A security technology of power relay using edge computing

Zhongqing Sang; Kai Yang; Rencheng Zhang

doi:10.1371/journal.pone.0253428

A security technology of power relay using edge computing

PLoS One. 2021 Sep 2;16(9):e0253428. doi: 10.1371/journal.pone.0253428. eCollection 2021.

Authors

Zhongqing Sang¹, Kai Yang¹, Rencheng Zhang¹

Affiliation

¹ Key Laboratory of Process Monitoring and System Optimization for Mechanical and Electrical Equipment (Huaqiao University), Fujian Province University, Xiamen City, China.

Abstract

The purposes are to find the techniques suitable for the safety relay protection of intelligent substations and discuss the applicability of edge computing in relay protection. Regarding relay protection in intelligent substations, edge computing and optimized simulated annealing algorithm (OSAA) are combined innovatively to form an edge computing strategy. On this basis, an edge computing model is proposed based on relay fault traveling waves. Under different computing shunt tasks, OSAA can converge after about 1,100 iterations, and its computing time is relatively short. As the global optimal time delay reaches 0.5295, the corresponding computing time is 456.27s, apparently better than the linear search method. The proposed model can reduce the computing time significantly, playing an active role in the safe shunting of power relays. The simulation also finds that the voltage and current waveforms corresponding to the fault state of Phase A are consistent with the actual situations. To sum up, this model provides a reference for improving and optimizing intelligent substation relay protection.

Publication types

Research Support, Non-U.S. Gov't
Retracted Publication

MeSH terms

Algorithms
Cloud Computing
Computer Security*
Computer Simulation

Grants and funding

This study was supported by the Fujian Natural Science Foundation in the form of a grant awarded to ZS (No. 2018J05082), the Fujian Industry-University Cooperation Science & Technology Major Project in the form of a grant awarded to KY (No. 2016H6014), Quanzhou City Science & Technology Program of China in the form of a grant awarded to RZ (No. 2018C117R), and the Scientific Research Funds of Huaqiao University in the form of a grant awarded to ZS (No. 19BS103).