Optimizing Distributed Energy Resources in Microgrid SCUC through Seq2Seq Scheduling Algorithms

Zuhaib Nishtar; NA Li; Muhammad Zahid; Abdul Razzaque Soomro; Jamil Afzal

doi:10.22581/muet1982.3098

Zuhaib Nishtar College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, Hubai Province, China
NA Li College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, Hubai Province, China
Muhammad Zahid College of Electrical and Electronics Engineering, Huazhong University of Science and Technology, China
Abdul Razzaque Soomro College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang, China
Jamil Afzal College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang, China

DOI: https://doi.org/10.22581/muet1982.3098

Abstract

In order to optimize Distributed Energy Resources (DERs) inside a microgrid's Security-Constrained Unit Commitment framework, this study investigates the use of Seq2Seq (Sequence-to-Sequence) scheduling methods (SCUC). There is a growing consensus that microgrids are an important part of the future of the electric grid because of the advantages they provide in terms of reliability, renewable energy integration, and overall efficiency. In the context of complicated SCUC issues, efficient scheduling and optimization of DERs are essential for realizing their full potential. Seq2Seq models, a kind of deep learning approach, have shown impressive performance in several applications requiring sequence prediction. Uncertainty in renewable energy production, energy demand forecasts, and security limitations are all addressed in this work as Seq2Seq algorithms are applied to microgrid SCUC. Significant gains in economic efficiency, ecological viability, and compliance with security constraints have been shown. This study lays the way for the development of more effective, sustainable, and resilient energy infrastructure by contributing to the advancement of the area of microgrid optimization.