Real‐time harmonics estimation in power systems using a novel hybrid algorithm

Performance limits for the amplitude estimation of power system harmonics & interharmonics

“…A selection of these algorithms can be found in [26–33]. Finally, some hybrid algorithms in the literature combine different approaches for harmonic analysis as in [34]. In all of these methods, the estimation of harmonic amplitudes is made by using least squares (LSs), RLS and KF.…”

Estimation for power quality disturbances with multiplicative noises and correlated noises: a recursive estimation approach

“…renewable energy generators, electric vehicle charging-piles and static var compensators) would generate massive harmonics and has a great impact on the power quality (Bagheri et al, 2016;Chen & Chen, 2014;Ray et al, 2016;Yilmaz et al, 2008). Furthermore, power quality disturbances may not only damage the electric equipments, but also threaten the stability of the power systems (Enayati & Moravej, 2017;Singh et al, 2016). As such, it is critically important to monitor the power quality in a robust yet dynamical way.…”

“…As for the detection and monitoring of the power quality disturbances, the Kalman filtering approaches have also been widely applied; see, e.g. Cisneros-Magaña et al (2017), Enayati and Moravej (2017), Makram et al (1991), Hajimolahoseini et al (2015), Kanieski et al (2013), Ma and Girgis (1996), Macias and Gomez-Exposito (2006), Nie (2020), Serna and Rodriguez-Maldonado (2012) and Wang and Yaz (2016). In Serna and Rodriguez-Maldonado (2012), the dynamic phasor estimation problem has been investigated, where the dynamic phasor model has been first approximated by the statetransition matrix of the kth-order Taylor and then the parameters of the dynamic phasor have been estimated through Kalman filtering algorithm.…”

An Evaluation Method for Harmonic Emission Level Based on Principal Component Regression

“…In relevant studies, the harmonic emission level is mainly evaluated based on the harmonic contributions of the supply system and the consumer at the point of common coupling (PCC) [7][8][9][10]. Many evaluation methods have emerged, including Kalman filter [11][12], harmonic state estimation [13], k-nearest neighbors (kNN) algorithm [14], empirical mode decomposition [15] and distributed measurements [6]. In practice, however, the harmonic emission level is generally evaluated by statistical methods [16].…”