Mathematical model and mechanism of TSC curve for distribution networks

Xiao, Jun; Cai, Zhongwei; Liang, Ziyu; She, Buxin

doi:10.1016/j.ijepes.2021.107812

Cited by 7 publications

(15 citation statements)

References 16 publications

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“…The proposed decoupling and dimension reduction method in this paper is applied to accelerate the calculation of TSC curve [28], which is a typical DSSR-associated calculation. To verify the effectiveness of the proposed method, the result is compared with that calculated by using the existing algorithm in ref.…”

Section: Application: Tsc Curve Calculationmentioning

confidence: 99%

“…To verify the effectiveness of the proposed method, the result is compared with that calculated by using the existing algorithm in ref. [28]. It should be mentioned that the algorithm in ref.…”

Section: Application: Tsc Curve Calculationmentioning

confidence: 99%

“…It should be mentioned that the algorithm in ref. [28] is also used to calculate the TSC curve after using the proposed method to decouple the case network into multiple sub-networks.…”

Section: Application: Tsc Curve Calculationmentioning

confidence: 99%

“…After sampling the strict boundary, TSC curve is plotted by taking the sampling number as abscissa and the total feeder load as ordinate [28]. The TSC curves of sub-networks were calculated; then the TSC curve "summary after decoupling" was obtained, the detailed data and process is in Appendix B.…”

Section: Block Matrix Scale Dimensionmentioning

confidence: 99%

“…For the 36-feeder case, in the computation environment described in 5.1 of this paper, the TSC curve cannot be calculated due to the lack of memory by using the method in ref. [28]. After using the proposed method, the time for TSC curve calculation is 4.946 ms and the maximum requested memory is 1kB.…”

Section: Conflict Of Interest Statementmentioning

confidence: 99%

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Decoupling and dimension reduction method for distribution system security region

Xiao,

Fan,

Jiang

2023

IET Energy Syst Integration

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The application of the security region methodology in a practical distribution system with large scale normally requires large computer memory and high computation time. To overcome this problem, this article proposes a decoupling and dimension reduction method, which can significantly accelerate the calculation of distribution system security region (DSSR) and is important for the application of the DSSR theory in large‐scale distribution systems. First, the definition of DSSR dimension reflecting the size of solution space and the time complexity is proposed. And the solution algorithm for DSSR dimension is also given. Second, a decoupling and dimension reduction method suitable for the analysis of DSSR is proposed. Following the method, an incidence matrix can be obtained from the DSSR expressions, which can be further divided into multiple block matrices. According to the feeder combinations of the block matrices, the distribution system can be decoupled into multiple sub‐networks for more efficient analysis. Finally, a 10kV distribution network is used in case study to validate the proposed method. The results for a time‐consuming calculation, that is, TSC curve calculation, show that the proposed method can reduce the computation time significantly, making the time‐consuming calculation suitable for the analysis of large‐scale cases.

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Section: Application: Tsc Curve Calculationmentioning

confidence: 99%

Section: Application: Tsc Curve Calculationmentioning

confidence: 99%

“…It should be mentioned that the algorithm in ref. [28] is also used to calculate the TSC curve after using the proposed method to decouple the case network into multiple sub-networks.…”

Section: Application: Tsc Curve Calculationmentioning

confidence: 99%

Section: Block Matrix Scale Dimensionmentioning

confidence: 99%

Section: Conflict Of Interest Statementmentioning

confidence: 99%

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