Abstract
Photovoltaic (PV) grid support functionality (frequency support) can be accomplished with the aid of flexible power point tracking (FPPT) technology. However, the convergence rate of FPPT algorithms needs to be fast, to provide grid support under transients. To fulfil this purpose, a Newton's method-based (NM-B) FPPT algorithm is proposed in this paper that offers quadratic convergence, which is a higher convergence rate compared to the existing methods. Moreover, the search algorithm requires only a single initialization point, thus eliminating the difficulty of setting up the search boundary as in the case of the binary search-based and secant method-based (SM-B) FPPT algorithms. Simulation validation is performed for the proposed NM-B FPPT algorithm and the results are compared with the SM-B FPPT algorithm.
| Original language | English |
|---|---|
| Title of host publication | IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9781665435543 |
| DOIs | |
| Publication status | Published - Oct 13 2021 |
| Externally published | Yes |
| Event | 47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021 - Toronto, Canada Duration: Oct 13 2021 → Oct 16 2021 |
Publication series
| Name | IECON Proceedings (Industrial Electronics Conference) |
|---|---|
| Volume | 2021-October |
Conference
| Conference | 47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021 |
|---|---|
| Country/Territory | Canada |
| City | Toronto |
| Period | 10/13/21 → 10/16/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
ASJC Scopus Subject Areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
Keywords
- Active power control
- flexible power point tracking
- Newton's method
- photovoltaic (PV) systems
