International Journal of Power Electronics and Drive Systems (IJPEDS) Vol. 15, No. 4, December 2024, pp. 2631~2638 ISSN: 2088-8694, DOI: 10.11591/ijpeds.v15.i4.pp2631-2638  2631 Journal homepage: http://ijpeds.iaescore.com Solar power plant 618.8 kWp monitoring correction on the Fusion application Sindak Hutauruk 1 , Pandapotan Siagian 2 , Reinhard A. Sitinjak 1 1 Department of Electrical Engineering, Faculty of Engineering, Universitas HKBP Nommensen, Medan, Indonesia 2 Department of Computer, Faculty of Electrical Engineering, Institut Teknologi DEL, North Sumatera, Indonesia Article Info ABSTRACT Article history: Received Apr 1, 2024 Revised Jul 21, 2024 Accepted Jul 24, 2024 Monitoring of energy produced by the solar power plant (SPP) with a capacity of 618.8 kWp at HKBP Nommensen University in Medan is carried out using the FusionSolar application. This SPP energy management application includes displaying yield, energy consumption, energy exports, and SPP energy imports. The amount of energy displayed using the FusionSolar application is compared with the amount of energy resulting from manual calculations based on power data displayed on the alternating current (AC) combiner panel from 3-phase inverters. This comparison was carried out over seven days of measurements. It produced an average difference of 5.779%, with a correction value of 0.942, so the energy reading resulting from the FusionSolar application must be multiplied by this correction value. Keywords: Correction value Energy FusionSolar Inverter energy Solar power plant This is an open access article under the CC BY-SA license. Corresponding Author: Sindak Hutauruk Department of Electrical Engineering, Faculty of Engineering, Universitas HKBP Nommensen UHN Campus, St. Sutomo, Medan 20234, Indonesia Email: sindak@uhn.ac.id 1. INTRODUCTION The solar power plant or SPP used at HKBP Nommensen University produces 618.8 kWp installed on rooftop of the building as seen in Figure 1 [1]-[5]. Monitoring of the power produced by the SPP is displayed using the FusionSolar application [6]-[8], which displays power yield, power consumption, power export, and power imports. Yield is the amount of energy produced by SPP in 1 day, power consumption is the amount of energy used by the load in 1 day, power export is the amount of energy transferred to the state electricity company (PLN) (excess energy produced by SPP), and import power is the amount of energy taken from PLN to meet the power shortage produced by SPP. Figure 2 illustrates power export to PLN where the SPP produces 800 kWp of power while the load power is 600 kWp, so excess power of 200 kWp is exported to PLN [9]-[13]. Figure 3 illustrates power imports from PLN, where the SPP produces 600 kWp while the load power is 800 kWp. To meet the load power, power is imported from PLN to the load [14], [15]. Exporting and importing electric power is carried out automatically via the automatic transfer switch (ATS). All power exported and imported from SPP to PLN or vice versa is displayed on the kWh meter so that SPP and PLN know the power exported and imported, respectively. The recording of the power produced by the SPP is displayed using the solar Fusion application. The power recording in the solar Fusion application must be compared with the recording carried out manually to obtain a correction factor for the recording carried out with the solar Fusion application. Power monitoring can be done using internet of thing or IoT via a microcontroller [12], [16]-[22]. This research uses the FusionSolar application, which can be seen on the panel at the power plant or Android via internet of things or IoT. This application displays the results of power, power consumption, power export,