Abstract
Exploiting renewable energy resources can help decrease carbon emissions by providing a reliable solution to generate electricity and tackle the climate change dilemma. Artificial Intelligence algorithms have been used in the last two decades to optimize power system networks. In this paper, we discussed the effect of replacing the existing Diesel Generator (DG) with a wind turbine to satisfy the load in the standalone hybrid (DG, PV, Battery) radial network in Tomia Island, south-east Sulawesi, Indonesia. Loss of Power Supply Probability (LPSP) and the Coefficient of determination parameters were used as technical performance indicators. Firefly Algorithm (FF) and Surrogate Optimization technique were used to optimize the system considering the minimum costs.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Computer and Applications, ICCA 2022 - Proceedings |
| Editors | Jihad M. Alja'Am, Soumaya AlMaadeed, Samir Abou Elseoud, Omar Karam |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665452946 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 4th International Conference on Computer and Applications, ICCA 2022 - Cairo, Egypt Duration: 20 Dec 2022 → 22 Dec 2022 |
Publication series
| Name | Proceedings of the International Conference on Computer and Applications, ICCA 2022 - Proceedings |
|---|
Conference
| Conference | 4th International Conference on Computer and Applications, ICCA 2022 |
|---|---|
| Country/Territory | Egypt |
| City | Cairo |
| Period | 20/12/22 → 22/12/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
Keywords
- Firefly Algorithm
- Hybrid System
- LPSP
- Radial Network
- Surrogate Optimization
- cost minimization
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