Abstract
To cope with the challenges of complex modeling, difficult solutions, and low efficiency brought by a significant amount of renewable energy units to the power system dispatch (PSD), a deep reinforcement learning method for unit commitment with renewable energy generators is proposed. Firstly, a PPO-based reinforcement learning method is utilized to promptly and effectively resolve the unit commitment. A mathematical optimization technique is employed to solve the security-constrained economic dispatch, considering the “N-1” security check. By integrating these two methods, the decision-making efficiency is enhanced while ensuring the security of the result. The proposed method’s efficiency is affirmed by case simulation.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
