Microgrid cost optimization: a case study on Abu Dhabi

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NINAN, J., OTHMAN, Y., ALDHUHOORI, S., MEEGAHAPOLA, L. and AKMAL, Muhammad (2019). Microgrid cost optimization: a case study on Abu Dhabi. 2018 8th International Conference on Intelligent Systems, Modelling and Simulation (ISMS), 2018, 120-125. [Article]

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24890:533975

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Abstract

This paper presents a microgrid cost optimization study specifically focused on the United Arab Emirates (UAE) based on the Genetic and Ant-Bee Colony algorithms. The main objective of the paper is to identify size and amount of power supply sources in Microgrids that result in minimum cost. Specific parameters pertaining to the UAE were employed within the new objective function and constraints. Two different scenarios were tested, and their results have been discussed. During this study, it was evident that solar-PV systems were the second most cost-effective way to reduce cost of microgrids preceded by micro-turbines.

More Information

Official URL:

https://ieeexplore.ieee.org/document/8699195

Additional Information:

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Uncontrolled Keywords:

Genetic algorithms; microgrids; optimization; power-generation dispatch; power systems

Page Range:

120-125

Related URLs:

Identifiers

Identification Number:

10.1109/ISMS.2018.00032

ORCID:

https://orcid.org/0000-0002-3498-4146