Isolated Power Supply System with Energy Routers and Renewable Energy Sources

Authors

  • Y. N. Bulatov Bratsk State University
  • A. V. Kryukov Irkutsk State Transport University
  • K. V. Suslov Irkutsk National Research Technical University

DOI:

https://doi.org/10.22213/2413-1172-2021-2-124-134

Keywords:

distributed generation plants, renewable energy sources, isolated power supply system, energy router, prognostic controllers, simulation

Abstract

Power supply systems built using smart grid technologies can be implemented on the basis of energy routers made using high-frequency solid-state transformers. Energy routers can be used to connect distributed generation plants operating on renewable energy sources and energy storage devices to supply electricity to consumers in an isolated system. In addition, the use of energy routers improves the quality of electricity in the power supply system in terms of voltage asymmetry and nonsinusoidality. The paper presents the results of modeling the operating modes of an isolated power supply system, which includes the following elements: energy routers, a wind generating plant with a fuzzy regulator of the angle of rotation of the wind turbine blades, a small hydroelectric power plant and a turbine generator set with prognostic voltage and rotor speed regulators. The simulation was carried out in MATLAB using the Simulink and SimPowerSystems packages. The purpose of the research was to determine the efficiency of using energy routers in an isolated power supply system for connecting energy storage devices and distributed generation units operating on renewable energy sources. The results of computer simulation of various modes of operation made it possible to formulate the following conclusions. The use of energy routers to connect generating plants based on renewable energy sources to the ISES makes it possible to effectively regulate the voltage and frequency. In contrast to the use of conventional power transformers, energy routers have made it possible to obtain the following positive effects: to reduce the frequency drop in the 10 kV network when an additional load is connected; reduce the transient time for frequency in case of a short-term three-phase short circuit; significantly limit voltage dips and overvoltage. The use of predictive controllers of the rotor speed of the generators of TSU and small hydroelectric power station made it possible to remove oscillation, reduce the time of the transient process and significantly reduce the overshoot for the frequency in the modes of connecting an additional load and short-term short circuit in the ISES network, even when using conventional power transformers. With a sharp decrease in wind speed, prognostic ARS additionally reduce oscillation, transient time and the amount of overshoot. The use of energy routers can significantly reduce the impact on the ISES of changes in the generated power of RG installations operating on renewable energy sources.

Author Biographies

Y. N. Bulatov, Bratsk State University

PhD in Engineering, Associate Professor

A. V. Kryukov, Irkutsk State Transport University

DSc in Engineering, Professor

K. V. Suslov, Irkutsk National Research Technical University

DSc in Engineering, Professor

References

Wang J., Huang A.Q., Sung W., Liu Y., Baliga B.J. Smart Grid Technologies. IEEE Industrial Electronics Magazine, 2009, vol. 3, no. 2, pp. 16-23.

Buchholz B.M., Styczynski Z.A. Smart Grids - Fundamentals and Technologies in Electricity Networks. Springer Heidelberg New York Dordrecht London, 2014, 396 p.

Wang R., Wang P., Xiao G. Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid. Springer, 2018, 218 p.

Barker Ph.P., De Mello R.W. Determining the Impact of Distributed Generation on Power Systems: Part 1 - Radial Distribution Systems: 2000 IEEE PES Summer Meeting, Seattle, WA, USA, July 11-15, pp. 222-233.

Voropai N.I., Stychinsky Z.A. Renewable energy sources: theoretical foundations, technologies, technical characteristics, economics. Magdeburg: Otto-von-Guericke-Universität, 2010, 223 p.

Ellabban O., Abu-Rub H., Blaabjerg F. Renewable energy resources: Current status, future prospects and their enabling technology. Renewable and Sustainable Energy Reviews, 2014, vol. 39, pp. 748-764.

Martínez Ceseña E.A., Capuder T., Mancarella P. Flexible distributed multienergy generation system expansion planning under uncertainty. IEEE Transaction on Smart Grid, 2016, vol. 7, pp. 348-357.

Shen X., Zhu S., Zheng J., Han Y., Li Q., Nong J., Mohammad Sh. Active distribution network expansion planning integrated with centralized and distributed Energy Storage System: Power & Energy Society General Meeting, Denver, CO, 2015, pp. 1-5.

Rugthaicharoencheep N., Auchariyamet S. Technical and Economic Impacts of Distributed Generation on Distribution System. International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, 2012, vol. 6, no. 4, pp. 385-389.

Olivares D. Trends in Microgrid Control. Smart Grid, IEEE Transactions on, 2014, vol. 5, no. 4, pp. 1905-1919.

Juneja A., Bhattacharya S. Energy router: Architectures and functionalities toward Energy Internet: IEEE International Conference on Smart Grid Communications (SmartGridComm), 2011, pp. 31-36.

Wang K., Liu X., Zhao L., Zhou Y., Xu D. Research on Structure and Energy Management Strategy of Household Energy Router Based on Hybrid Energy Storage: IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2019. DOI: 10.1109/ISGT.2019.8791644.

Ma Y., Wang X., Zhou X., Gao Zh. An overview of energy routers: 29th Chinese Control and Decision Conference (CCDC), 2017. Publisher: IEEE. DOI: 10.1109/CCDC.2017.7979219.

Liu B., Wu W., Zhou Ch., Mao Ch., Wang D., Duan Q., Sha G. An AC-DC Hybrid Multi-Port Energy Router With Coordinated Control and Energy Management Strategies. IEEE Access, 2019, vol. 7. Publisher: IEEE. DOI: 10.1109/ACCESS.2019.2933469.

Wu R., Wang B., Zou Y., Fan B., Li L., Zhu Zh. Energy router interface model based on bidirectional flow control for intelligent park: 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017. Publisher: IEEE. DOI: 10.1109/IECON.2017.8217362.

Han X., Yang F., Bai C., Xie G., Ren G., Hua H., Cao J. An Open Energy Routing Network for Low-Voltage Distribution Power Grid: IEEE International Conference on Energy Internet (ICEI), 2017. Publisher: IEEE. DOI: 10.1109/ICEI.2017.63.

Shilpakala G.B., Prassad M.J. Solid state transformers: new approach and new opportunity: Proceedings of 11th IRF International Conference, 15th June-2014, Pune, India, pp. 15-21.

Zhao T., Yang L., Wang J., Huang A.Q. 270 kVA Solid State Transformer Based on 10 kV SiC Power Devices: Electric Ship Technologies Symposium, 2007. ESTS '07. IEEE, pp. 145-149.

Mao X., Falcones S., Ayyanar R. Energy-Based Control Design for a Solid State Transformer: Proc. FREEDM Annual Conference, North Carolina State University, Raleigh, NC, 2009, pp. 217-220.

Rathod D.K. Solid State Transformer (SST) Review of Recent Developments. Advance in Electronic and Electric Engineering, 2014, vol. 4, no. 1, pp. 45-50.

Anderson P.M., Fouad A.A. Power System Control and Stability, Second Edition. IEEE Press, 2003, 688 p.

Heier S. Grid Integration of Wind Energy Conversion Systems, John Wiley & Sons Ltd, 1998.

Published

13.07.2021

How to Cite

Bulatov Ю. Н., Kryukov А. В., & Suslov К. В. (2021). Isolated Power Supply System with Energy Routers and Renewable Energy Sources. Vestnik IzhGTU Imeni M.T. Kalashnikova, 24(2), 124–134. https://doi.org/10.22213/2413-1172-2021-2-124-134

Issue

Section

Articles