Abstract
In this study, three swarm intelligence (SI)-based maximum power point tracking (MPPT) techniques for photovoltaic generation systems (PGSs) operating under partially shaded conditions (PSCs) are investigated. The compared methods include particle swarm optimization (PSO), firefly algorithm (FA) and cuckoo search (CS). Simulated results for 252 different shading patterns will be provided and some conclusion will be made. This study presents reference information for scholars planning to carry out research in this field.
| Original language | English |
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| Title of host publication | ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9788957083130 |
| State | Published - 05 2019 |
| Externally published | Yes |
| Event | 10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia - Busan, Korea, Republic of Duration: 27 05 2019 → 30 05 2019 |
Publication series
| Name | ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia |
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Conference
| Conference | 10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Busan |
| Period | 27/05/19 → 30/05/19 |
Bibliographical note
Publisher Copyright:© 2019 The Korean Institute of Power Electronics (KIPE).
Keywords
- Maximum power point tracking
- Partially shaded conditions
- Photovoltaic generation systems
