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author:

Chen, F. (Chen, F..) [1] | Wu, H. (Wu, H..) [2] | Shao, Z. (Shao, Z..) [3] | Yan, X. (Yan, X..) [4] | Chen, B. (Chen, B..) [5]

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Abstract:

Aiming at the problem that existing affine power flow methods are too conservative in complex systems, a high-order affine power flow algorithm and its recursion solution method are proposed. The proposed method defines an expanded affine form containing high-order partial deviations and applies it to affine power flow modeling. An affine power flow model based on recursion solution of high-order partial deviation coefficients is proposed to address the problem of excessive expansion of interval error resulting from the approximation of numerous nonlinear partial deviations. The proposed method employs the recursion solution limited to second-order coefficients of the original partial deviations, and then transforms the calculation of higher-order terms into the determination and calculation of the error partial deviation coefficients of injected power, ensuring the completeness of the solution while avoiding redundant calculations. Additionally, a conversion method between higher-order affine and interval solution is proposed to realize the affine-interval conversion containing higher-order partial deviations by utilizing complex affine polygons to assist the partial deviation coefficients fetching. Simulation on multiple test systems demonstrates that the proposed method exhibits superior convergence and lower conservatism. ©2025 Chin.Soc.for Elec.Eng.

Keyword:

affine power flow conservatism recursion solution uncertainty

Community:

  • [ 1 ] [Chen F.]Key Laboratory of Energy Digitalization, Fuzhou University, Fujian Province University, Fujian Province, Fuzhou, 350108, China
  • [ 2 ] [Wu H.]Key Laboratory of Energy Digitalization, Fuzhou University, Fujian Province University, Fujian Province, Fuzhou, 350108, China
  • [ 3 ] [Shao Z.]Key Laboratory of Energy Digitalization, Fuzhou University, Fujian Province University, Fujian Province, Fuzhou, 350108, China
  • [ 4 ] [Yan X.]Key Laboratory of Energy Digitalization, Fuzhou University, Fujian Province University, Fujian Province, Fuzhou, 350108, China
  • [ 5 ] [Chen B.]Key Laboratory of Energy Digitalization, Fuzhou University, Fujian Province University, Fujian Province, Fuzhou, 350108, China

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Proceedings of the Chinese Society of Electrical Engineering

ISSN: 0258-8013

Year: 2025

Issue: 12

Volume: 45

Page: 4608-4619

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 1

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