Research on Cross-Regional Energy and Reserve Dispatch Method Considering Wind Energy Uncertainty

XJTU 2024 CSUC Submission11 Authors

31 Mar 2024 (modified: 03 Apr 2024)XJTU 2024 CSUC SubmissionEveryoneRevisionsBibTeXCC BY 4.0
Keywords: Dynamic programming, Linear programming, Renewable energy integration, Hydrogen Energy Storage, Energy system optimization
TL;DR: This study develops a method for cross-regional energy dispatch considering wind uncertainty, enhancing efficiency and reliability through optimization strategies.
Abstract: This study delves into advanced optimization strategies for planning and scheduling cross-regional energy systems, with a focus on Hydrogen Energy Storage Systems (HESS). Addressing the variability and unpredictability of renewable energy sources, notably wind and solar power, it employs dynamic programming (DP) and linear programming to enhance the operational efficiency, reliability, and adaptability of interconnected energy networks. The research develops robust optimization models that facilitate seamless integration of renewable energy into the grid, promoting a sustainable and resilient energy future. It offers theoretical insights and practical guidance for the energy sector, showcasing the application of DP and linear programming in overcoming the challenges of renewable energy integration.
Submission Number: 11