Using microgrids to improve the grid resilience in the aftermath of extreme events
Keywords:
Microgrids, Grid Resilency, Energy management, Composite Load, Load PrioritizationSynopsis
This is a Chapter in:
Book:
Automated Systems, Data, and Sustainable Computing
Series:
Chronicle of Computing
Chapter Abstract:
The adverse effects of extreme events on the grid resulted in growing demands to address grid resilience or provide emergency services. A microgrid, covering small geographical area is less vulnerable to such events. Through its features, such as local generation, optimal load and power scheduling or islanding operation can significantly increase system reliability and resilience. Optimized generation scheduling and energy management models are implemented, by using simplified microgrid component, composite load models, and load prioritization.
Cite this paper as:
Belu R. (2022) Using microgrids to improve the grid resilience in the aftermath of extreme events. In: Tiako P.F. (ed) Automated Systems, Data, and Sustainable Computing. Chronicle of Computing. OkIP. https://doi.org/10.55432/978-1-6692-0001-7_3
Author Contact:
Radian Belu
radian_belu@subr.edu
References
Amirioun, M.H., F. Aminifar, and H. Lesani, (2018) Towards proactive scheduling of microgrids against extreme floods. IEEE Trans Smart Grid, 9(4), 3900–3902.
Belu, R., (2014a), Microgrid Concepts and Architectures, in Sohail Anwar (Ed.), Encyclopedia of Energy Engineering & Technology, vol. III, (DOI: 10.1081/E-EEE-120048432/29 pages), CRC Press.
Belu, R., (2014b), Microgrid Protection and Control, in Sohail Anwar (Ed.), Encyclopedia of Energy Engineering & Technology, vol. III, (DOI: 10.1081/E-EEE-120048432, 27 pages), CRC Press
Chanda S. and A.K. Srivastava, (2016), Defining and enabling resiliency of electric distribution systems with multiple microgrids. IEEE Trans Smart Grid, 7(6), pp. 2859–2868.
Gao, H. et al. (2016) Resilience-oriented critical load restoration using microgrids in distribution systems, IEEE Trans Smart Grid, 7(6), 2837–2848.
Hernandez, C. A. L. et al., (2016) Optimal Power Scheduling for an Islanded Microgrid, 8th Int. Power Electronics and Motion Control Conf. (IPEMCECCE Asia), 1787-1792,
Panteli, M. et al., (2016), Boosting the Power Grid Resilience to Extreme Weather Events Using Defensive Islanding, IEEE Transactions on Smart Grids, 7(6), 2913-2922.
Raisz, D., and Dan, C., (2009), A stochastic residential load model and its application to the unified loss theory,” Eur. Trans. Electric Power. 19(8), 1118 – 1130.
Wang, C. Chen, J., Wang, and R., Baldick, (2016), Research on resilience of power systems under natural disasters - a review,” IEEE Trans Power Systems, 31(2), 1604–1613.
