Advances in Energy Research
Volume 1, Number 2, 2013, pages 097-106
DOI: 10.12989/eri.2013.1.2.097
Evaluation of a FPGA controlled distributed PV system under partial shading condition
Ru-Min Chao, Shih-Hung Ko and Po-Lung Chen
Abstract
This study designs and tests a photovoltaic system with distributed maximum power point tracking (DMPPT) methodology using a field programmable gate array (FPGA) controller. Each solar panel in the distributed PV system is equipped with a newly designed DC/DC converter and the panel\'voltage output is regulated by a FPGA controller using PI control. Power from each solar panel on the system is optimized by another controller where the quadratic maximization MPPT algorithm is used to ensure the panel's output power is always maximized. Experiments are carried out at atmospheric insolation with partial shading conditions using 4 amorphous silicon thin film solar panels of 2 different grades fabricated by Chi-Mei Energy. It is found that distributed MPPT requires only 100ms to find the maximum power point of the system. Compared with the traditional centralized PV (CPV) system, the distributed PV (DPV) system harvests more than 4% of solar energy in atmospheric weather condition, and 22% in average under 19% partial shading of one solar panel in the system. Test results for a 1.84 kW rated system composed by 8 poly-Si PV panels using another DC/DC converter design also confirm that the proposed system can be easily implemented into a larger PV power system. Additionally, the use of NI sbRIO-9642 FPGA-based controller is capable of controlling over 16 sets of PV modules, and a number of controllers can cooperate via the network if needed.
Key Words
module integrated converter (MIC); field programmable gate array (FPGA); partial shading; maximum power point tracking (MPPT); quadratic maximization; distributed photovoltaic system
Address
(1) Ru-Min Chao, Shih-Hung Ko and Po-Lung Chen: Department of Systems and Naval Mechatronics Engineering, National Cheng Kung University, Tainan, Taiwan 701, ROC;
(2) Ru-Min Chao: Research Center for Energy Technology and Strategy, National Cheng Kung University, Tainan, Taiwan 701, ROC.