Simulation based neuro-fuzzy hybrid intelligent PI control approach in four-area load frequency control of interconnected power system |
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| Affiliation: | 1. Electrical & Electronics Engg. Dept., SHIATS-Deemed University, Allahabad, India;2. Electrical Engg. Dept., K.N.I.T. Sultanpur, India;1. Department of Informatics Engineering, Faculty of Sciences and Technology, University of Coimbra, Pólo II, Pinhal de Marrocos, 3030-290 Coimbra, Portugal;2. Centre for Informatics and Systems, University of Coimbra, Pólo II, Pinhal de Marrocos, 3030-290 Coimbra, Portugal;3. Department of Informatics Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal;4. Artificial Intelligence and Computer Science Laboratory, University of Porto, Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal;5. Department of Informatics, Polytechnic Institute of Viseu, Campus Politécnico de Repeses, 3504-510 Viseu, Portugal;6. Institute of Electronics and Telematics Engineering of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal;7. Laboratory of Artificial Intelligence and Decision Support, University of Porto, Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal;1. Department of Electrical Engineering, Siksha ‘O’ Anusandhan University, Bhubaneswar 751030, Odisha, India;2. Department of Electrical & Electronics Engineering, VSSUT, Burla 768018, Odisha, India |
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| Abstract: | This paper presents a novel control approach of hybrid neuro-fuzzy (HNF) for load frequency control (LFC) of four-area power system. The advantage of this controller is that it can handle the non-linearities, and at the same time it is faster than other existing controllers. The effectiveness of proposed controller in increasing the damping of local and inter area modes of oscillation is demonstrated in four area interconnected power system. Area-1 and area-2 consist of thermal reheat power plant whereas area-3 and area-4 consist of hydro power plant. Performance evaluation is carried out by using fuzzy, ANN, ANFIS and conventional PI and PID control approaches. The performances of the controllers are simulated using MATLAB/Simulink package. The result shows that intelligent HNF controller is having improved dynamic response and at the same time faster than ANN, fuzzy and conventional PI and PID controllers. |
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| Keywords: | Load frequency control (LFC) ANFIS ANN and fuzzy Area control error (ACE) MATLAB/Simulink |
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