Application of type-2 fuzzy logic system for load frequency control using feedback error learning approaches |
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| Affiliation: | 1. Department of Applied Sciences, Haldia Institute of Technology, Haldia, Purba Medinipur 721657, India;2. Department of Mathematics, Jhargram Raj, College, Jhargram 721507, West Bengal, India;3. Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore 721 102, West Bengal, India;1. College of Management, Yuan Ze University, 135 Yuan-Dung Road, Chung-Li, Taoyuan 320, Taiwan;2. Department of Information Management, National Chi Nan University, 470, University Road, Puli Nantou 545, Taiwan;1. Department of Accounting, School of Business and Accounting, Federal University of Rio de Janeiro, Av. Pasteur 250, Rio de Janeiro 22290-240, Brazil;2. Department of Economic Theory, Institute of Economics, University of Campinas, Av. Pitágoras 353, Campinas 13083-857, Brazil;3. Department of Computer Engineering and Automation, School of Electrical and Computer Engineering, University of Campinas, Av. Albert Einstein 400, Campinas 13083-852, Brazil |
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| Abstract: | In this paper, the type-2 fuzzy logic system (T2FLS) controller using the feedback error learning (FEL) strategy has been proposed for load frequency control (LFC) in the restructure power system. The original FEL strategy consists of an intelligent feedforward controller (INFC) (i.e. artificial neural network (ANN)) and the conventional feedback controller (CFC). The CFC acting as a general feedback controller to guarantee the stability of the system plays a crucial role in the transient state. The INFC is adopted in forward path to take over the control problem in the steady state. In this work, to improve the performance of the FEL strategy, the T2FLS is adopted instead of ANN in the INFC part due to its ability to model uncertainties, which may exist in the rules and measured data of sensors more effectively. The proposed FEL controller has been compared with a type-1 fuzzy logic system (T1FLS) – based FEL controller and the proportional, integral and derivative (PID) controller to highlight the effectiveness of the proposed method. |
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| Keywords: | Load frequency control Type-2 fuzzy logic system Feedback error learning and restructure power system |
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