TY - JOUR
T1 - Adaptive power oscillation damping controller of superconducting magnetic energy storage device for interarea oscillations in power system
AU - Yao, Wei
AU - Jiang, L.
AU - Fang, Jiakun
AU - Wen, Jinyu
AU - Cheng, Shijie
AU - Wu, Q. H.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - 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.
AB - 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.
KW - Adaptive control
KW - Generalized predictive control
KW - Model identification
KW - Power oscillation damping (POD) controller
KW - Superconducting magnetic energy storage (SMES)
UR - http://www.scopus.com/inward/record.url?scp=84961160512&partnerID=8YFLogxK
U2 - 10.1016/j.ijepes.2015.11.055
DO - 10.1016/j.ijepes.2015.11.055
M3 - Journal article
AN - SCOPUS:84961160512
SN - 0142-0615
VL - 78
SP - 555
EP - 562
JO - International Journal of Electrical Power & Energy Systems
JF - International Journal of Electrical Power & Energy Systems
ER -