Adaptive power oscillation damping controller of superconducting magnetic energy storage device for interarea oscillations in power system

•An adaptive power oscillation damping controller (APOD) of SMES is proposed.•The APOD is based on generalized predictive control and model identification techniques.•The APOD is robust to operating condition variations and system parameter uncertainties.•The power system stability is enhanced by focusing on the inter-area oscillatory modes.•Simulation results verify the effectiveness of the APOD under different scenarios.

This paper presents an adaptive power oscillation damping (APOD) scheme for the superconducting magnetic energy storage (SMES) device to suppress the interarea oscillation in the inter-connected power system. The APOD scheme is designed based on the generalized predictive control (GPC) and model identification approaches. A recursive least-squares algorithm (RLSA) with a varying forgetting factor is utilized to identify a reduced-order model of the power system online. Based on this identified model, the GPC scheme considering control output constraints can yield an optimal control action by performing an optimization procedure over a prediction horizon. Owing to the usage of the RLSA, the proposed APOD controller can effectively adapt to the variations of operating conditions and parameter uncertainties of the power system. Case studies are undertaken on the New England 10-machine 39-bus power system. Simulation results verify the proposed APOD can consistently provide better damping performance than that of the conventional lead–lag POD, over a wide range of operating conditions and different disturbances.