Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
권호 표지
DOI QR코드

DOI QR Code

Smart meter data transmission device and power IT system using LTE and IoT technologies

LTE와 IoT 기술을 이용한 스마트미터 데이터 전송장치와 전력 IT 시스템

  • Kang, Ki-Beom (Department of Telecommunication Engineering, Jeju National University) ;
  • Kim, Hong-Su (Soombi) ;
  • Jwa, Jeong-Woo (Department of Telecommunication Engineering, Jeju National University) ;
  • Kim, Ho-Chan (Department of Electrical Engineering, Jeju National University) ;
  • Kang, Min-Jae (Department of Electronic Engineering, Jeju National University)
  • Received : 2017.08.25
  • Accepted : 2017.10.13
  • Published : 2017.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

A Smart Grid is a system that can efficiently use energy by exchanging real-time information in both directions between a consumer and a power supplier using ICT technology on an existing power network. DR(Demand response) is an arrangement in which electricity users can sell the electricity they save to the electricity market when the price of electricity is high or the power system is crisis. In this study, we developed a power meter data transmission device and power IT system that measure the demand information in real-time using a smart meter and transmit it to a cloud server. The power meter data transmission device developed in this study uses alight sensor connected to a Raspberry Pi 3 to measure the number of blinking lamps on the KEPCO meter per unit of power, in order to provide reliable data without any measurement errors with respect to the KEPCO power data. The power measurement data transmission device uses the standard communication protocol, OpenADR 2.0b. The measured data is transmitted to the power IT system, which consists of the VEN, VTN, and calculation program, via the LTE WiFi communication network and stored in its MySQL DB. The developed power measurement data transmission device issues a power supply instruction and performs a peak reduction DR when a power system crisis occurs. The developed power meter data transmission device has the advantage of allowing the user to adjust it every 1 minute, where as the existing smart metering time is fixed at once every 15 minutes.

스마트 그리드는 기존 전력망에 ICT기술을 접목하여 소비자와 전력 공급자 간 양방향으로 실시간 정보를 교환함으로써 에너지를 효율적으로 사용 할 수 있는 시스템이다. 수요반응(DR, Demand response)은 전기사용자가 전력시장 가격이 높거나 전력계통 위기일 때 절약한 전기를 전력시장에 판매하여 금전으로 보상받는 제도이다. 본 논문은 스마트 미터(Smart Meter)를 사용하여 실시간으로 수요 정보를 계측하고 이를 클라우드 서버로 전송하는 전력량 계측 데이터 전송장치와 전력 IT 시스템을 개발하였다. 본 논문에서 개발된 전력량 계측 데이터 전송장치는 한국전력 데이터와 측정 오차가 없는 신뢰성이 있는 데이터를 제공하기 위해 Raspberry Pi 3에 연결된 빛 센서를 이용하여 한국전력 계측기의 전력량 단위마다 깜박이는 램프의 횟수를 계측한다. 전력량 계측 데이터 전송 장치는 표준 통신 프로토콜인 OpenADR 2.0b를 사용한다. 계측된 데이터는 LTE, WiFi 통신망을 통해 VEN, VTN, 계산 프로그램으로 구성되는 전력 IT 시스템의 MySQL DB에 저장된다. 개발된 전력량 계측 데이터 전송 장치는 전력계통 위기가 발생할 때 급전지시를 내려 피크감축 DR을 실행한다. 개발한 전력량 계측 데이터 전송 장치는 기존 스마트 미터링의 계측시간이 15분으로 고정되는 것과 달리 사용자가 1분 단위로 조절할 수 있는 장점을 갖는다.

Keywords

References

  1. Korea Power Exchange, https://www.kpx.or.kr/
  2. Ruilong Deng, Zaiyue Yang, Mo-Yuen Chow, Jiming Chen, "A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches," IEEE Transactions on Industrial Informatics, vol. 11, no. 3, pp. 570-582, 2015. DOI: https://doi.org/10.1109/TII.2015.2414719
  3. Chao Yang, Junmei Yao, Wei Lou, Shengli Xie, "On Demand Response Management Performance Optimization for Microgrids Under Imperfect Communication Constraints", IEEE Internet of Things Journal, vol. 4, no. 4, pp. 881-893, 2017. DOI: https://doi.org/10.1109/JIOT.2017.2708322
  4. E. H. Jeong, B. K. Lee, "A Design of ETDTP(Energy Theft Detection and Traceback Protocol) for AMI (Advanced Metering Infrastructure) of Smart Grid", pp. 535-550, Journal of Security Engineering, 2014. DOI: http://dx.doi.org/10.14257/jse.2014.12.09
  5. Y. S. Kim, H. M. Oh, S. S. Choi, "A Research on the Traffic of Smart Grid Communication Network Architecture based on Smart Meter", p.650-651, The Korean Institute of Communications and Information Sciences, 2015.
  6. Qie Sun, Hailong Li, Zhanyu Ma, Chao Wang, Javier Campillo, Qi Zhang, Fredrik Wallin, Jun Guo, "A Comprehensive Review of Smart Energy Meters in Intelligent Energy Networks," IEEE Internet of Things Journal, vol. 3, no. 4, pp. 464-479, 2016. DOI: https://doi.org/10.1109/JIOT.2015.2512325
  7. J. H. Kang, H. J. Lim, E. S. Lim, J. M. Lee, "Vision IoT based non-intrusive smart meter system", The Korean Institute of Communications and Information Sciences, 2017.
  8. openADR, http://www.openadr.org/
  9. Raspberrypi, https://www.raspberrypi.org/
  10. H. S. Kim, M. J. Kang, H. C. Kim, J. W. Jwa, C. J, Boo, "Auxiliary Electricity Meter and Control method thereof, and server of Auxiliary Electricity meter and control method thereof", The patent application 0081894, 2016.