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JACIII Vol.27 No.5 pp. 812-821
doi: 10.20965/jaciii.2023.p0812
(2023)

Research Paper:

SEP Optimization of Power System Location and Timing Module Based on MLE-KNN Synthesis Algorithm

Yawei Xu, Wei Wang, Jia Zhou, Zhihua Zhu, and Changzheng Yao

State Grid Qingyang Electric Power Supply Company
Qingyang, Gansu 745000, China

Corresponding author

Received:
July 29, 2022
Accepted:
May 8, 2023
Published:
September 20, 2023
Keywords:
power system, timing and positioning service, BeiDou navigation system, spherical error probability, MLE-KNN optimization algorithm
Abstract

To ensure the safe operation of the power system, it is necessary to monitor and manage all kinds of power facilities. Real-time power monitoring can play a role in the early warning of geographical disasters. At the transmission end, the state detection and fault location of transmission lines are related to the normal operation of the power system. The precise time synchronization of the power system can be guaranteed through the satellite positioning time service, so that the time of various power operation actions is consistent. The accuracy can reach several microseconds, which provides a basis for the analysis of power grid operation. In this paper, by installing BeiDou functional modules in power equipment and developing the BeiDou operation platform for the distribution network, the precise management of power timing and positioning is realized by docking with the geographic information systems platform of the power grid. The three-dimensional sphere error probability (SEP) algorithm is selected to evaluate the positioning error data. Based on the three traditional SEP calculation methods, the maximum likelihood estimation algorithm is optimized and improved, which can achieve nanosecond synchronization accuracy. It can also be applied to other precision of synchronization scenarios of the power system to meet the development needs of the future clock system of the power system. Through the simulation of experimental data and comparison with other algorithms, the accuracy is verified and the reliable estimation of parameters is realized. Considering the information loss caused by dimension reduction evaluation, the simulation analysis in this paper is compared with other methods, and the accuracy is significantly improved. The power system positioning and timing module developed in this paper can not only be used in the power system but also has a certain reference and application value for other devices in the same industry that need timing and positioning services.

SEP optimization of power timing

SEP optimization of power timing

Cite this article as:
Y. Xu, W. Wang, J. Zhou, Z. Zhu, and C. Yao, “SEP Optimization of Power System Location and Timing Module Based on MLE-KNN Synthesis Algorithm,” J. Adv. Comput. Intell. Intell. Inform., Vol.27 No.5, pp. 812-821, 2023.
Data files:
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Last updated on Jun. 03, 2024