Development of smart grid technology to maintain the functioning of photoelectric charging stations
DOI:
https://doi.org/10.15587/1729-4061.2021.235120Keywords:
photoelectric charging station, rechargeable battery, hybrid inverter, two-way counter Smart MeterAbstract
An integrated Smart Grid system has been developed for matching the production and consumption of electric power based on a prediction of changes in the battery capacity. Advanced decisions on the change in power transmission capacity have made it possible to regulate voltage in the distribution system by maintaining the power factor of the photoelectric charging station. Voltages at the input to the hybrid inverter and in the distribution system were measured to assess their ratio. Comprehensive mathematical and logical modeling of the photoelectric charging station was performed based on the mathematical substantiation of architecture and operation maintenance. A dynamic subsystem including such components as mains, a photoelectric module, a hybrid inverter, batteries, a two-way counter Smart Meter and a charger formed the basis of the proposed technological system. Time constants and coefficients of mathematical models of dynamics in terms of estimation of changes in the battery capacity and power factor of the photoelectric charging station were determined. A functional estimate of changes in the battery capacity and power factor of the photoelectric charging station was obtained. Maintenance of voltage in the distribution system was realized based on resulting operation data to estimate a change in the battery capacity. Advanced decision-making has made it possible to raise the power factor of the photoelectric charging station up to 40 % due to matching the electric power production and consumption. Maintenance of operation of the photoelectric charging station using the developed Smart Grid technology has enabled prevention of peak loading of the power system due to a 20 % reduction of power consumption from the network.
References
- Chaikovskaya, E. (2017). Development of energy-saving technology to support functioning of the lead-acid batteries. Eastern-European Journal of Enterprise Technologies, 4 (8 (88)), 56–64. doi: https://doi.org/10.15587/1729-4061.2017.108578
- Chaikovskaya, E. (2020). Complex mathematical modeling of heat pump power supply based on wind-solar network electrical system. Technology Audit and Production Reserves, 6 (1 (56)), 28–33. doi: https://doi.org/10.15587/2706-5448.2020.220269
- Bondarchuk, A. (2017). Development of the graphical-analytical method for calculating electric load at civilian objects. Eastern-European Journal of Enterprise Technologies, 4 (8 (88)), 4–9. doi: https://doi.org/10.15587/1729-4061.2017.103032
- Mak, D., Choeum, D., Choi, D.-H. (2020). Sensitivity analysis of volt-VAR optimization to data changes in distribution networks with distributed energy resources. Applied Energy, 261, 114331. doi: https://doi.org/10.1016/j.apenergy.2019.114331
- Xiqiao, L., Yukun, L., Xianhong, B. (2019). Smart grid service evaluation system. Procedia CIRP, 83, 440–444. doi: https://doi.org/10.1016/j.procir.2019.04.138
- Rostampour, V., Jaxa-Rozen, M., Bloemendal, M., Kwakkel, J., Keviczky, T. (2019). Aquifer Thermal Energy Storage (ATES) smart grids: Large-scale seasonal energy storage as a distributed energy management solution. Applied Energy, 242, 624–639. doi: https://doi.org/10.1016/j.apenergy.2019.03.110
- Saad, A. A., Faddel, S., Mohammed, O. (2019). A secured distributed control system for future interconnected smart grids. Applied Energy, 243, 57–70. doi: https://doi.org/10.1016/j.apenergy.2019.03.185
- Ferro, G., Laureri, F., Minciardi, R., Robba, M. (2019). A predictive discrete event approach for the optimal charging of electric vehicles in microgrids. Control Engineering Practice, 86, 11–23. doi: https://doi.org/10.1016/j.conengprac.2019.02.004
- Jordán, J., Palanca, J., del Val, E., Julian, V., Botti, V. (2021). Localization of charging stations for electric vehicles using genetic algorithms. Neurocomputing, 452, 416–423. doi: https://doi.org/10.1016/j.neucom.2019.11.122
- Jiao, Z., Lu, M., Ran, L., Shen, Z.-J. M. (2020). Infrastructure Planning of Photovoltaic Charging Stations. SSRN Electronic Journal. doi: https://doi.org/10.2139/ssrn.3560677
- Liu, J., Dai, Q. (2020). Portfolio Optimization of Photovoltaic/Battery Energy Storage/Electric Vehicle Charging Stations with Sustainability Perspective Based on Cumulative Prospect Theory and MOPSO. Sustainability, 12 (3), 985. doi: https://doi.org/10.3390/su12030985
- Zaher, G. K., Shaaban, M. F., Mokhtar, M., Zeineldin, H. H. (2021). Optimal operation of battery exchange stations for electric vehicles. Electric Power Systems Research, 192, 106935. doi: https://doi.org/10.1016/j.epsr.2020.106935
- Elma, O. (2020). A dynamic charging strategy with hybrid fast charging station for electric vehicles. Energy, 202, 117680. doi: https://doi.org/10.1016/j.energy.2020.117680
- Dixon, J., Bell, K. (2020). Electric vehicles: Battery capacity, charger power, access to charging and the impacts on distribution networks. eTransportation, 4, 100059. doi: https://doi.org/10.1016/j.etran.2020.100059
- Fathabadi, H. (2020). Novel stand-alone, completely autonomous and renewable energy based charging station for charging plug-in hybrid electric vehicles (PHEVs). Applied Energy, 260, 114194. doi: https://doi.org/10.1016/j.apenergy.2019.114194
- Jia, Y., Liu, X. J. (2014). Distributed model predictive control of wind and solar generation system. Proceedings of the 33rd Chinese Control Conference. doi: https://doi.org/10.1109/chicc.2014.6896301
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Eugene Chaikovskaya
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.