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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lian, K.L. Jhang, J.H. Tian, I.S. |
| Copyright Year | 2011 |
| Abstract | Conventional maximum power point tracking (MPPT) methods such as perturb-and-observe (P&O) method can only track the first local maximum point and stop progressing to the next maximum point. MPPT methods based on particle swarm optimization (PSO) have been proposed to track the global maximum point (GMP). However, the problem with the PSO method is that the time required for convergence may be long if the range of the search space is large. This paper proposes a hybrid method, which combines P&O and PSO methods. Initially, the P&O method is employed to allocate the nearest local maximum. Then, starting from that point on, the PSO method is employed to search for the GMP. The advantage of using the proposed hybrid method is that the search space for the PSO is reduced, and hence, the time that is required for convergence can be greatly improved. The excellent performance of the proposed hybrid method is verified by comparing it against the PSO method using an experimental setup. |
| Starting Page | 626 |
| Ending Page | 633 |
| Page Count | 8 |
| File Size | 2508190 |
| File Format | |
| ISSN | 21563381 |
| Volume Number | 4 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Maximum power point trackers Voltage control Convergence Photovoltaic systems Particle swarm optimization Arrays partial shading Global optimization maximum power point tracking (MPPT) photovoltaic (PV) array |
| Content Type | Text |
| Resource Type | Article |
| Subject | Condensed Matter Physics Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering |
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