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author:

Chen, F. (Chen, F..) [1] (Scholars:陈飞雄) | Zheng, X. (Zheng, X..) [2] | Shao, Z. (Shao, Z..) [3] (Scholars:邵振国) | Lin, Y. (Lin, Y..) [4] | Yan, X. (Yan, X..) [5]

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EI Scopus

Abstract:

The compressor is a key component of the integrated electricity and gas systems. The position of its operational point within the operational domain significantly impacts the safe and stable functioning of the entire system. Meanwhile, its model non-convexity significantly increases the difficulty of solving the optimal power-gas flow. A dynamic optimal power-gas flow convexification algorithm considering the operation domain is proposed based on the accurate compressor modeling and different transmission characteristics of the power and natural gas systems. First, a 3D compressor operation domain model is constructed based on the mapping relationship between the operating parameters and the state variables, and the convex envelope relaxation of the operation domain is realized through the hyperplanes. Then, a dynamic optimal power-gas flow model considering the different transmission characteristics is developed, a mixed integer second-order cone convex reformulation of the model is realized, and a convexification algorithm based on dynamic linearization and tightening convex envelope is proposed. Finally, results demonstrate the effectiveness of the proposed model, indicating that the proposed algorithm outperforms the sequential cone programming algorithm in both computational accuracy and efficiency. ©2024 Chin.Soc.for Elec.Eng.

Keyword:

compressor operation domain convex envelope integrated electricity and gas system optimal power-gas flow second-order cone relaxation

Community:

  • [ 1 ] [Chen F.]Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 2 ] [Zheng X.]Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 3 ] [Shao Z.]Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 4 ] [Lin Y.]Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 5 ] [Yan X.]Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China

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Proceedings of the Chinese Society of Electrical Engineering

ISSN: 0258-8013

Year: 2024

Issue: 14

Volume: 44

Page: 5548-5561

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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