A security technology of power relay using edge computing

• Published in: PloS one Vol. 16; no. 9; p. e0253428
• Main Authors: Sang, Zhongqing, Yang, Kai, Zhang, Rencheng
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 02.09.2021; Public Library of Science (PLoS)
• Subjects: Algorithms; Analysis; Artificial intelligence; Automation; Biology and Life Sciences; Cloud Computing; Computational efficiency; Computer and Information Sciences; Computer Security; Computer Simulation; Computing time; Edge computing; Edge detection (Image processing); Electric vehicles; Electrical transmission; Electricity distribution; Engineering and Technology; Evaluation; Internet of Things; Investment analysis; Laboratories; Network security; Optimization; Physical Sciences; Relay; Research and Analysis Methods; Security; Simulated annealing; Simulation; Social Sciences; Substations; Time lag; Traveling waves; Waveforms; Wireless networks; China; Fujian China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0253428

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.