Abstract
Conference Title: 2018 IEEE Power & Energy Society General Meeting (PESGM) Conference Start Date: 2018, Aug. 5 Conference End Date: 2018, Aug. 10 Conference Location: Portland, OR, USA Power system stabilizers are usually derived based on simplified design models. The design models exhibit modeling uncertainties due to ignoring fast dynamics, change of operating conditions, and network disturbances. It is proposed here to use a continuous-time least-squares algorithm to estimate the model parameters and the associated uncertainties at each operating point of interest. Hence, a local robust stabilizer is designed using Kharitonov theorem and a simple root-locus procedure. The local controllers are blended together using a Takagi-Sugeno (T-S) fuzzy system. The result is a robust controller that can cope with different operating conditions. The performance of the proposed stabilizer is demonstrated using a simulation model of a two-area four-machine power system.