基于增强局部测量的低压直流配电网故障在线定位技术

Reeha Shareef, T. Mahmood, Faiqa Tariq
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引用次数: 0

摘要

随着低碳技术的发展,低压直流(LVDC)配电网作为典型交流配电系统的替代方案引起了研究人员的兴趣。LVDC网络减少了电力转换过程中的损耗机会,并提供了额外的可控性和灵活性。然而,由于电源变换器控制着故障电流,使得故障检测和故障定位的估计变得困难,因此对LVDC中的电源变换器进行故障的即时检测和准确定位仍然是一个关键挑战。现有的基于通信的故障定位技术要么依赖快速通信网络,要么依赖数据同步。此外,现有方法在位置估计所需的时间和估计误差方面有待改进。为此,提出了一种基于局部测量增强的LVDC配电网在线故障定位策略,降低了估计误差,可进一步用于故障后的即时维护。本研究的目的是对LVDC配电网中不同类型的直流故障(极对极、极对地)进行定位,并考虑多个变流器(即网内连接的变流器)对故障电流的贡献,优化故障定位的估计误差。利用PSCAD/EMTDC构建了一个简化的LVDC配电网,并用MATLAB对该算法进行了仿真。在LVDC网络上针对不同类型的故障进行了验证,结果表明该算法比现有方法更准确、更可靠。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced Local Measurement Based Online Fault Location Technique for Low Voltage DC Distribution Network
Recent advancements in Low carbon technologies has directed the interest of researchers toward Low Voltage Direct Current (LVDC) distribution network as an alternative of typical AC distribution system. LVDC network reduce the chances of losses during power conversions and provide additional controllability and flexibility. However, immediate fault detection and locating fault accurately is still a key challenge due to the power converters in LVDC, because power converters control the fault current which makes the fault detection and estimation of fault location difficult. Some of the communication based existing techniques for fault location are either rely on quick communication network or data synchronization. Further, the existing methods needed to be improved in terms of required time for location estimation and estimation error. Therefore, an enhanced local measurement based online fault location strategy is proposed with reduced estimation error for LVDC distribution network, which can further be used for immediate post fault maintenance. The purpose of this study is to locate different types of DC faults (pole-to-pole, pole to ground) in LVDC distribution network and optimize the estimation error in fault location by considering the contribution of multiple converters (i.e., connected within network) in fault current. A simplified LVDC distribution network is constructed by PSCAD/EMTDC, and the proposed algorithm is simulated by MATLAB. The proposed algorithm is validated against different types of faults on LVDC network and shown to be more accurate and reliable than existing techniques.
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