An adaptive optimal control strategy for dynamic stability enhancement of AC/DC power systems

The authors present an adaptive optimal control strategy for enhancement of the integrated AC/DC power system performance. The system modeling is general and applicable to large-scale power systems with an embedded HVDC link. The control algorithm incorporates the nonlinear power system dynamic equations. A novel feature of this development is the use of real-time system measurements as inputs to the optimal controller. The closed-loop optimal control law consists of both model and measurement-based terms. The effectiveness of the optimal control algorithm in damping the electrochemical oscillations is illustrated with the use of a nine-bus AC/DC system.<>