Robust decentralized design of power system stabilizers taking into consideration system uncertainties

Abstract

SUMMARYIn complex power systems, changes in network configurations, various loading conditions, etc., cause system uncertainties. Without considering such uncertainties in the design, the conventional power system stabilizers (PSSs) may deteriorate the system robust stability. To overcome this problem, the proposed design incorporates the uncertainty model in the system representation. Then, the PSSs in a multi-machine power system are arranged as the decentralized controller in a multi-input multi-output (MIMO) system. The robust stability margin of the closed-loop control system is guaranteed in terms of the MIMO gain margin and phase margin. Control parameters of PSSs are optimized by a tabu search. Non-linear simulation studies confirm the robustness of the designed PSSs against various uncertainties.

Event‐triggered decentralized optimal fault tolerant control for mismatched interconnected nonlinear systems through adaptive dynamic programming

“…Many industrial systems are comprised of several subsystems, such as reconfigurable robots, 1 power systems, 2 transportation systems, 3 which can be regarded as interconnected systems and controlled by decentralized control methods. [4][5][6] With the increasing requirements of the safety and reliability of interconnected systems, failures occurring on actuators, sensors and other components may lead to damage or even disasters.…”