Datasets
Standard Dataset
33-, 119-, and 136-bus system data for reinforcement learning-based distribution network reconfiguration
- Citation Author(s):
- Submitted by:
- Nastaran Gholizadeh
- Last updated:
- Mon, 08/28/2023 - 17:13
- DOI:
- 10.21227/m49t-q808
- License:
- Categories:
- Keywords:
Abstract
The 33-, 119-, and 136-bus datasets are commonly used in the field of power systems and electrical engineering to train reinforcement learning-based algorithms for distribution network reconfiguration. Distribution network reconfiguration involves altering the topology of the electrical distribution grid by opening or closing switches to optimize certain objectives, such as minimizing power losses, improving voltage profiles, or enhancing overall system efficiency. This process is essential for maintaining a reliable and cost-effective power distribution system.
This dataset includes the hourly active and reactive power consumption data for the 33-, 119-, and 136-bus test systems, the resistance and reactance of the lines and the network topology information. Additionally, it includes all feasible topologies for these test systems for network reconfiguration.
This dataset includes the hourly active and reactive power consumption data for the 33-, 119-, and 136-bus test systems, the resistance and reactance of the lines and the network topology information. Additionally, it includes all feasible topologies for these test systems for network reconfiguration.
Comments
Request for dataset
Hello, I would like to ask for the IEEE 33 active and reactive hourly consumption dataset.
I would like to request the dataset.
Thank you