A decentralized adaptive stabilizer based on minimal control synthesis algorithm for a multi-machine power system

In this paper, a new approach to decentralized adaptive stabilization using a minimal control synthesis algorithm for a multimachine power system is proposed. This controller uses proportional plus integral type adaptation to satisfy the hyperstability conditions for taking care of parameter changes of the system. The stabilization signals are synthesized at the excitation input of each machine such that desired system performance as specified in terms of reference model are satisfied. The reference model parameters are chosen to elicit a well defined closed loop performance. A guarantee of stability to the overall system is also presented. The proposed adaptive control scheme avoids the difficulty of satisfying the Erzberger's model matching conditions and the burden of implementing an online parameter estimator. Above all, the hyperstability guarantees asymptotical stability of the machines under a disturbance. Simulation results of a multi-machine power system are presented which show that the controller works well under system parameter changes and with different disturbances.