A method for channel modeling and parameter calculation of 5 conductor three-core armored cable

Yan Wang; Jialin Zhang; Chongcheng Yao

doi:10.1117/12.2641273

4 August 2022 A method for channel modeling and parameter calculation of 5 conductor three-core armored cable

Yan Wang, Jialin Zhang, Chongcheng Yao

Proceedings Volume 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022); 123061P (2022) https://doi.org/10.1117/12.2641273
Event: Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 2022, Changchun, China

Abstract

The medium voltage distribution network three-core buried armored cable can be regarded as a mutually coupled 5- conductor transmission line model in actual operation. For the problems of strong coupling between each conductor and difficult calculation of parameter matrix, a calculation method of 5-conductor three-core cable parameters is proposed. First, based on the loop analysis method, the loop impedance matrix of the three-core cable is derived, the calculation method of each loop impedance matrix is introduced, and the 7-conductor cable impedance parameter matrix is obtained through the loop transformation matrix; then, based on the principle of electrostatic induction, the 7-conductor cable conductance parameter matrix is obtained by inverting the potential coefficient matrix; on this basis, the 5-conductor cable parameter model is derived using the Gaussian elimination method; Finally, the to verify the correctness of the proposed method, the parameters are calculated using the mathematical model in this paper and the three-core cable model in PSCAD software, respectively. The simulation results show that the proposed method can accurately calculate the parameters of the 5-conductor three-core cable.

Citation Download Citation

Yan Wang, Jialin Zhang, and Chongcheng Yao "A method for channel modeling and parameter calculation of 5 conductor three-core armored cable", Proc. SPIE 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 123061P (4 August 2022); https://doi.org/10.1117/12.2641273

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