Abstract
Microgrid system stability is a major source of concern due to the rapid increase in load demand and a high level of renewable energy penetration. During the grid- connected mode, the microgrid power quality is mainly affected by the level of connection strength with the host grid. Thus, this paper aims to investigate the impact of the implemented control strategy in the microgrid, on frequency response when its level of connection strength is weak, that is, the frequency and voltage are not dominantly controlled by the grid. A control scheme based on a fuzzy logic-based self-tuning PID controller (fuzzy-PID) is used to maintain the frequency within the acceptable range. Simulations illustrate that the frequency dynamic response of the microgrid guarantees a good performance using the fuzzy-PID controller despite a large drop in grid inertia and the presence of disturbances whereas the classical PID controller cannot maintain the frequency within the acceptable range.
Author contribution: Author has accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: None declared.
Conflict of interest statement: Author declares no conflicts of interest regarding this article.
References
1. Zhang, D, Evangelisti, S, Lettieri, P, Papageorgiou, LG. Economic and environmental scheduling of smart homes with microgrid: DER operation and electrical tasks. Energy Convers Manag 2016;110:113–24. https://doi.org/10.1016/j.enconman.2015.11.056.Search in Google Scholar
2. Rahbar, K, Chai, CC, Zhang, R. Energy cooperation optimization in microgrids with renewable energy integration. IEEE Trans Smart Grid 2018;9:1482–93. https://doi.org/10.1109/tsg.2016.2600863.Search in Google Scholar
3. Malbranque, S, Tadeo, F, Nachidi, M. Photovoltaic pumping in lab bench. 2019 8th International conference on systems and control (ICSC). Marrakech, Morocco; 2019:183–8. https://doi.org/10.1109/ICSC47195.2019.8950655.Search in Google Scholar
4. Arriaga, M, Cañizares, CA, Kazerani, M. Renewable energy alternatives for remote communities in northern ontario, Canada. IEEE Trans Sustain Energy 2013;4:661–70. https://doi.org/10.1109/tste.2012.2234154.Search in Google Scholar
5. Schneider, KP, Radhakrishnan, N, Tang, Y, Tuffner, FK, Liu, C, Xie, J, et al. Improving primary frequency response to support networked microgrid operations. IEEE Trans Power Syst 2019;34:659–67. https://doi.org/10.1109/tpwrs.2018.2859742.Search in Google Scholar
6. Yang, S, Lei, Q, Peng, FZ, Qian, Z. A robust control scheme for grid-connected voltage-source inverters. IEEE Trans Ind Electron 2011;58:202–12. https://doi.org/10.1109/tie.2010.2045998.Search in Google Scholar
7. Bevrani, H, Habibi, F, Babahajyani, P, Watanabe, M, Mitani, Y. Intelligent frequency control in an ac microgrid: online pso-based fuzzy tuning approach. IEEE Trans Smart Grid 2012;3:1935–44. https://doi.org/10.1109/tsg.2012.2196806.Search in Google Scholar
8. Kaldellis, J. An integrated model for performance simulation of hybrid wind–diesel systems. Renew Energy 2007;32:1544–64. URL: https://www.sciencedirect.com/science/article/pii/S0960148106002175. https://doi.org/10.1016/j.renene.2006.07.004.Search in Google Scholar
9. Bhatti, T, Al-Ademi, A, Bansal, N. Load-frequency control of isolated wind-diesel-microhydro hybrid power systems (wdmhps). Energy 1997;22:461–70. URL: https://www.sciencedirect.com/science/article/pii/S036054429600148X. https://doi.org/10.1016/s0360-5442(96)00148-x.Search in Google Scholar
10. Afshar, Z, Bazargani, NT, T Bathaee, SM. Virtual synchronous generator for frequency response improving and power damping in microgrids using adaptive sliding mode control. 2018 International conference and exposition on electrical and power engineering (EPE), lasi; 2018:0199–0204 p. https://doi.org/10.1109/ICEPE.2018.8559616.Search in Google Scholar
11. Fathi, A, Shafiee, Q, Bevrani, H. Robust frequency control of microgrids using an extended virtual synchronous generator. IEEE Trans Power Syst 2018;33:6289–97. https://doi.org/10.1109/tpwrs.2018.2850880.Search in Google Scholar
12. Amin, M, Zhong, Q, Zhang, L, Li, Z, Shahidehpour, M. Small-signal modeling and analysis of vsm for distributed generation in a weak grid. IECON 2018 - 44th annual conference of the IEEE industrial electronics society, Washington, DC; 2018:1501–6 p. https://doi.org/10.1109/IECON.2018.8591993.Search in Google Scholar
13. Zhao, ZY, Tomizuka, M, Isaka, S. Fuzzy gain scheduling of pid controllers. IEEE Trans Syst Man Cybern 1993;23:1392–8. https://doi.org/10.1109/21.260670.Search in Google Scholar
14. Sahoo, B, Panda, S. Improved grey wolf optimization technique for fuzzy aided pid controller design for power system frequency control. Sustain Energy Grids Network 2018;16:278–99. https://doi.org/10.1016/j.segan.2018.09.006.Search in Google Scholar
15. Mohammadzadeh, A, Kayacan, E. A novel fractional-order type-2 fuzzy control method for online frequency regulation in ac microgrid. Eng Appl Artif Intell 2020;90:103483. https://doi.org/10.1016/j.engappai.2020.103483.Search in Google Scholar
16. Nachidi, M, Hajjaji, AE, Bosche, J. An enhanced control approach for dc–dc converters. Int J Electr Power Energy Syst 2013;45:404–12. https://doi.org/10.1016/j.ijepes.2012.09.003.Search in Google Scholar
17. Lee, D, Wang, L. Small-signal stability analysis of an autonomous hybrid renewable energy power generation/energy storage system part i: time-domain simulations. IEEE Trans Energy Convers 2008;23:311–20. https://doi.org/10.1109/tec.2007.914309.Search in Google Scholar
18. Mu, Y, Wu, J, Ekanayake, J, Jenkins, N, Jia, H. Primary frequency response from electric vehicles in the great britain power system. IEEE Trans Smart Grid 2013;4:1142–50. https://doi.org/10.1109/tsg.2012.2220867.Search in Google Scholar
19. Jaganathan, S, Gao, W. Battery charging power electronics converter and control for plug-in hybrid electric vehicle. 2009 IEEE vehicle power and propulsion conference, Dearborn, MI; 2009:440–7 p. https://doi.org/10.1109/VPPC.2009.5289815.Search in Google Scholar
20. Bevrani, H, Feizi, MR, Ataee, S. Robust frequency control in an islanded microgrid: H∞ and μ -synthesis approaches. IEEE Trans Smart Grid 2016;7:706–17. https://doi.org/10.1109/TSG.2015.2446984.Search in Google Scholar
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