IMPLEMENTATION AND EVALUATION OF A 3.3 kWp IoT-BASED PHOTOVOLTAIC MICROGRID-INTERACTIVE CONFIGURATION
Prof. Waluyo, ST., MT., Andre Widura, ST., MT. dan Febrian Hadiatna, ST., MT.
Recently, PV-grid integrated power generations are being intensively promoted, involved monitoring systems and inverters. Thus, two important issues are monitored parameters and inverter efficiency. Therefore, this research used IoT-based monitoring and recording system for implementation and evaluation of 3.3 kWp PV micro-grid-interactive configuration, integrated into the nominal 220-volt network. It comprises a hybrid inverter, protection modules, an IoT-based monitoring facility, and four batteries. Some new ideas were more monitoring parameters, including statistical analyses and sorting power flow-based inverter efficiencies as well as additional solar module scenarios of economic analysis. The results showed that the estimated generated and actual-generated energies within 40 days were 596.60 kWh and 550.00 kWh. The total load consumed, grid exported and imported energies, and the battery charged, and discharge energies were 263.28 kWh, 278.10 kWh, 7.70 kWh, 45.20 kWh, and 38.70 kWh, respectively. The CF, PR, and system efficiency were 17.36%, 84.8%, and 12.83% respectively as performance analysis. The typical inverter efficiencies were 98.03%, 98.03%, 93.81%, 98.01%, 98.05%, and 91.67% for six power flow categories. According to the first scenario of additional solar modules, the PI, IRR, NPV, PBP, and COE were 2.1, 5.46%, US$ 348.66, 11.7 years, and US$ cent 10.28/kWh respectively. The typical temperatures were 47°C, 31°C, and 25°C respectively for the inverter, radiator, and battery. The PV-supplied power was the highest, while the battery-supplied power was the lowest. The radiator temperature was high correlations with the PV voltage, PV current, PV power, inverter current, and inverter power.
INDEX TERMS energy, inverter efficiency, micro-grid-interactive, monitored parameter, performance analysis