Power system damping control through fuzzy static VAR compensator design including crisp optimum theory

Static VAR compensators (SVC) are known to improve voltage and reactive power flow in a power system. Properly controlled SVCs can also provide damping to power system oscillations. This article presents a fuzzy logic SVC controller design for damping control considering different input signals. A fuzzy logic control strategy has been developed that uses crisp optimum control theory to obtain the best combination of speed deviation and acceleration signals so as to stabilize the system in minimum time. The proposed fuzzy controller requires much less fuzzy variables, and is computationally very efficient. Simulation results show that the crisp optimum control based fuzzy logic controller provides excellent damping to the power system compared to the general fuzzy strategies.