33 and 136-bus test system data for explainable reinforcement learning

This comprehensive dataset comprises multiple files, encompassing essential information on various aspects of power systems. It includes the active and reactive power consumption data for both the 33- and 136-bus test systems, along with the resistance and reactance values of the distribution lines, and the network structure.In addition to this valuable data, the dataset also features a second type containing feasible reconfiguration actions for the 33- and 136-bus systems. These actions provide insights into optimizing and adjusting the configuration of the power distribution network.Lastly, the third type of data is dedicated to capturing the actions of a reinforcement learning agent operating within the 33- and 136-bus test systems under diverse load conditions. This particular aspect showcases the agent's adaptability and decision-making abilities in response to changing power demands.Together, this dataset offers a comprehensive and rich resource for researchers, engineers, and practitioners working in the field of power systems and reinforcement learning, facilitating advanced studies and the development of innovative solutions for efficient and reliable power grid management.