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author:

Li, Y. (Li, Y..) [1] | Shao, Z. (Shao, Z..) [2] (Scholars:邵振国) | Huang, Y. (Huang, Y..) [3] | Cai, M. (Cai, M..) [4] | Chen, F. (Chen, F..) [5] (Scholars:陈飞雄)

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EI Scopus PKU CSCD

Abstract:

The traditional interval energy flow algorithm of integrated energy system (IES) can only analyze the results of the combined action of multiple uncertainty factors, but fails to quantify the transmission process of each uncertainty factor and its influence on the system state variables. To deal with this issue, a system uncertainty model based on affine arithmetic is established and an affine multi-energy flow algorithm for integrated heat and electricity system (IHES) is proposed in this paper. First, an affine temperature transmission model is established based on the temperature exponential equation simplified by Taylor expansion, and further an affine model of the IHES is established considering the uncertainty of the conversion efficiency of the coupling elements. On this basis, considering the pipeline flow constraint, the heat network affine energy flow algorithm based on Back/Forward sweep method is proposed. Furthermore, the parallel iteration method for the affine energy flow of the IHES is proposed by taking the coupling element power as the boundary condition. Finally, based on the IEEE-33 system and 23-node heat network systems, the conservative advantages of the proposed method are verified; and the degree of influence of different node load variation on mass flow rate and temperature, and the interaction effects between subsystems are analyzed. ©2023 Chin.Soc.for Elec.Eng.

Keyword:

affine arithmetic integrated heat and electricity system interval energy flow multi-energy flow algorithm uncertainty

Community:

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

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Source :

Proceedings of the Chinese Society of Electrical Engineering

ISSN: 0258-8013

CN: 11-2107/TM

Year: 2023

Issue: 9

Volume: 43

Page: 3429-3443

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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