Abstract
In this study, an application of Manta Ray Foraging Optimization (MRFO) algorithm is demonstrated for PV parameter extraction. The MRFO is utilized to extract the parameters of both single diode and double diode model R.T.C. France silicon solar cell. The algorithm is easy to implement with less computational time. The MRFO optimizer is compared to Artificial Bee Optimization (ABO) and Flower Pollination Algorithms (FPA) algorithms. The results demonstrated the ability of MRFO for parameter extraction.
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE 16th International Conference on Compatibility, Power Electronics, and Power Engineering, CPE-POWERENG 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665496780 |
| DOIs | |
| State | Published - 2022 |
| Externally published | Yes |
| Event | 16th IEEE International Conference on Compatibility, Power Electronics, and Power Engineering, CPE-POWERENG 2022 - Birmingham, United Kingdom Duration: 29 Jun 2022 → 1 Jul 2022 |
Publication series
| Name | 2022 IEEE 16th International Conference on Compatibility, Power Electronics, and Power Engineering, CPE-POWERENG 2022 |
|---|
Conference
| Conference | 16th IEEE International Conference on Compatibility, Power Electronics, and Power Engineering, CPE-POWERENG 2022 |
|---|---|
| Country/Territory | United Kingdom |
| City | Birmingham |
| Period | 29/06/22 → 1/07/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Double Diode Model
- PV parameters extraction
- Single Diode Model
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