Abstract
A maximum-power-point tracking (MPPT) algorithm is essential in all controllers of solar power electronic converters due to the nonlinear current-voltage characteristics of a photovoltaic generator. One of the most widely utilized algorithms are perturbative MPPT techniques such as perturb and observe and incremental conductance methods due to their simple implementation with relatively good tracking performance. However, in order to optimize the performance of such algorithms, the design parameters - sampling frequency and perturbation step size - need to be designed in respect to interfaced power electronic converter. Recent studies have provided state-of-art MPP-tracking design rules for single and two-stage grid-connected PV systems. Unfortunately, the analysis of those studies does not provide analytical results for PV power transient response under feedback-controlled converters. This paper provides reduced-order transfer functions for the converters equipped with either I-type or PID-type controllers in order to approximate the maximum sampling or perturbation frequency for MPP-tracking algorithms. The analysis reveals the factors affecting the transient behavior similarly as in open-loop converter providing valuable tools for optimizing MPP-tracking perturbation frequency design.
| Original language | American English |
|---|---|
| Title of host publication | ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings |
| ISBN (Electronic) | 9781509007370 |
| DOIs | |
| State | Published - 1 Jan 2016 |
| Event | 2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 - Milwaukee, United States Duration: 18 Sep 2016 → 22 Sep 2016 |
Publication series
| Name | ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings |
|---|
Conference
| Conference | 2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 |
|---|---|
| Country/Territory | United States |
| City | Milwaukee |
| Period | 18/09/16 → 22/09/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Energy Engineering and Power Technology
- Control and Optimization
Fingerprint
Dive into the research topics of 'Determining maximum MPP-tracking sampling frequency for input-voltage-controlled PV-interfacing converter'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver