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ABSTRACT
Over the years, several achievements have been made in power generation and optimising hybrid renewable energy systems (HRES) to achieve nature conservation, achieve energy security, and reduce carbon emissions. However, there are many complexities in Renewable energy (RE) conversion, sizing, design, and implementation, that require optimisation techniques to achieve optimal results in terms of reliability, cost, and environmental protection over time. This paper presents an overview of research trends in Optimization methods in HRES which are classified into modern and conventional methods. These two classifications are further divided into control methods, Artificial intelligence, Iterative and mathematical operations. However, all mentioned techniques have inherent advantages and disadvantages which will be discussed in this survey. In addition, the review paper explored different types of research in computing intelligence (CI), an aspect of Artificial Intelligence (AI) that involves the development of nature-inspired algorithms for optimisation. Finally, general optimisation criteria, system sizing methods used in RES, Mathematical modelling of RES, and gaps for future work to achieve sustainability were also presented.
Acknowledgements
Author Contributions: Conceptualization: E.A.O, S.G, and O.K.A.; Methodology and Assessment: S.G and E.A.O., research: O.K.A.; Drafting original draft: C.V.O and O.K.A.; Editing and proofreading: C.V.O and O.K.A.; Supervision: E.A.O and S.G. All authors have read and approved the published version of the manuscript and have no conflicts of interest.
Disclosure statement
No potential conflict of interest was reported by the author(s).