Journal
IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 36, Issue 4, Pages 3817-3820Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2021.3067203
Keywords
Compressors; Steady-state; Pipelines; Power systems; Natural gas; Wind farms; Performance evaluation; Benders decomposition; integrated electricity-gas system; optimal dispatch; piecewise linearization
Categories
Funding
- National Natural Science Foundation of China [52007105, PESL-00352-2020]
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This study presents a new Benders decomposition-based algorithm for optimizing the operation of an integrated electricity-gas system (IEGS). The algorithm features a refined decomposition structure with linear subproblems that can be solved in parallel. Case studies confirm the higher computational efficiency of the proposed algorithm compared to existing methods.
Optimally operating an integrated electricity-gas system (IEGS) is significant for the energy sector. However, the IEGS operation model's nonconvexity makes it challenging to solve the optimal dispatch problem in the IEGS. This letter proposes a new Benders decomposition-based (IBD) algorithm catering to a commonly used steady-state dispatch model of the IEGS. This IBD algorithm leverages a refined decomposition structure where the subproblems are linear and ready to be solved in parallel. We analytically compare our IBD algorithm with an existing Benders decomposition algorithm and a typical piecewise linearization method. Case studies have substantiated the higher computational efficiency of our IBD algorithm.
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