引用次数: 5

Abstract

ABSTRACT Simultaneous coordination of dual-setting directional overcurrent relays (DOCRs) and distance relays (DRs) is capable of providing reliable protection in a meshed distribution network (MDN). However, survey of literature on coordination of DRs and dual-setting DOCRs, reveals changes in system topology, especially in the presence of distributed generations (DGs), affects the coordination. As penetrations of DGs are increasing with time and in few years in a row, MDN with 100% penetration is also possible, an improved coordination of dual-setting DOCRs & DRs is targeted in this work. With nonstandard characteristic of DOCR, an innovative objective function is proposed and explored for optimum settings with particle swarm optimization (PSO) and gray wolf optimization (GWO). With various simulation studies, the performance of the proposed approach is investigated with and without compensation using a dynamic voltage restorer (DVR). The proposed method is validated on modified 14-bus and 39-bus test systems. The simulation results depict that the proposed approach can solve the miscoordination problem and the number of relays, operating time, and coordination time interval (CTI) of relays are also minimized. Comparison with convention approach demonstrates the benefits of proposed approach.
带有分布式电源和动态电压恢复器的网状配电网中双整定过流和距离继电器的协调
双整定定向过流继电器(docr)和距离继电器(DRs)的同步协调能够在网状配电网(MDN)中提供可靠的保护。然而,通过对dr和双设置docr的协调文献的调查发现,系统拓扑的变化,特别是在分布式代(dg)存在的情况下,会影响协调。随着时间的推移和连续几年的发展,DGs的穿透率不断提高,100%穿透的MDN也成为可能,本研究的目标是改进双设置docr和dr的协调。针对DOCR的非标准特性,提出了一种创新的目标函数,并用粒子群优化(PSO)和灰狼优化(GWO)探索了最优设置。通过各种仿真研究,研究了采用动态电压恢复器(DVR)进行补偿和不进行补偿时所提出方法的性能。该方法在改进的14总线和39总线测试系统上得到了验证。仿真结果表明,该方法能较好地解决不协调问题,并能最大限度地减少继电器的数量、操作时间和协调时间间隔(CTI)。与传统方法的比较表明了该方法的优越性。
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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来源期刊
Smart Science
Smart Science Engineering-Engineering (all)
CiteScore
4.70
自引率
4.30%
发文量
21
期刊介绍: Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials
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