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author:

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

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Abstract:

To deal with the optimal dispatch problem of combined electric and heat system considering multiple uncertainties, this paper proposes a two-layer affine optimization method, which can reduce the conservativeness of the dispatch scheme, improve the economy of the optimization results, and reveal the influence mechanism of uncertainty sources. First, a linear energy transmission model is established, and an interval linear programming method is developed to solve the upper-layer uncertain unit commitment problem. In this way, the interval expansion caused by nonlinear operations is avoided. Then, the linear energy transmission model considering network loss is established by Taylor expansion. Furthermore, the system operation constraints are defined based on affine arithmetic, and the lower-layer uncertain economic dispatch problem is solved by the affine optimization method. Additionally, the proposed method can keep track of uncertainty sources and quantify their influence on economic dispatch problem. Finally, the simulations are carried out on the modified 33-nodes Barry Island. The results show that the proposed method can effectively reduce the conservativeness of the dispatch scheme and the operating cost of the system compared to the interval optimization method. ©2023 Chin.Soc.for Elec.Eng.

Keyword:

affine arithmetic combined electric and heat system day-ahead dispatch hierarchical optimization noise symbols tracking

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 ] [Cai M.]Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 3 ] [Li Y.]Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 4 ] [Guo Y.]Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 5 ] [Shao Z.]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: 19

Volume: 43

Page: 7467-7482

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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