Experimental data for one-day-ahead predictions of power balance in PV-based grid-tied micogrids
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.
Cite this dataset as:
Asef, P.,
2023.
Experimental data for one-day-ahead predictions of power balance in PV-based grid-tied micogrids.
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-01287.
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Data
Hyrbid Microgrid Data.csv
application/csv (123kB)
Creative Commons: Attribution 4.0
Creators
Pedram Asef
University of Bath
Contributors
University of Bath
Rights Holder
Documentation
Technical details and requirements:
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.
Additional information:
All measured quantities use the standard SI units. FP refers to false positives in the detection of faults.
Methodology link:
Asef, P., Taheri, R., Shojafar, M., Mporas, I., and Tafazolli, R., 2023. SIEMS: A Secure Intelligent Energy Management System for Industrial IoT applications. IEEE Transactions on Industrial Informatics, 19(1), 1039 - 1050. Available from: https://researchportal.bath.ac.uk/en/publications/siems-a-secure-intelligent-energy-management-system-for-industria.
Funders
European Commission (EC)
https://doi.org/10.13039/501100000780
AutoPower
KEEP/644
Publication details
Publication date: 12 June 2023
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-01287
URL for this record: https://researchdata.bath.ac.uk/1287
Related papers and books
Asef, P., Taheri, R., Shojafar, M., Mporas, I., and Tafazolli, R., 2023. SIEMS: A Secure Intelligent Energy Management System for Industrial IoT Applications. IEEE Transactions on Industrial Informatics, 19(1), 1039-1050. Available from: https://doi.org/10.1109/tii.2022.3165890.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Pedram Asef
Faculty of Engineering & Design
Electronic & Electrical Engineering
