Robust Stability Constraints for Optimal Lead Lag PSS Design Using Interval Approach

Abstract

Electric vehicles have become much more common in our daily lives as a result of technological advancements. This may cause tremendous growth in the consumption of electrical energy. The globe is moving toward the alternative energy generation as a result of global warming and the depletion of fossil resources. Hence ingress of renewable energy into the power sector is inevitable resulting in unavoidable power system uncertainty. Consequently, synchronous generators must function in a wide range of unpredictably changing operational conditions. Hence, tuning of Power System Stabilizer (PSS) parameters over a wide range is required. This research provides a new way for constructing a leadlag PSS that can effectively stabilize the system under wide operational scenarios. The PSS parameters are tuned using the simple stability conditions proposed to ensure power system stability, and the interval coefficients quantify the uncertainty in the system parameters under practical situations. To improve the proposed leadlag PSS's performance, an objective function is defined. The Jaya algorithm is used to fine-tune the PSS parameters. The robustness of the proposed PSS design is confirmed by a case study of a single machine infinite bus (SMIB) power system. Simulation results reveal that the suggested lead-lag PSS is more successful than other well-known controllers in the literature when the system is induced with a step load disturbance for a wide set of operational states.