Precise Clock Management Technology of Electric Power Meter

Abstract

This paper studies the precise clock management technology for the power consumption information collection system which demands precise requirements of the electric power meter clock. The causes of the clock deviation of the collection system and the problems caused by the clock deviation are analysed first; Then the key technologies for achieving accurate time synchronization are explained; Next, the master station and terminal time synchronization algorithm is designed. Only two NLP synchronizations are required to obtain a high accuracy time deviation, and the accuracy of the algorithm is demonstrated through a test of an example. Finally, the electric power meter time adjustment scheme using a combination of broadcast time adjustment and ESAM point-to-point time adjustment is designed to achieve high accuracy and low error, which has high reliability and practicality.

KEYWORDS:

• Communication delay
• Collection system
• Clock management
• Electric power meter
• Precise timing algorithm
• Power consumption information

Additional information

Funding

This work is supported by Headquarters Science and Technology Guide Project of SGCC (523HQ200054), National Natural Science Foundation of China (No.61304104, No.61004118), Chongqing technology innovation and application special key project under Grants (No. cstc 2019jscx-mbdxX0015).

Notes on contributors

Shangmin Qi

Shangmin Qi received his master’s degree in electrical engineering from the School of Electrical Engineering of Xinjiang University in 2014. At present, he is engaged in the verification of measuring instruments in Xinjiang electric power marketing service centre of State Grid. His main research field is the application of new marketing business. Email: [email protected]

Yongchao Wang

Yongchao Wang received his master’s degree from school of automation, Beijing University of Science and Technology in 2015. He is currently engaged in quality inspection of measuring instruments and new marketing business research in Marketing Service Centre of State Grid Xinjiang electric power company. Email: [email protected]

Wei Zhang

Wei Zhang received his master’s degree in control engineering from school of electrical engineering, Xinjiang University in 2015. He is currently engaged in verification of measuring instruments in Xinjiang electric power marketing service centre of State Grid. His main research field is reliability test of electric energy metering equipment. Email: [email protected]

Ning Li

Ning Li is currently a senior engineer and the director of Quantity Transmission and Quality Inspection Department of Marketing Service Centre of State Grid Xinjiang electric power company. His main research fields are failure mechanism of watt hour metre and detection method of new generation intelligent watt hour metre. Email: [email protected]

Shenghui Guo

Shenghui Guo received his PhD degree in control theory and control engineering from Tongji University, China, in 2016. He is currently an associate professor with the College of Electronics and Information Engineering, Suzhou University of Science and Technology, China, and also a post-doctor with the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, China. His research interests include observer design, model-based fault detection, and fault tolerant control.

Darong Huang

Darong Huang received his BS degree in applied mathematics from Hubei National Institute, Hubei, China in 2000, an MS degree in applied mathematics from Hubei National Institute, Hubei, China in 2000, an MS degree in applied mathematics from Liaoning University, Liaoning, China, in 2003 and a PhD degree in control theory and control engineering from Chongqing University, Chongqing, China, in 2006. Since 2011, he has been a professor with the College of Information Science and Engineering, Chongqing Jiaotong University, Chongqing, China. His research interests include fault diagnosis and fault-tolerant control of dynamic systems, analysis and design of complex systems, big data analysis of transport systems, reliability engineering and so on. Email: [email protected]