KU-HMG1: A Dataset of a Hybrid Micro-Grid Coupled with Photovoltaic-panel, Wind-turbine and Natural Gas Generator (For Payra area, Bangladesh).
Authors’ have designed and simulated a hybrid AC-DC micro-grid for a geographical area of Bangladesh, Payra (22.1493° N, 90.1352° E) aiming to the economical electricity supply. The design was held using a popular simulation software, “Homer Pro”. In the micro-grid, solar photovoltaic panel, wind turbine, and Natural gas generator were used as sources and 100 household’s AC load, and 30 Electric vehicle’s DC load as consumers. Solar Global Horizontal Irradiance, wind speed, hourly annual load demand were the corresponding input parameters. In order to utilize the generated power, the load demand has been simulated differently by increasing and decreasing it to some extent, such as 10%, 5% and 2.5% more and less respectively. Finally, there arise 7 datasets including the original and the 6 varied load scenarios. The dataset has total 8761 instance of data where, each set has 14 data samples. Data file contents: Data 1:: Payra_Original_load.csv: Contains raw output data corresponds to the original load demand of Payra, collected from the micro-grid simulation. This file has 8762 set of data where, each set having 14 data samples from the simulation output. Data arrangement is described below: Column 1: Date and time of data recording in the format of DD-MM-YY [hh]:[mm]. Time is in 24-hour format. Column 2: Output power data of the flat plate photovoltaic panel in the "kW" unit. Column 3: Output power data of the Northern Power NPS 60-24 wind turbine in the "kW" unit. Column 4: Output power data of the Autosize Genset Natural gas generator in the "kW" unit. Column 5: Output power data of the Autosize Genset Natural gas generator Fuel consumption in the "m-3" unit. Power values have a maximum of seven decimal places. Column 6: Data for the total electrical load served in the "kW" unit. Column 7: Data for percentage penetration of renewable energy sources. Column 8: Output power data of the Excess Electricity Production in the "kW" unit. Column 9: Output power data of the total renewable energy sources in the "kW" unit. Column 10: Output power data of the Inverter used in the model in the "kW" unit. Column 11: Output power data of the Rectifier, used in the model in the "kW" unit. Column 12: Output power data of the CELLCUBEÂ® FB 20-130 Battery charge in the "kW" unit. Column 13: Output power data of the CELLCUBEÂ® FB 20-130 Battery discharge in the "kW" unit. Column 14: Data for percentage state of charge of the CELLCUBEÂ® FB 20-130 Battery. Data 2:: Payra_10%more_load.csv, Data 3:: Payra_10%less_load.csv, Data 4:: Payra_5%more_load.csv, Data 5:: Payra_5%less_load.csv, Data 6:: Payra_2.5%more_load.csv, and Data 7:: Payra_2.5%less_load.csv :: Contains raw output data that corresponds to the (10% more, 10% less, 5% more, 5%less, 2.5% more, 2.5% less load demand respectively) of Payra, collected from the micro-grid simulation, having the same shape and data arrangement as before.