MPPT Algorithm Based on Artificial Bee Colony for PV System
| Autor: | Samir Kouro, Jose Rodriguez, Carlos Restrepo, Catalina González-Castaño |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
General Computer Science
Maximum power principle Computer science 020209 energy 020208 electrical & electronic engineering Photovoltaic system General Engineering Hardware-in-the-loop simulation artificial bee colony hardware in the loop testing 02 engineering and technology Maximum power point tracking Artificial bee colony algorithm photovoltaic system Control theory 0202 electrical engineering electronic engineering information engineering General Materials Science lcsh:Electrical engineering. Electronics. Nuclear engineering Digital signal controller Energy source lcsh:TK1-9971 Voltage reference |
| Zdroj: | IEEE Access, Vol 9, Pp 43121-43133 (2021) |
| ISSN: | 2169-3536 |
| Popis: | Energy structures from non-conventional energy source has become highly demanded nowadays. In this way, the maximum power extraction from photovoltaic (PV) systems has attracted the attention, therefore an optimization technique is necessary to improve the performance of solar systems. This article proposes the use of ABC (artificial bee colony) algorithm for the maximum power point tracking (MPPT) of a PV system using a DC-DC converter. The procedure of the ABC MPPT algorithm is using data values from PV module, the P-V characteristic is identified and the optimal voltage is selected. Then, the MPPT strategy is applied to obtain the voltage reference for the outer PI control loop, which in turn provides the current reference to the predictive digital current programmed control. A real-time and high-speed simulator (PLECS RT Box 1) and a digital signal controller (DSC) are used to implement the hardware-in-the-loop system to obtain the results. The general system does not have a high computational cost and can be implemented in a commercial low-cost DSC (TI 28069M). The proposed MPPT strategy is compared to the conventional perturb and observe method, results show the proposed method archives a much superior performance. |
| Databáze: | OpenAIRE |
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