A new optimized fuzzy FOPI-FOPD controller for automatic generation control of electric power systems |
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| Institution: | 1. Department of Automation, College of Information Sciences and Technology, Donghua University, Shanghai 201620, China;2. National-Local Joint Engineering Laboratory of Digitalize Electrical Design Technology, Wenzhou University, Wenzhou 325035, China;3. Wenlan School of Business, Zhongnan University of Economics and Law, Wuhan 430073, China;1. Ain Shams University, Faculty of Engineering, Department of Electric Power and Machines, Cairo, Egypt;2. Zagazig University, Faculty of Engineering, Department of Electric Power and Machines, P.O. Box 44519, Zagazig, Egypt;1. Department of Electrical and Electronics Engineering, Maharaja Surajmal Institute of Technology, Janakpuri, New Delhi, India;2. Department of Electrical Engineering, Delhi Technological University, Main Bawana Road, Delhi, India |
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| Abstract: | In the rapidly expanding size and complexity of the electricity network, automatic generation control (AGC) is contemplated to be the most remarkable option for offering good quality electric power supply to the end users. An AGC system entails highly vigorous, competent and intelligent control technique to deliver a healthy power under stochastic nature of consumers’ power demand. Hence, in this paper, a hybrid fuzzy fractional order proportional integral-fractional order proportional derivative (FFOPI-FOPD) controller is proposed as a new expert control technique to tackle AGC profitably in isolated and interconnected multi-area power systems. A recently developed imperialist competitive algorithm (ICA) is utilized for the optimization of the output gains (KP/KP1/KI/KD) and other parameters such as order of integrator (λ) and differentiator (μ) of FFOPI-FOPD controller exercising integral of squared error criterion. The proposed technique is firstly implemented on 1-area thermal system, then to express its potential and extensibility, the work is extended to 2-area hydro-thermal and 3-area thermal power systems widespread in the literature. The eminence of the method is betokened by comparing the results with the various newly published control methodologies and FPI/FFOPI controller designed in the study via ICA in terms of minimum values of various error criteria and undershoots/overshoots/settling times of frequency and tie-line power deviations following a sudden load demand in an area. The sensitivity analysis substantiates that the suggested controller is robust and performs staunchly under the wide variations in the system parameters, random load pattern and in the company of physical constraints to produce more clean electricity. |
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