The use of Solar Power Plants (PLTS) due to greenhouse gas emissions is now increasing. It is feared that the increased use of this PKTS could result in disturbances that cause fires. This is the background to research by doctoral students from the Department of Electrical Engineering FTUI, DTE FTUI, and Putu Agus Aditya Pramana.
At the doctoral promotion open session, Putu Agus presented his dissertation entitled “Modeling Hot Spot Monitoring Systems in PLTS Using Catadioptric Devices”. This promotional session took place in Makara 04 Smart Meeting Room, 1st Floor of the FTUI Dean Building, Wednesday (21/6). In his research, Putu Agus researched a model of a hotspot detection system on PLTS using catadioptric devices which are expected to be able to contribute to preventing degradation and potential fires in large-scale Solar Power Plants (PLTS).
“In reality, the Photovoltaic (PV) Module in the Solar Power Plant (PLTS) system often experiences disturbances in the form of hotspots when operating in the field. The current detection method takes a long time and it is difficult to find the coordinates of hotspots, especially in PLTS areas that are This can result in widespread disturbances, such as starting a fire at PLTS and causing degradation of the module. For this reason, this study describes the mathematical modelling of monitoring and detection methods for hotspots at PLTS using catadioptric devices (CD) which have the potential to perform rapid detection and be sustainable,” said Putu Agus.
Putu Agus also said, “The mathematical model created utilizes two object images from different CD positions to estimate the hot spot coordinates. Then, experiments were carried out to validate the model’s accuracy and see the effect of parameter variations. In addition, case study simulations on monitoring the PLTS system with a large area are also carried out to illustrate monitoring of hotspots on PLTS with a layout resembling real conditions.”
The projection simulation from this study shows that the mathematical model built can be used to determine the coordinates of hotspots with small measurement errors. From the results of the case study, it was found that nine parameter combinations produced PLTS images that were symmetrical and did not overlap where the image ratio was more influenced by camera position than focal length. In addition, the minimum requirement for sensors is determined by the length of the centre of the farthest PV mini-grid image to monitor all PV mini-grid lines.
The simulation of determining the hot spot coordinates also found that the parameters affect the measurement error of the average prediction of the coordinates and the gradient of the error for each pair of axes. The results of the case study show that the position of hot spots can be estimated with the worst percentage error (PE) of less than 10% with the mean absolute percentage error (MAPE), average absolute error (MAE), and root mean square error (RMSE) in acceptable value. In addition, sensitivity patterns can be used to monitor CD conditions.
Dean of FTUI, Prof. Dr. Heri Hermansyah, S.T., M.Eng., Ph.D., said “This research when implemented in the field can be carried out by continuing to develop the modelling system used. Continue to explore the potential for using artificial intelligence can also be done by determining the centroid of the image of the disturbance object. as well as evaluating the process of the emergence of various other disturbances that can occur from the use of this PLTS,” he explained.
Doctor Putu Agus Aditya Pramana was declared to have graduated as the 156th Doctor from the Department of Electrical Engineering (DTE) FTUI and the 503rd Doctor from FTUI. The Doctoral Promotion Session was chaired by the Dean of FTUI, Prof. Dr. Heri Hermansyah, S.T., M.Eng., IPU and chaired by the Promoter, Prof. Ir. Rinaldy Dalimi, M.Sc., Ph.D., and Co-Promoter Prof. Dr. Ir. Rudy Setiabudy, DEA., and several Board of Examiners, Prof. Dr. Ir. Iwa Garniwa, M.K., M.T., Dr.-Ing., Budi Sudiarto, S.T., M.T., Ir. Chairul Hudaya, S.T., M.Eng., Ph.D., IPM., Prof. Dr. Ir. Surjosatyo, M. Eng., Dr. Ir. Andhika Prastawa, MS.EE.
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Faculty of Engineering, Universitas Indonesia