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Comparative analysis of evolutionary-based maximum power point tracking for partial shaded photovoltaic
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 12 No. 6 (2022)
- ISSN
- 2722-2578, 2088-8708
- Published
- 2022-12-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
The characteristics of the photovoltaic module are affected by the level of solar irradiation and the ambient temperature. These characteristics are depicted in a V-P curve. In the V-P curve, a line is drawn that shows the response of changes in output power to the level of solar irradiation and the response to changes in voltage to ambient temperature. Under partial shading conditions, photovoltaic (PV) modules experience non-uniform irradiation. This causes the V-P curve to have more than one maximum power point (MPP). The MPP with the highest value is called the global MPP, while the other MPP is the local MPP. The conventional MPP tracking technique cannot overcome this partial shading condition because it will be trapped in the local MPP. This article discusses the MPP tracking technique using an evolutionary algorithm (EA). The EAs analyzed in this article are genetic algorithm (GA), firefly algorithm (FA), and fruit fly optimization (FFO). The performance of MPP tracking is shown by comparing the value of the output power, accuracy, time, and tracking effectiveness. The performance analysis for the partial shading case was carried out on various populations and generations.
Collaboration network of the authors
31 authors · 87 co-authorship links · 48 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universitas Airlangga
- Politeknik Siber dan Sandi Negara
- Telkom University
- Universiti Malaysia Perlis
- Chittagong University of Engineering & Technology
- University of Malaya
- American International University-Bangladesh
- Other organisations
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Safaa Najah Saud Al-Humairi | Affiliation unknown | 3 |
| Arya Dwi Kustiawan | Universitas Airlangga | 3 |
| Muhammad Rafi Nabil Arsalan | Universitas Airlangga | 3 |
| Rizki Putra Prastio | Universitas Airlangga | 3 |
| Brahmantya Aji Pramudita | Telkom University | 2 |
| Herlambang Setiadi | Universitas Airlangga | 2 |
| Sigit Dani Perkasa | Universitas Airlangga | 2 |
| Nayu Nurrohma Hidayah | Universitas Airlangga | 2 |
| Ahmad Ashari | Universitas Gadjah Mada | 1 |
| Whisnu Yudha Aditama | Politeknik Siber dan Sandi Negara | 1 |
| Ira Rosianal Hikmah | Politeknik Siber dan Sandi Negara | 1 |
| Hazlie Mokhlis | University of Malaya | 1 |
| Mohd Rafi Adzman | Universiti Malaysia Perlis | 1 |
| Muhd Hafizi Idris | Universiti Malaysia Perlis | 1 |
| Mohammad Faridun Naim Tajuddin | Universiti Malaysia Perlis | 1 |
| Muhammad Abdillah | Universitas Pertamina | 1 |
| Rezi Delfianti | Institut Teknologi Sepuluh Nopember | 1 |
| Mohammad Aldrin Arifin | Telkom University | 1 |
| Porman Pangaribuan | Telkom University | 1 |
| Saad Mekhilef | University of Malaya | 1 |
| Aditta Chowdhury | Chittagong University of Engineering & Technology | 1 |
| Monirul Islam Miskat | Chittagong University of Engineering & Technology | 1 |
| Tofael Ahmed | Chittagong University of Engineering & Technology | 1 |
| Shameem Ahmad | American International University-Bangladesh | 1 |
| Md. Rifat Hazari | American International University-Bangladesh | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.