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Multi input-output fuzzy logic smart controller for a residential hybrid solar-wind-storage energy system
[Display omitted] •We present a fuzzy smart controller for hybrid renewable and conventional energy system.•The rules are based on human intelligence and implemented in the smart controller.•Efficient tracking capability of the proposed controller is proofed in this paper by an example.•Excess produ...
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Published in: | Energy conversion and management 2017-09, Vol.148, p.238-250 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | [Display omitted]
•We present a fuzzy smart controller for hybrid renewable and conventional energy system.•The rules are based on human intelligence and implemented in the smart controller.•Efficient tracking capability of the proposed controller is proofed in this paper by an example.•Excess produced renewable energy is converted to hydrogen for household use .•Considerable electric grid energy saving is highlighted in the proposed controller system.
This study concerns the conception and development of an efficient multi input-output fuzzy logic smart controller, to manage the energy flux of a sustainable hybrid power system, based on renewable power sources, integrating solar panels and a wind turbine associated with storage, applied to a typical residential habitat. In the suggested topology, the energy surplus is redirected to an electrolysis system to produce hydrogen suitable for household utilities. To assume a constant access to electricity in case of consumption peak, connection to the grid is also considered as an exceptional rescue resource. The objective of the presented controller is to exploit instantaneously the produced renewable electric energy and insure savings of electric grid energy. The proposed multi input-output fuzzy logic smart controller has been achieved and verified, outcome switches command signals are discussed and the renewable energy system integration ratio is highlighted. |
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ISSN: | 0196-8904 1879-2227 |
DOI: | 10.1016/j.enconman.2017.05.046 |