Robust estimators incorporating voltage and current phasors from PMUs

Farhan Ahmad, D. Minerals, I. Habiballah
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引用次数: 0

Abstract

State Estimation is the backbone of modern electric power system and is used by almost all Energy Management Systems (EMS) in the world to ensure the real-time monitoring and secure operation of a power system. Phasor Measurement Unit (PMU) is most popular meter in today’s electrical power industry because of its high refresh rates and measurement accuracy. Meanwhile, state estimation with only PMUs is not practical because of the very high initial installation cost. Consequently, the use of PMU meters along with conventional Supervisory Control and Data Acquisition (SCADA) meters can improve the performance of the state estimation. In this paper, phasor measurements (voltage and current phasors) are incorporated in two robust estimators: Weighted Least Absolute Value (WLAV) and Least Measurement Rejected (LMR). Further, we have investigated the importance of locating PMUs to save cost and improve the performance of state estimation. The performance of these two estimators after incorporating voltage and current phasors is investigated in terms of estimation accuracy of state variables and computational efficiency in the presence of different bad-data scenarios on IEEE-30 and IEEE-118 bus systems.
包含PMU电压和电流相量的鲁棒估计器
状态估计是现代电力系统的支柱,几乎被世界上所有的能源管理系统(EMS)用来确保电力系统的实时监控和安全运行。相量测量单元(PMU)以其高刷新率和测量精度成为当今电力行业最受欢迎的电表。同时,由于初始安装成本非常高,仅使用PMU的状态估计是不实际的。因此,PMU仪表与传统的监控和数据采集(SCADA)仪表一起使用可以提高状态估计的性能。在本文中,相量测量(电压和电流相量)被纳入两个鲁棒估计器:加权最小绝对值(WLAV)和拒绝最小测量(LMR)。此外,我们还研究了定位PMU对节省成本和提高状态估计性能的重要性。在IEEE-30和IEEE-118总线系统上存在不同坏数据场景的情况下,从状态变量的估计精度和计算效率的角度研究了合并电压和电流相量后这两个估计器的性能。
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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