Fuzzy Logic Based Energy Controlling Strategy for Isolated Wind-PV Hybrid System
Saravanan S.1, Ramji Tiwari2, Pandiyan P.3, Kumar K.4, Ramesh Babu N.5
1Saravanan S., Department of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India.
2Ramji Tiwari, Department of Electrical and Electronics Engineering, Bharat Institute of Engineering and Technology, Hyderabad, India.
3Pandiyan P.*, Department of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India.
4Kumar K., Department of Electrical and Electronics Engineering, SV College of Engineering, Tirupathi, India.
5Ramesh Babu N., Department of Electrical and Electronics Engineering, M. Kumaraswamy College of Engineering, Karur, Tamilnadu, India.
Manuscript received on February 01, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 780-783 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C5267029320/2020©BEIESP | DOI: 10.35940/ijeat.C5267.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The paper proposes a fuzzy logic based energy management strategy for isolated hybrid PV-Wind system. This PV-Wind system comprises of 500 W photovoltaic (PV) systems and 600 W permanent magnet based alternator for conversion of wind energy. A step down converter is connected to the system in order to charge the 48V battery electric storage system (BESS). The load of 1 kW system is supplied with the 1.1 kW hybrid systems. The renewable energy sources are intermittent in nature and hence BESS system is used to support the load when there is shortage of energy generated. To optimize the output voltage of the fuzzy logic approach based maximum power point tracking (MPPT) method is employed which is also utilized for the energy management strategy. The proposed topology is modeled and simulated using mathworks tool MATLAB/Simulink and its performance is evaluated.
Keywords: Energy management, Fuzzy logic approach, maximum power point tracking, photovoltaic system.