LAPSE:2023.19543
Published Article
LAPSE:2023.19543
Optimal Planning of Remote Area Electricity Supply Systems: Comprehensive Review, Recent Developments and Future Scopes
March 9, 2023
Abstract
Optimal planning of a remote area electricity supply (RAES) system is a vital challenge to achieve a reliable, clean, and cost-effective system. Various components like diesel generators, renewable energy sources, and energy storage systems are used for RAES systems. Due to the different characteristics and economic features of each component, optimal planning of RAES systems is a challengeable task. This paper presents an overview of the optimal planning procedure for RAES systems by considering the important components, parameters, methods, and data. A timely review on the state of the art is presented and the applied objective functions, design constraints, system components, and optimization algorithms are specified for the existing studies. The existing challenges for RAES systems’ planning are recognized and discussed. Recent trends and developments on the planning problem are explained in detail. Eventually, this review paper gives recommendations for future research to explore the optimal planning of components in RAES systems.
Keywords
electricity cost, energy storage system, optimal planning, reliability, remote area electricity supply, Renewable and Sustainable Energy
Suggested Citation
Khezri R, Mahmoudi A, Aki H, Muyeen SM. Optimal Planning of Remote Area Electricity Supply Systems: Comprehensive Review, Recent Developments and Future Scopes. (2023). LAPSE:2023.19543
Author Affiliations
Khezri R: College of Science and Engineering, Flinders University, Adelaide, SA 5042, Australia [ORCID]
Mahmoudi A: College of Science and Engineering, Flinders University, Adelaide, SA 5042, Australia [ORCID]
Aki H: Faculty of Engineering, Information and Systems, University of Tsukuba, Ibaraki 305-8573, Japan [ORCID]
Muyeen SM: Department of Electrical Engineering, Qatar University, Doha 2713, Qatar [ORCID]
Journal Name
Energies
Volume
14
Issue
18
First Page
5900
Year
2021
Publication Date
2021-09-17
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14185900, Publication Type: Journal Article
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LAPSE:2023.19543
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https://doi.org/10.3390/en14185900
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CC BY 4.0
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