A Novel Online Inductance Identification of Traction Network and Adaptive Control Method for Cascaded H-Bridge Converter

Chen, Shaoyong; Yu, Anchi; Shi, Yunming; Zhao, Shengzhi; Liu, Jianqiang

doi:10.1109/tpel.2021.3137586

Cited by 4 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From Equation (7), each line of X is the same measurement point, and each column is the same sampling time.…”

Section: Wind Power Matrixmentioning

confidence: 99%

“…However, the load rate zoning is greatly affected by human factors and the evaluation results are uncertain. For the power grid with large-scale wind power centralized access, the literature [7] constructs network topology entropy and power flow entropy based on entropy theory and analyzes the power grid state from the perspective of the influence of wind power fluctuation on power flow entropy. Additionally, for the above-mentioned situations, the literature [8] takes weighted power flow entropy, network topology entropy, wind wave dynamic entropy and other entropy physical indexes as inputs and constructs the mapping relationship between key physical quantity indexes and the power grid state through neural networks.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Grid Status Analysis Method with Large-Scale Wind Power Access Using Big Data

Liú¹,

Kang²,

Luo³

et al. 2023

Energies

View full text Add to dashboard Cite

Targeting the problem of the power grid facing greater risks with the connection of large-scale wind power, a method for power grid state analysis using big data is proposed. First, based on the big data, the wind power matrix and the branch power matrix are each constructed. Second, for the wind energy matrix, the eigenvalue index in the complex domain and the spectral density index in the real domain are constructed based on the circular law and the M-P law, respectively, to describe the variation of wind energy. Then, based on the concept of entropy and the M-P law, the index for describing the variation of the branch power is constructed. Finally, in order to analyze the real-time status of the grid connected to large-scale wind power, the proposed index is combined with the sliding time window. The simulation results based on the enhanced IEEE-33 bus system show that the proposed method can perform real-time analysis on the grid state of large-scale wind power connection from different perspectives, and its sensitivity is good.

show abstract

“…From Equation (7), each line of X is the same measurement point, and each column is the same sampling time.…”

Section: Wind Power Matrixmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%