A WeChat-Based System of Real-Time Monitoring and Alarming for Power Grid Operation Status under Virtual Private Cloud Environment

被引:0
作者
Lian, Chunjie [1 ]
Wei, Hua [1 ]
Bai, Xiaoqing [1 ]
Lyu, Zhongliang [1 ]
机构
[1] Guangxi Univ, Guangxi Key Lab Power Syst Optimizat & Energy Tec, Nanning 530004, Guangxi, Peoples R China
关键词
ARCHITECTURE; MODEL; MTTR; MTBF;
D O I
10.1155/2020/3186394
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The existing power grid alarm system using SMS (SMSAS) is complex and suffers some problems such as high latency in data transmission, low reliability, and poor economy. For solving these problems, this paper proposes a WeChat-based system under the virtual private cloud environment to achieve real-time monitoring and alarming for the power grid operation status (WMAS). For WMAS, the WeChat mini program (WMP) is adopted, and it has the dedicated data channel using the Https protocol, which is set up in the WMP and the web API to encrypt the data content to ensure the integrity of the data. Combined with virtual private cloud technology, the hardware resources are virtualized, and the proposed system has strong disaster recovery capability, which significantly improves the flexibility and reliability of the system. Compared with SMSAS, our simulation shows that the time from sending to receiving the information in the proposed system is reduced from 4.9 seconds to 172 milliseconds, with the latency reduced by 28 times. On the contrary, the reliability of the proposed system is as high as 99.9971%, and the annual failure time is 15.24 minutes, which is 380 times lower than 96.51 hours of the SMSAS. The proposed system has been implemented in the Lipu power system in Guangxi, China. More than one year of stable operation indicates that the proposed system is safe, reliable, flexible, and convenient with a bright prospect for future applications.
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页数:15
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共 36 条
[11]  
Hayati MAEAE, 2016, 2016 CONFERENCE OF BASIC SCIENCES AND ENGINEERING STUDIES (SCGAC), P152, DOI 10.1109/SGCAC.2016.7458021
[12]  
Hochgraf C, 2010, INT CONF SMART GRID, P167, DOI 10.1109/SMARTGRID.2010.5622038
[13]  
Kang T., 2010, P 2010 AS PAC POW EN, P1, DOI [10.1109/appeec.2010.5448947, DOI 10.1109/APPEEC.2010.5448947]
[14]   A Conflict-Free Replicated JSON']JSON Datatype [J].
Kleppmann, Martin ;
Beresford, Alastair R. .
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2017, 28 (10) :2733-2746
[15]   AVAILABILITY, MTBF AND MTTR FOR REPAIRABLE M OUT OF N SYSTEM [J].
KULLSTAM, PA .
IEEE TRANSACTIONS ON RELIABILITY, 1981, 30 (04) :393-394
[16]   Cluster analysis of wind turbine alarms for characterising and classifying stoppages [J].
Leahy, Kevin ;
Gallagher, Coim ;
O'Donovan, Peter ;
O'Sullivan, Dominic T. J. .
IET RENEWABLE POWER GENERATION, 2018, 12 (10) :1146-1154
[17]  
Li XL, 2015, IEEE ANN INT CONF CY, P1374, DOI 10.1109/CYBER.2015.7288144
[18]   Cloud Computing for Power System Simulations at ISO New England-Experiences and Challenges [J].
Ma, Feng ;
Luo, Xiaochuan ;
Litvinov, Eugene .
IEEE TRANSACTIONS ON SMART GRID, 2016, 7 (06) :2596-2603
[19]   A Tale of Two Fashions: An Empirical Study on the Performance of Native Apps and Web Apps on Android [J].
Ma, Yun ;
Liu, Xuanzhe ;
Liu, Yi ;
Liu, Yunxin ;
Huang, Gang .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2018, 17 (05) :990-1003
[20]   Data Lake Lambda Architecture for Smart Grids Big Data Analytics [J].
Munshi, Amr A. ;
Mohamed, Yasser Abdel-Rady I. .
IEEE ACCESS, 2018, 6 :40463-40471