Detection and Analysis of Electromechanical Oscillation in Power Systems with Low-Sampled Data Using Modal Analysis Meth
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ORIGINAL ARTICLE
Detection and Analysis of Electromechanical Oscillation in Power Systems with Low‑Sampled Data Using Modal Analysis Methods Jong‑Oh Baek1 · Soobae Kim1 Received: 10 February 2020 / Revised: 3 May 2020 / Accepted: 15 June 2020 © The Korean Institute of Electrical Engineers 2020
Abstract Purpose Electromechanical oscillations between interconnected generators are considered a major threat to the secure operation of power systems. Therefore, oscillation monitoring systems in real-time are of critical importance to detect the danger of poorly damped oscillations. For the detection and analysis of the oscillations, high-temporal-resolution measurements are required according to the Nyquist theorem. This paper proposes a novel algorithm for the identification of electromechanical oscillations using low-sampled data such as supervisory control and data acquisition (SCADA) measurements. Methods The lack of temporal resolution of the data is compensated by using low-sampled data sets at multiple different locations. At a target location, a high-sampled data-signal can be reconstructed using mode shape information obtained from model-based modal analysis. The variable projection method is then used to detect oscillations and estimate oscillation components including frequency and damping ratio. Results Case studies based on practical Korean power systems are presented to evaluate the performance of the proposed method. Simulation results show that the proposed method can detect and identify electromechanical oscillations with lowsampled data. Keywords Electromechanical oscillations · Detection and analysis of oscillations · Low-sampled data · Model-based modal analysis · Variable projection method · Korean power systems
1 Introduction Electromechanical oscillations between interconnected generators are considered a major threat to the secure operation of power systems. Poorly damped oscillations could limit power transfers and potentially damage generator rotor shafts [1]. Furthermore, growing oscillations could cause cascading outages that potentially lead to system collapse. The collapse of the Western Electricity Coordinating Council system in August 1996 is the most famous example. Risks of oscillations that adversely impact the operation of power systems have been reported in many countries, including central Europe and India [2–4].
* Soobae Kim [email protected] Jong‑Oh Baek [email protected] 1
Department of Electrical Engineering, Kyungpook National University, Daegu, Korea
Electromechanical oscillations in the frequency range 0.1–2 Hz are inherent to power systems, and they can be divided into local and inter-area modes [5, 6]. While local modes are associated with electrically close groups of generators and are in the relatively high frequency range of 0.7–2 Hz, inter-area oscillations are associated with interactions between generator groups that are electrically far apart, and are in the relatively low frequency range of 0.1–0.7 Hz [6, 7]. Traditionally, modal analysis has bee
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