A New Hybrid UPFC Controller for Power Flow Control and Voltage Regulation Based on RBF Neurosliding Mode Technique. (22nd October 2017)

• Record Type: Journal Article
• Authors: Kenne, Godpromesse; Kuate, René Fochie; Fombu, Andrew Muluh; Nguimfack-Ndongmo, Jean de Dieu; Fotsin, Hilaire Bertrand
• Other Names: Tsekouras George E. Academic Editor.
• Is Part Of: Advances in electrical engineering. Volume 2017(2017)
• Publication Date: 2017-10-22
• Subjects: Electrical engineering -- Periodicals; Electrical engineering; Periodicals; 621.3
• DOI: 10.1155/2017/7873491
• Languages: English
• ISSNs: 2356-6655

Abstract

Abstract : This paper presents a new technique to design a Unified Power Flow Controller (UPFC) for power flow control and DC voltage regulation of an electric power transmission system which is based on a hybrid technique which combines a Radial Basis Function (RBF) neural network (online training) with the sliding mode technique to take advantage of their common features. The proposed controller does not need the knowledge of the perturbation bounds nor the full state of the nonlinear system. Hence, it is robust and produces an optimal response in the presence of system parameter uncertainty and disturbances. The performance of the proposed controller is evaluated through numerical simulations on a Kundur power system and compared with a classical PI controller. Simulation results confirm the effectiveness, robustness, and superiority of the proposed controller.