A heuristic-based design of fuzzy SMES controller for stabilization of interconnected power system

Abstract

This paper presents a heuristic-based design of fuzzy logic controller for a superconducting magnetic energy storage (SMES) for stabilization of interconnected power system. Nowadays, a power system becomes complex due to increasing demand in electricity and power system network expansion. Subject to major disturbances, occurrence of power system oscillations is unavoidable. To alleviate the problem, the fuzzy SMES controller is applied in this paper. In particular, SMES has a simultaneous control scheme of active and reactive power. Moreover, the heuristic method, i.e. hybrid tabu search and evolutionary programming (Hybrid TS/EP) is employed to simultaneously optimize control rules and membership functions for fuzzy SMES controller. Consequently, the simulation results and evaluations based on a two-area four-machine power system are carried out to examine the performance and effectiveness of the designed fuzzy SMES controller.