Open AccessOptimal linear quadratic Gaussian control based frequency regulation with communication delays in power system
Author(s) -
Hoan Bao Lai,
AnhTuan Tran,
Huynh Van Khang,
Emmanuel Nduka Amaefule,
Phong Thanh Tran,
Van-Duc Phan
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i1.pp157-165
Subject(s) - linear quadratic gaussian control , control theory (sociology) , kalman filter , controller (irrigation) , linear quadratic regulator , mathematics , estimator , computer science , lyapunov function , optimal control , mathematical optimization , control (management) , nonlinear system , statistics , physics , quantum mechanics , artificial intelligence , agronomy , biology
In this paper, load frequency regulator based on linear quadratic Gaussian (LQG) is designed for the MAPS with communication delays. The communication delay is considered to denote the small time delay in a local control area of a wide-area power system. The system is modeled in the state space with inclusion of the delay state matrix parameters. Since some state variables are difficult to measure in a real modern multi-area power system, Kalman filter is used to estimate the unmeasured variables. In addition, the controller with the optimal feedback gain reduces the frequency spikes to zero and keeps the system stable. Lyapunov function based on the LMI technique is used to re-assure the asymptotically stability and the convergence of the estimator error. The designed LQG is simulated in a two area connected power network with considerable time delay. The result from the simulations indicates that the controller performed with expectation in terms of damping the frequency fluctuations and area control errors. It also solved the limitation of other controllers which need to measure all the system state variables.