Abstract
A new online static voltage stability monitoring method for power systems is proposed by using phasor measurement unit (PMU) data in this paper. This approach uses the real-time power, voltage, and phase angle data collected by the PMU to estimate the power flow Jacobian matrix of the system, and then the static voltage stability is monitored via the minimum singular values (MSVs) of the power flow Jacobian matrix. The novelty of the approach lies in the fact that it only utilizes PMU data for implementing online monitoring of the power system static voltage stability, independent of the physical model and its parameters. The application results on the IEEE 57-bus test system verify the effectiveness of the proposed approach.
Highlights
Voltage stability assessment (VSA) has been recognized as an important task to ensure the secure and economical operation of power systems [1, 2]
The wide-area measurement system (WAMS) using time-stamped phasor measurement units (PMUs) has been receiving ever increasing attention from both academia and industry, which makes it possible to explore wide-area protection and control (WAPaC) schemes to avoid the system collapse [18,19,20,21]. erefore, the voltage stability monitoring and assessment of power systems based on PMU data are of great significance in the new context [22,23,24,25]
Suppose the system has n buses in addition to the slack bus, of which there are m PV buses, and the singular value decomposition (SVD) [47, 48] is performed on equation (3)
Summary
Voltage stability assessment (VSA) has been recognized as an important task to ensure the secure and economical operation of power systems [1, 2]. Erefore, the voltage stability monitoring and assessment of power systems based on PMU data are of great significance in the new context [22,23,24,25]. References [29,30,31] illustrate the feasibility of the singular value decomposition theory of the trend Jacobian matrix, but the above methods need to know the Mathematical Problems in Engineering topology and parameters of the system and cannot monitor the static voltage stability of the grid online. Lim and DeMarco put forward a VSA approach with the use of singular value analysis of PMU data in [43, 44] Inspired by these investigations and data-driven decision making [45, 46], this paper presents an online static voltage stability analysis method based on PMU data. Jij Lij where J is the Jacobian matrix of the linearized power flow equation
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