An Advanced Method to Fuzzy Logic Based on Hybrid Renewable Power Optimization, Real Time Application

Authors Nesar Uddin1 , Saiful Islam2 , Yingjun Wu1 , Tuton Chandra Mallick3, Mohammad Farhad Hossain1, Ishaque Mozumder2, Al Mamun4

1Hohai University, Nanjing, China

2Chittagong University of Engineering and Technology (CUET), Chattogram 4349, Bangladesh

3Premier University, Chittagong, Bangladesh

4University of Bremen, Germany

Issue Volume 13, Year 2021, Number 3
Dates Received 21 March 2021; revised manuscript received 15 June 2021; published online 25 June 2021
Citation Nesar Uddin, Saiful Islam, Yingjun Wu, et al., J. Nano- Electron. Phys. 13 No 3, 03024 (2021)
PACS Number(s) 07.05.Mh,, 88.05.Ec
Keywords Hybrid renewable power optimization, Fuzzy system, Energy allocation optimization, Energy management optimization.

This research article presents the optimal production and proper management of energy consisting of various renewable energy sources and battery cooperatives for the Rohingya community of Teknaf in Cox's Bazar. By generating 210 units of electricity per day on a small scale; people can fulfill their load demand using a combination of solar, wind, and Biomass power for a few families. At first, an optimization software HOMER has been used for optimizing the amount of renewable power and battery needed based on different input parameters for an effective energy management optimization. Then FLC is used for a proper energy management optimization system within which the given fuzzy rule can perform nonlinear functions used with its own intelligence. The fuzzy rules are designed not only to work at any time of the day but also to use the battery after the load demand is met when renewable energy sources are not plentiful. Optimum and management results have been provided that are much effective in the conventional method. In the meantime, rule view show that there is a proper correlation between energy production and battery charge-discharge, dummy load, and load demand, which in turn reduces unnecessary wastage of energy.

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