Affiliation:
1. Engineering Institute, National Autonomous University of Mexico (UNAM), 04510 Ciudad de México, Mexico
2. Department of Control and Robotics, National Autonomous University of Mexico (UNAM), 04510 Ciudad de México, Mexico
Abstract
This article addresses the problem of estimating the state of a multimachine power system (MPS). To work with power networks with lossy transmission lines, a variation of the classical third-order MPS is proposed by considering generators’ electrical power injected into the grid as a state variable. Based on a linear decentralized estimation model (tailored for a specific purpose), the state variables of generators (load angle, relative speed, and electrical power) together with terminal voltage magnitudes are estimated in a decentralized fashion through two new robustly convergent linear Luenberger estimators, one based on load angle measurement and the other based on relative speed measurement. The new MPS estimation model includes a set of robustly quick observable states, one per machine, which allows capturing the interaction with other generators, transmission line losses, unknown disturbances, and model errors. The result is a design superior to other related estimation techniques such as the extended Kalman filter (EKF) or Sliding Modes Perturbation Observer (SMPO) in terms of (i) a conventional-like simple pole placement-based tuning, (ii) low online computational load and disturbance rejection capability, and (iii) small gain-based convergence assessment. The performance of the proposed state estimation scheme is illustrated in a 3-machine power system under different operational conditions.
Funder
Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Cited by
2 articles.
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