Abstract
This article presents a novel online adaptive non-linear multiple-input–multiple-output neuro-fuzzy control scheme for flexible AC transmission systems. The proposed control system synergistically integrates the time-frequency localization property of wavelets with locally controllable membership functions in the structure of neuro-fuzzy Takagi–Sugeno–Kang control. The proposed control scheme is checked for both multiple-input–single-output and multiple-input–multiple-output topologies. The performance of the proposed control system is validated against different contingencies and operating conditions using non-linear time-domain simulations and different performance indices. The results reveal that the proposed control scheme effectively damps the local and inter-area modes of oscillations.
Published Version
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