An optimal wide area controller is designed in this paper for a 12-bus power system together with a Static Compensator (STATCOM). The controller provides auxiliary reference signals for the automatic voltage regulators (AVR) of the generators as well as the line voltage controller of the STATCOM in such a way that it improves the damping of the rotor speed deviations of the synchronous machines. Adaptive critic designs theory is used to implement the controller and enable it to provide nonlinear optimal control over the infinite horizon time of the problem and at different operating conditions of the power system. Simulation results are provided to indicate that the proposed wide area controller improves the damping of the rotor speed deviations of the generators during large scale disturbances. Moreover, a robust radial basis function network based identifier is presented in this paper to predict the states of a multimachine power system in real-time. This wide area state predictor (WASP) compensates for transport lags associated with the present communication technology for wide area monitoring of the electric power grid. The WASP is also robust to partial loss of information caused by larger than expected transport lags or even failed sensors throughout the network.
S. Mohagheghi et al., "Optimal Wide Area Controller and State Predictor for a Power System," IEEE Transactions on Power Systems, Institute of Electrical and Electronics Engineers (IEEE), Jan 2007.
The definitive version is available at https://doi.org/10.1109/TPWRS.2007.895158
Electrical and Computer Engineering
Duke Power Company
National Science Foundation (U.S.)
Keywords and Phrases
Adaptive Critic Designs; Missing Sensor Restoration Algorithm; Multimachine Power System; State Estimation; Transport Lag; Wide Area Control; Neural networks (Computer science); Radial basis functions
Article - Journal
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