Development of Solar Power Generation Monitoring Systems for Research Studies
Keywords:
monitoring systems; solar power generation systems;, photovoltaic moduleAbstract
This paper presents the development of a solar power system measurement system for research studies. The system using LabVIEW with two DAQ NI USB-6008 economical models; 1) for load voltage and current signal of the two solar power generation systems and the temperature of the PV modules and 2) for the environmental signal, i.e., temperature, relative humidity, light intensity, wind speed, and solar radiation intensity. The block diagram for a program operation is designed in a while loop and performs mathematical functions on the signal received through the DAQ based on the output voltage of each measuring device and displayed on the front panel and can save various values at the specified time. The evaluation test results revealed that the proposed measurement system has an all-day error of not more than 3%, which can be used in a research study to appropriately compare the solar power generation performance system in the future.
Downloads
References
Ahmed, C. B., Kassas, M., & Ahmed, S. E. (2015). LabVIEW Based PV Panel Online Characteristics and Parameters Estimation. Procedia Computer Science, 52, 876–882. doi:10.1016/j.procs.2015.05.145
Chinomi, N., Leelajindakrairerk, M., Boontaklang, S., & Chompoo-Inwai, C. (2017). Design and implementation of a smart monitoring system of a modern renewable energy micro-grid system using a low-cost data acquisition system and LabVIEWTM program. Journal of International Council on Electrical Engineering, 7(1), 142–152. doi:10.1080/22348972.2017.1345226
Chivapansri, K. (2007). Graphic design of application with LabVIEW. Bangkok : SE-EDUCATION Public. (in Thai)
Fortes, R. R. A., Buzo, R. F., & de Oliveira, L. C. O. (2020). Harmonic distortion assessment in power distribution networks considering DC component injection from PV inverters. Electric Power Systems Research, 188, 106521. doi:10.1016/j.epsr.2020.106521
Isdawimah, Ismujianto, Oktariza, L. G., Frederik, A., & Loc, N. P. (2019). Investigation of Photovoltaic System parameters using LabVIEW in solar irradiance peak condition. Journal of Physics: Conference Series, 1364, 012065. doi:10.1088/1742-6596/1364/1/012065
LokeshReddy, M., Kumar, P. J. R. P., Chandra, S. A. M., Babu, T. S., & Rajasekar, N. (2017). Comparative study on charge controller techniques for solar PV system. Energy Procedia, 117, 1070–1077. doi:10.1016/j.egypro.2017.05.230
Motahhir, S., El Hammoumi, A., & El Ghzizal, A. (2019). The most used MPPT Algorithms: Review and the suitable low-cost embedded board for each Algorithm. Journal of Cleaner Production, 246, 118983. doi:10.1016/j.jclepro.2019.118983
Namhormchan, T., & Sareephattananon, A. (2014). PLC-based automatic control system of temperature and relative humidity in soilless culture greenhouse with an evaporative cooling system and fogging system. EAU Heritage Journal Science and Technology, 8(1), 98-111. (in Thai)
Namhormchan, T. (2015). Comparative study of enhanced power generation from PV Array under partial shading conditions. EAU Heritage Journal Science and Technology, 9(3), 25-34. (in Thai)
Namhormchan, T. (2018). Electric circuit 1. Pathum Thani: Eastern Asia University. (in Thai)
Namhormchan, T. (2021). Comparative study of enhanced power generation Photovoltaic Array under partial shading conditions using Magic Square Row Shifting Technique. EAU Heritage Journal Science and Technology, 15(2), 247-261. (in Thai)
Phonghirun, S., Sirininlakul, S., Phadungkit, K., Chorlumluk, P.& Boonlom, T. (2017). Effect of solar panel temperature on power output of concentrated solar system. Srinakharinwirot Science Journal, 33(2), 107-122. (in Thai)
Singh, P., & Ravindra, N. M. (2012). Temperature dependence of solar cell performance—an analysis. Solar Energy Materials and Solar Cells, 101, 36–45. doi:10.1016/j.solmat.2012.02.019
Venkateswari, R., & Rajasekar, N. (2020). Power enhancement of PV system via physical array reconfiguration based Lo Shu technique. Energy Conversion and Management, 215, 112885. doi:10.1016/j.enconman.2020.112885
Watjanatepin, N. (2015). Application of LabVIEW and compact data acquisition to study the behavior of the photovoltaic stand-alone energy system. Australian Journal of Basic and Applied Sciences, 9(special 32), 59-65.
Yadav, K., Kumar, B., & D., S. (2020). Mitigation of mismatch power losses of PV Array under partial shading condition using novel Odd Even Configuration. Energy Reports, 6, 427–437. doi:10.1016/j.egyr.2020.01.012
