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author:

Chen, F. (Chen, F..) [1] | Yan, X. (Yan, X..) [2] | Shao, Z. (Shao, Z..) [3] | Li, Y. (Li, Y..) [4] | Zheng, X. (Zheng, X..) [5]

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Scopus PKU CSCD

Abstract:

The energy flow coupling of integrated energy system is getting closer. Meanwhile,the strong uncertainty of renewable energy and load demand bring challenges to the energy flow analysis of system. Therefore,an affine interval energy flow algorithm of the integrated electricity and natural gas system (IEGS) is proposed,which preserves the characteristics of noise elements in the calculation results of affine energy flow,and the influence degree of independent uncertain elements on state variables of system through noise element coefficient is analyzed. The affine models and energy flow equations of electricity and natural gas subsystems are established. The prediction-correction affine energy flow algorithm of IEGS based on the region contraction idea is proposed. The solution domain of state variable is conservatively predicted according to sensitivity,and the optimal model is constructed to compress and correct solution domain. Moreover,the distributed iterative method of multi-energy flow is adopted to solve the model,which does not need to consider the multi-energy flow calculation sequence in the complex coupling system. Finally,the simulative results verify the advantages of the proposed method in terms of conservatism and computational efficiency. Furthermore,the influence of uncertain element on state variables of system is quantitatively analyzed. © 2024 Electric Power Automation Equipment Press. All rights reserved.

Keyword:

affine interval energy flow integrated electricity and natural gas system multi-energy flow algorithm uncertainty analysis

Community:

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

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Source :

Electric Power Automation Equipment

ISSN: 1006-6047

Year: 2024

Issue: 5

Volume: 44

Page: 19-27and35

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: 1

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