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A platform for research: civil engineering, architecture and urbanism
Fuzzy Logic Based Energy Controlling Strategy for Isolated Wind-PV Hybrid System
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 math works tool MATLAB/Simulink and its performance is evaluated.
Fuzzy Logic Based Energy Controlling Strategy for Isolated Wind-PV Hybrid System
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 math works tool MATLAB/Simulink and its performance is evaluated.
Fuzzy Logic Based Energy Controlling Strategy for Isolated Wind-PV Hybrid System
Saravanan S. (author) / Ramji Tiwari (author) / Pandiyan P. (author) / Kumar K. (author) / Ramesh Babu N. (author) / Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)
2020-02-29
oai:zenodo.org:5569135
International Journal of Engineering and Advanced Technology (IJEAT) 9(3) 780-783
Article (Journal)
Electronic Resource
English
DDC:
690
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