Optimal sizing of standalone hybrid energy system using a novel multi-objective evolutionary algorithm

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Optimal sizing of standalone hybrid energy system using a novel multi-objective evolutionary algorithm

Many remote areas are subjected to lack of electricity access thus affecting a nation’s growth. Building standalone hybrid energy systems (HES) have been proven to be the most feasible solution. The inclusion of supercapacitor in HES aids in prolonging battery lifespan, reducing the overall system c...

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Bibliographic Details
Main Author:	Basarudin, Hanim
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2020
Subjects:	optimization multi-objective evolutionary algorithm genetic algorithm standalone hybrid system supercapacitor
Online Access:	https://eprints.nottingham.ac.uk/59520/

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