PySDDP: An Open-Source Python Tool Applied to the Operation Planning Problem in the Age of Energy Transition

• Published in: 2023 58th International Universities Power Engineering Conference (UPEC) pp. 1 - 6
• Main Authors: Silva, Amanda P., Marcato, Andre L. M., Castro, Alessandro L., Pinto, Diogo B., Cunha, Camila T. S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 30-08-2023
• Subjects: Data models; Libraries; open-source; operating planning; pandas; Planning; Power engineering; Power system dynamics; Python; Robustness; Software; Sthocastic Dual Dynamic Programming
• DOI: 10.1109/UPEC57427.2023.10294355

There is a strong movement towards energy transition in the current context of large-scale power systems world-wide. In this dynamic scenario, the existence of computational tools capable of providing an environment that work as an interactive laboratory becomes essential for engineering education. PySDDP is a free Python computational tool applied to the operation planning of large-scale power systems and is available through the PyPI and GitHub repositories. PySDDP's name comes from Sthocastic Dual Dynamic Programming, one of the most popular algorithms applied to solve long-term hydro-thermal operating planning. PySDDP has mechanisms for manipulating all data used to solve the operation planning problem of Brazilian official models. However, it can friendly receive contributions from third parties to include data from energy systems of other countries. Moreover, its implementation in Python makes the tool easy to understand and allows easy extension with third-party libraries.