Experimental data for one-day-ahead predictions of power balance in PV-based grid-tied micogrids

1287 39 17189 5 61170 document 17189 Hyrbid Microgrid Data.csv application/csv fa8a51aef0d0bdc538ae11954c1e4663 MD5 123812 2023-06-12 10:35:06 https://researchdata.bath.ac.uk/1287/1/Hyrbid%20Microgrid%20Data.csv 1287 1 1 application/csv other en public cc_by

Hyrbid Microgrid Data.csv

data archive 13819 disk0/00/00/12/87 2025-07-03 10:56:48 2025-07-05 04:52:11 2025-07-03 10:56:48 data_collection show Asef Pedram pa696@bath.ac.uk 0000-0003-3264-7303 University of Bath TRUE Experimental data for one-day-ahead predictions of power balance in PV-based grid-tied micogrids EA0070 ED0070 ED0080 ED0100 GM0040 KJ0050 dept_elec_eng Microgrid, Energy Management, Power Systems, EV Infrastructure, Power Demand, Power Supply, Predictions, Loading All measured quantities use the standard SI units. FP refers to false positives in the detection of faults. This dataset consists of measurements that indicate the state and performance of a grid-tied microgrid for supplying energy resources to Internet of Things (IoT) devices. This microgrid includes as input 3.2 kWp solar photovoltaic (PV) generation, and uses a lead-acid battery energy storage system (BESS) to supply energy to devices representing both critical and non-critical controllable loads. The measurements include PV input voltage and power; battery voltage, power, capacity, charging and discharge current; and output voltage, power (active and apparent) and frequency. The dataset is useful for demonstrating the resilience of the microgrid to various scenarios. 2023-06-12 University of Bath public RightsHolder University of Bath European Commission (EC) https://doi.org/10.13039/501100000780 KEEP/644 AutoPower Full details of the microgrid from which this dataset derives may be found in the paper "SIEMS: A Secure Intelligent Energy Management System for Industrial IoT applications". In summary, the microgrid includes a PV system consisting of 18 Suntech STP175S-24/Ac modules which have been individually wired to reconfigure the PV field from the laboratory. The BESS consists of two Hewlett–Packard Power Trust II A1357 A battery packs, each with 12 units of 12 V, 8 Ah batteries. A supervisory control and data acquisition (SCADA) unit detects and diagnoses faults, and mitigates their effects through structural redundancies. The server is an Ammonit Meteo-40 data logger with 12-bit ADC and 22 channels, and an HTTPS Web configuration interface, ethernet output through RS485, data encryption, and compatibility with SCADA systems. The experiment was performed on a Windows 10 64-bit OS server with Python 3.6.4, an eight-core Intel Core i7 4 GHz CPU and 16 GB RAM. https://researchportal.bath.ac.uk/en/publications/2093cfef-2a88-44bd-a2f5-682ad3f5ebaf en 1 10.15125/BATH-01287 https://doi.org/10.1109/TII.2022.3165890 pub open Dataset