Multi-verse Optimization-based MPPT Design for PV-TEG System
A centralized hybrid photovoltaic thermoelectric generator (PV-TEG) system shows multiple local maximum power points (LMPPs) under a partial shading condition (PSC). The multi-verse optimization (MVO) is used for the maximum power point tracking (MPPT) of the PV-TEG system under PSC. MVO can effecti...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2023-11-01
|
| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202210127 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | A centralized hybrid photovoltaic thermoelectric generator (PV-TEG) system shows multiple local maximum power points (LMPPs) under a partial shading condition (PSC). The multi-verse optimization (MVO) is used for the maximum power point tracking (MPPT) of the PV-TEG system under PSC. MVO can effectively identify the unique global maximum power point (GMPP) among multiple LMPPs by balancing global search and local search, avoiding search results trapped in LMPP and improving generation efficiency and energy utilization. The simulation results of the example show that the MPPT based on the MVO algorithm can collect higher power in a shorter time and achieve the minimum power fluctuation. |
|---|---|
| ISSN: | 1004-9649 |