Disturbance analysis tool based on synchrophasor data

P. Mukhopadhyay, R. Nagaraja, Rajkumar Anumasula, F. Khan, C. Kumar, D. Nitesh Kumar
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引用次数: 3

Abstract

Indian grid is among the largest synchronous grid in the world. With rapid growth in demand and generation and increased complexity in transmission network, the grid operation is becoming challenging day by day. With increased complexity, power system dynamic state visualization has a major role in grid operation. This has been achieved with the introduction of Synchrophasor Measurement Units also known as Phasor Measurement Units (PMUs). With the help of PMU, the grid dynamics now can be monitored at sub-second level at control centre. With the help of the sub-second data and phasor information, the power system fault can be easily diagnosed in real time which will help the operator in reducing the after effects and restoration time. This paper is focused on the development of Disturbance Analysis (DA) tool for analyzing faults in the grid using synchrophasor data and its localization at control centre. This will help operator in immediately accessing the fault and taking corrective measures. Various case studies analyzed using the developed DA Tool are discussed in the paper. This tool has eased the process of analysis and reduced the time for detailed analysis of grid event which has increased the operator confidence level during restoration. This tool has laid the path forward for the development of analysis tools as per the user conveyance to monitor the grid.
基于同步相量数据的干扰分析工具
印度电网是世界上最大的同步电网之一。随着电力需求和发电量的快速增长以及输电网复杂性的不断提高,电网运行面临的挑战日益严峻。随着电力系统的复杂性日益增加,电力系统动态可视化在电网运行中发挥着重要作用。这是通过引入同步相量测量单元(也称为相量测量单元(PMUs))来实现的。在PMU的帮助下,控制中心可以对电网动态进行亚秒级监测。利用亚秒级数据和相量信息,可以方便地实时诊断电力系统故障,减少故障后的影响和恢复时间。本文主要研究了利用同步相量数据进行电网故障分析的干扰分析工具的开发及其在控制中心的定位。这将有助于操作人员立即发现故障并采取纠正措施。本文讨论了使用开发的数据分析工具分析的各种案例。该工具简化了分析过程,减少了对网格事件进行详细分析的时间,提高了操作员在恢复过程中的置信度。该工具为根据用户需求开发分析工具来监控电网奠定了基础。
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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