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author:

Li, Yimin (Li, Yimin.) [1] | Shao, Zhenguo (Shao, Zhenguo.) [2] (Scholars:邵振国) | Zhang, Yan (Zhang, Yan.) [3] | Xu, Zhezhuang (Xu, Zhezhuang.) [4] (Scholars:徐哲壮) | Chen, Feixiong (Chen, Feixiong.) [5] (Scholars:陈飞雄)

Indexed by:

EI

Abstract:

The uncertain energy flow analysis theory is important for planning and operation optimization in integrated heat and electricity system (IHES). In order to study the impact of uncertain factors on the IHES, an interval multi-energy flow algorithm based on affine arithmetic was proposed in this paper. First, taking into account the uncertainty of the load fluctuation, an electricity affine model and a heat affine model were established respectively. Further, considering the combined heat and power unit and heat pump, a coupled component affine model was built. Moreover, the affine energy flow of the heat networks based on Back/Forward sweep method was proposed, based on this, the decomposition iterative of the affine multi-energy flow was further proposed of IHES. Finally, the completeness and conservativeness of the proposed method were verified by comparison with Monte Carlo simulation method and interval method in IEEE-33 electricity network and 23-node heat network system. The impact of uncertain factors on state variables were analyzed through the ability of affine tracking noise symbols. © 2022 IEEE.

Keyword:

Intelligent systems Iterative methods Monte Carlo methods Uncertainty analysis

Community:

  • [ 1 ] [Li, Yimin]Fuzhou University Fujian Smart Electrical Engineering Technology Research Center, Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 2 ] [Shao, Zhenguo]Fuzhou University Fujian Smart Electrical Engineering Technology Research Center, Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 3 ] [Zhang, Yan]Fuzhou University Fujian Smart Electrical Engineering Technology Research Center, Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 4 ] [Xu, Zhezhuang]Fuzhou University Fujian Smart Electrical Engineering Technology Research Center, Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 5 ] [Chen, Feixiong]Fuzhou University Fujian Smart Electrical Engineering Technology Research Center, Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China

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Year: 2022

Page: 2106-2110

Language: English

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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