Abstract
With the in-depth development of smart grid and the continuous improvement of the demand for power supply reliability, the scale of power communication network is expanding rapidly, the power communication equipment is diversified, the proportion of traditional power communication services such as voice, stability and protection is declining, and the remote control business, information management business and intelligent communication business of transmission and distribution network are increasing. The development of power communication will also usher in a qualitative leap. Based on the analysis of the intelligent on-line monitoring system of telecommunication general electrical equipment, this paper discusses the functional requirements of the intelligent on-line monitoring system, the hardware structure of the monitoring terminal, and the design and implementation of the database server. Through the remote on-line condition monitoring algorithm of the communication tower, the TCP throughput and delay data of openflow switch and goose switch are tested, The results show that the measured TCP throughput of openflow switch is about 500 mbit/s, and the maximum is no more than 570 mbit/s. The measured TCP throughput is in line with the reality. The TCP throughput of goose Ethernet switch in the same network environment is obviously not as large as that of openflow switch. Therefore, the throughput performance of openflow switch is good; For the high-speed switch, the delay of 1518 bytes and below is required to be less than 1ms in the least ideal case. Openflow switch has smaller delay, so it is feasible to apply it to the on-line monitoring system of substation equipment.
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This work was supported by State Grid Liaoning Electric Power Co., Ltd. Science and technology project funding (Project No.: 2020YF-73).
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Cui, X., Xia, F., Meng, F., Huang, X., An, X. (2023). Intelligent On-Line Monitoring System of General Electrical Equipment Based on Remote Communication. In: Hung, J.C., Chang, JW., Pei, Y. (eds) Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence. IC 2023. Lecture Notes in Electrical Engineering, vol 1044. Springer, Singapore. https://doi.org/10.1007/978-981-99-2092-1_21
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