title: Accurate parameter estimation for unbalanced three-phase system.
abstract: Smart grid is an intelligent power generation and control console in modern electricity networks, where the unbalanced three-phase power system is the commonly used model. Here, parameter estimation for this system is addressed. After converting the three-phase waveforms into a pair of orthogonal signals via the α β-transformation, the nonlinear least squares (NLS) estimator is developed for accurately finding the frequency, phase, and voltage parameters. The estimator is realized by the Newton-Raphson scheme, whose global convergence is studied in this paper. Computer simulations show that the mean square error performance of NLS method can attain the Cramér-Rao lower bound. Moreover, our proposal provides more accurate frequency estimation when compared with the complex least mean square (CLMS) and augmented CLMS.
authors.affiliation: Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Chen
authors.affiliation: Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong.
authors.forename: Hing Cheung
authors.identifier: 0000-0001-8396-7898
authors.initials: HC
authors.lastname: So
mesh_terms: D001185:Artificial Intelligence; D003198:Computer Simulation; D017711:Nonlinear Dynamics; D011210:Power Plants; D059205:Renewable Energy