Voltage Stability Enhancement for Microgrid Using an SVC
Abstract
This paper presents comparative simulation results of a Microgrid (MG) system using a Static Var Compensator (SVC) for improving the voltage stability of the studied system. An Adaptive Neural Fuzzy Inference System (ANFIS) controller is designed based on the feedback signals to control the proposed SVC. For simplicity, the studied MG system can be modeled as an equivalent small scale wind turbine generator (WTG) combine with a Solar Photovoltaic (PV) and a Battery that connected to the common AC bus. A time-domain approach based on nonlinear model simulations is systematically performed. By observing the simulation results it can be concluded that the designed ANFIS controller for SVC can offer better damping characteristics of the studied MG system under severe operating conditions
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References
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[12] A. Jain, P. P. Singh, and S. N. Singh, “Control strategies for output power smoothening of DFIG with SVC in wind conversion system”, IEEE Region 10 Humanitarian Technology Conference (R10-HTC), pp. 1 – 7, 2016.
[13] L. Wang and D.-N. Truong, ”Stability enhancement of a power system with a PMSG-based and a DFIG-based offshore wind farms using an SVC with an adaptive-network-based fuzzy inference system”, IEEE Transactions on Industrial Electronics, vol. 60, no. 7, pp. 2799-2807, 2013.
[2] F. Nejabatkhah and Y. W. Li, ”Overview of Power Management Strategies of Hybrid AC/DC Microgrid,” in IEEE
Transactions on Power Electronics, vol. 30, no. 12, pp. 7072-7089, Dec. 2015.
[3] J. Hofer, B. Svetozarevic and A. Schlueter, ”Hybrid AC/DC building microgrid for solar PV and battery storage integration,”2017 IEEE Second International Conference on DC Microgrids (ICDCM), Nuremberg, 2017, pp. 188-191.
[4] M. Farrokhabadi, C. Ca˜ nizares, and K. Bhattacharya, ”A voltage-based frequency controller for inverter-based systems in microgrids,” 2016 IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, 2016, pp. 1-5.
[5] C. Lebr´on and F. Andrade, ”An intelligent battery management system based on the fuzzy controller for home microgrid working in grid-connected and island mode,” 2016 IEEE ANDESCON, Arequipa, 2016, pp. 1-4.
[6] S. Pati, K. B. Mohanty, A. Choudhury, and S. Kar, ”Integration and power control of a micro-hydro-PV-wind based hybrid microgrid,” 2017 International Conference on Circuit, Power and Computing Technologies (ICCPCT), Kollam, 2017, pp. 1-6.
[7] T. Dong, L. Li and Z. Ma, ”A combined system of APF and SVC for power quality improvement in microgrid,” 2012 Power Engineering and Automation Conference, Wuhan, 2012, pp. 1-4.
[8] P. Bog´onez-Franco, J. Balcells, O. Junyent and J. Jord`a, ”SVC model for voltage control of a microgrid,” 2011 IEEE International Symposium on Industrial Electronics, Gdansk, 2011, pp. 1645-1649.
[9] A. S. Eldessouky and H. A. Gabbar, ”Micro Grid stability enhancement using SVC with fuzzy model reference learning controller algorithm,” 2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, 2015, pp. 1-6.
[10] V. Bui, T. Hoang, T. Duong and D. Truong, ”Dynamic Voltage Stability Enhancement of a Grid-Connected Wind Power System by ANFIS Controlled Static Var Compensator,” 2019 International Conference on System Science and Engineering (ICSSE), Dong Hoi, Vietnam, 2019, pp. 174-177.
[11] R. I. Putri, S. Adhisuwignjo and M. Rifa’i, ”Design of Simple Power Converter For Small Scale Wind Turbine System For Battery Charger,” 2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE), Yogyakarta, Indonesia, 2018, pp. 169-173.
[12] A. Jain, P. P. Singh, and S. N. Singh, “Control strategies for output power smoothening of DFIG with SVC in wind conversion system”, IEEE Region 10 Humanitarian Technology Conference (R10-HTC), pp. 1 – 7, 2016.
[13] L. Wang and D.-N. Truong, ”Stability enhancement of a power system with a PMSG-based and a DFIG-based offshore wind farms using an SVC with an adaptive-network-based fuzzy inference system”, IEEE Transactions on Industrial Electronics, vol. 60, no. 7, pp. 2799-2807, 2013.
Published
2020-04-30
How to Cite
TRUONG, Dinh-Nhon et al.
Voltage Stability Enhancement for Microgrid Using an SVC.
Journal of Science and Technology: Issue on Information and Communications Technology, [S.l.], v. 18, n. 4.2, p. 39-44, apr. 2020.
ISSN 1859-1531.
Available at: <http://ict.jst.udn.vn/index.php/jst/article/view/93>. Date accessed: 25 nov. 2024.
doi: https://doi.org/10.31130/ict-ud.2020.93.
Section
Articles
