Abstract
The main problem with today’s power consumption is to determine which load is consuming much power so that it can be disconnected to reduce high electrical bills. The main concern of today’s researches is to find an alternative way of installing a grid-connected PV system or other renewable resources free of harmful gases so that they add up to the electrical grids to provide enough power. This study presents how to synchronize a photovoltaic system with a grid to save money and electrical load management based on IoT technology. However, current sensing is used to sense the current when loads are connected and send the instantaneous value of current to the Arduino Uno which is programmed to find the total power consumed and then ESP 8266 WiFi module uploads the data to the Thingspeak for analysis and monitoring where utility company or users can access the information about the usage of electricity since many PV systems are in remote areas. A simulation of an inverter with PLL circuit for generating the desired signal waveform and frequency is done in MATLAB/Simulink and the objective was successfully achieved which showed that the output voltage is a sinusoidal waveform of the same frequency and same phase angle and a current sensor can be installed at the output of the inverter to sense the power generated for analysis and monitoring of the proposed PV system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Sakhare, R.V., Deshmukh, B.T.: On electric power management using zigbee wireless sensor network. Int. J. Adv. Eng. Technol. 4(1), 492–500 (2012)
Ghaderi, D., Maroti, P.K., Sanjeevikumar, P., Holm-Nielsen, J.B., Hossain, E., Nayyar, A.: A modified step-up converter with small signal analysis-based controller for renewable resource applications. Appl. Sci. 10(1), 102 (2020)
Solanki, A., Nayyar, A.: Green internet of things (G-IoT): ICT technologies, principles, applications, projects, and challenges. In: Kaur, G., Tomar, P. (eds.) Handbook of Research on Big Data and the IoT, pp. 379–405. IGI Global, Hershey (2019)
Khan, M.W., et al.: Synchronization of photo-voltaic system with a grid. J. Electr. Electron. Eng. (IOSR-JEEE) 7(4), 01–05 (2013)
Yang, Y., Blaabjerg, F.: Synchronization in single-phase grid-connected photovoltaic systems under grid faults. In: 2012 3rd IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG). IEEE (2012)
Srinivasan, M., Ravikumar, R.: Synchronization and smooth connection of solar photovoltaic generation to utility grid. Int. J. Electr. Eng. 9(1), 51–56 (2016)
Munde, S.S., et al.: Automatic load management of electric power by use of zigbee technology. Int. J. Electr. Electron. Res. 3(2), 106–110 (2015)
Leonardo Energy: Importance of load management, January 2009. http://www.leonardo-energy.org
Dike, D.O., Ogu, R.E., Uzoechi, L.O., Ezenugu, I.A.: Development of an internet of things based electricity load management system. Am. J. Eng. Res. (AJER) 5(8), 199–205 (2016)
IEA-PVPS, Cumulative Installed PV Power, October 2005. http://www.iea-pvps.org
Shahidehpour, M., Schwartz, F.: Don’t let the sun go down on PV. IEEE Power Energy Mag. 2(3), 40–48 (2004)
Blaabjerg, F., Chen, Z., Kjaer, S.: Power electronics as efficient interface in dispersed power generation systems. IEEE Trans. Power Electron. 19(5), 1184–1194 (2004)
Blaabjerg, F., Teodorescu, R., Liserre, M., Timbus, A.V.: Overview of control and grid synchronization for distributed power generation systems. IEEE Trans. Ind. Electron. 53, 1398–1409 (2006)
Chang, K.-C., Chu, K.-C., Wang, H.-C., Lin, Y.-C., Pan, J.-S.: Agent-based middleware framework using distributed CPS for improving resource utilization in the smart city. Future Gener. Comput. Syst. 108, 445–453 (2020). https://doi.org/10.1016/j.future.2020.03.006
Chu, K.-C., Horng, D.-C., Chang, K.-C.: Numerical optimization of the energy consumption for wireless sensor networks based on an improved ant colony algorithm. IEEE Access 7, 105562–105571 (2019)
Chang, K.-C., Chu, K.-C., Wang, H.-C., Lin, Y.-C., Pan, J.-S.: Energy saving technology of 5G base station based on internet of things collaborative control. IEEE Access 8, 32935–32946 (2020)
Sheril, A.A., Babu, M.R.: Synchronization control of grid-connected photovoltaic system. Middle East J. Sci. Res. 25(4), 864–870 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Turatsinze, E. et al. (2021). Study of Advanced Power Load Management Based on the Low-Cost Internet of Things and Synchronous Photovoltaic Systems. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020. AISI 2020. Advances in Intelligent Systems and Computing, vol 1261. Springer, Cham. https://doi.org/10.1007/978-3-030-58669-0_49
Download citation
DOI: https://doi.org/10.1007/978-3-030-58669-0_49
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-58668-3
Online ISBN: 978-3-030-58669-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)