Anas Mujahid This email address is being protected from spambots. You need JavaScript enabled to view it.1 and Mohammad Saif ur Rehman2

1Key Laboratory for Physical Electronics and Devices of the Ministry of Education & Shaanxi Key Lab of Information Photonic Technique, Xi’an Jiaotong University, Xi’an 710049, China
2Key Laboratory for Physical Electronics and Devices of the Ministry of Education, HPM Antenna wireless energy transmission and microwave measurement, Xi’an Jiaotong University, Xi’an 710049, China


 

Received: January 7, 2021
Accepted: January 31, 2021
Publication Date: August 1, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202108_24(4).0005  


ABSTRACT


Power generation and transmission effectiveness of energy systems have always been impacted around the globe. An imbalanced load of different devices on whole grids have factually conceived disastrous events across history. Traditionally, to resolve imbalances, blackouts are conducted to stabilize the supply to the remainder of the grid network. This paper presents the development of a remote energy measurement system using Arduino and sensors (C.T. & P.T.), to measure and protect user-end components from potential failure. Arduino records individual sensor data and transmits the relative data through Wi-Fi via a local internet connection to the base station. The unit also displays all related data such as energy consumption (Power), current, and voltage on an integrated display panel. This paper also proposes an improved energy meter design, capable of monitoring load prioritized electrical circuits for load management to avoid complete blackouts. The model is simulated, and energy meter hardware is developed, assessing the load shedding scheme using the proposed prioritization of load circuits.


Keywords: Energy meter, Potential transformer (P.T.), Current transformer (C.T.), Wi-Fi Module, Arduino, High priority load circuit board, Low priority load circuit board


REFERENCES


  1. [1] MS Shaikh, MM Ansari, MA Jatoi Sukkur IBA Journal of . . . , and Undefined 2020. Analysis of Underground Cable Fault Techniques Using MATLAB Simulation. Sukkur IBA Journal of Computing and Mathematical Sciences, 4(1):1–10, 2020.
  2. [2] Muhammad Mohsin Ansari, Chuangxin Guo, Muhammad Suhail Shaikh, Nitish Chopra, Inzamamul Haq, and Lingbing Shen. Planning for Distribution System with Grey Wolf Optimization Method. Journal of Electrical Engineering and Technology, 15(4):1485–1499, 2020.
  3. [3] Muhammad Mohsin Ansari, Chuangxin Guo, Muhammad Shaikh, Nitish Chopra, Bo Yang, Jun Pan, Yishun Zhu, and Xurui Huang. Considering the uncertainty of hydrothermal wind and solar-based DG. Alexandria Engineering Journal, 59(6):4211–4236, 2020.
  4. [4] Muhammad Mohsin Ansari, Chuangxin Guo, Muhammad Suhail Shaikh, Munsif Ali Jatoi, Caiming Yang, and Jianguang Zhang. A review of technical methods for distributed systems with distributed generation (DG). 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2019, 2019.
  5. [5] Su Sheng, Wang Yingkun, Long Yuyi, Li Yong, and Jiang Yu. Cyber attack impact on power system blackout. IET Conference Publications, 2011(580 CP):3B3–3B3, 2011.
  6. [6] Seong Yong Lee, Young Kwang Son, Hyung June Cho, Seung Ki Sul, Sang Hyun Kim, Nam Sook Kang, and Woo Jae Park. Simplified Thermal Model of Semiconductor Fuse for DC Distribution System. ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia, pages 2641–2646, 2019.
  7. [7] Navid Bayati, Hamid Reza Baghaee, Amin Hajizadeh, and Mohsen Soltani. A Fuse Saving Scheme for DC Microgrids with High Penetration of Renewable Energy Resources. IEEE Access, 8:137407–137417, 2020.
  8. [8] Phillip M. Fearnside. Dams in the Amazon: Belo Monte and Brazil’s hydroelectric development of the Xingu River Basin. Environmental Management, 38(1):16–27, jul 2006.
  9. [9] Lea Kosnik. The potential of water power in the fight against global warming in the US. Energy Policy, 36(9):3252–3265, 2008.
  10. [10] S Arun and Sidappa Naidu. Design and implementation of automatic meter reading system using GSM, ZIGBEE through GPRS. International Journal of Advanced Research in Computer Science and Software Engineering, 2(5):2277, 2012.
  11. [11] Amandeep Kaur, Jitender Kaushal, and Prasenjit Basak. Areview on microgrid central controller. Renewable and Sustainable Energy Reviews, 55:338–345, 2016.
  12. [12] Ulrich Greveler, Benjamin Justus, and Dennis Loehr. Multimedia content identification through smart meter power usage profiles. Computers, Privacy and Data Protection, (January):2010, 2012.
  13. [13] Pooja D Talwar and S B Kulkarni. IoT based energy meter. International Journal of Recent Trends in Engineering and Research, 3(3):61–65, 2017.
  14. [14] M. Carratu, M. Ferro, A. Pietrosanto, and V. Paciello. Smart Power Meter for the IoT. Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018, pages 514–519, jul 2018.
  15. [15] Bibek Kanti Barman, Shiv Nath Yadav, Shivam Kumar, and Sadhan Gope. IOT Based Smart Energy Meter for Efficient Energy Utilization in Smart Grid. 2nd International Conference on Energy, Power and Environment: Towards Smart Technology, ICEPE 2018, 2019.
  16. [16] Biyun Chen and Haoying Chen. Impact of Cyber System Failure on Cascading Blackout of Power Grid. 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings, pages 1–5, oct 2018.
  17. [17] W. Haizhu, L. Linhui, D. Dawei, G. Wenxin, Z. Ruifeng, and Z. Bo. Research and implementation of an intelligent analysis system for comprehensive outage management based on big data technology. International Conference on Power System Technology (POWERCON), Guangzhou, pages 4455–4461, 2018.
  18. [18] Uzair Ahmed Rajput, Khalid Rafique, Abdul Sattar Saand, Mujtaba Shaikh, and Muhammad Tarique. Modeling of arduino-based prepaid energy meter using GSM technology. International Journal of Advanced Computer Science and Applications, 9(5):445–449, 2018.
  19. [19] Maha Aboelmaged, Yasmeen Abdelghani, and Mohamed A.Abd El Ghany. Wireless IoT based metering system for energy efficient smart cites. Proceedings of the International Conference on Microelectronics, ICM, 2017- Decem:1–4, dec 2018.
  20. [20] Mihai Sanduleac, Catalin Lucian Chimirel, Mircea Eremia, Lucian Toma, Cristea Cristian, and Dorel Stanescu. Unleashing Smart Cities efficient and sustainable energy policies with IoT based Unbundled Smart Meters. 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies, EmergiTech 2016, pages 112–117, 2016.
  21. [21] Sarwar Shahidi, Md Abdul Gaffar, and Khosru M. Salim. Design and implementation of digital energy meter with data sending capability using GSM network. Proceedings of 2013 2nd International Conference on Advances in Electrical Engineering, ICAEE 2013, pages 203–206, 2013.