Abstract
Motivated by climate change and sustainability, and the resulting need to decarbonize the electricity sector, there is a major global movement toward large-scale integration of renewable energy, i.e., wind and solar, into the existing power grid. The inherent variability of wind and solar energy production poses a major challenge in achieving these goals. The problem becomes more challenging as we consider issues of competitive markets, low cost and high reliability. In the last few years, we have been working on new systems and control problems that arise from these considerations. In this paper, we will present some highlights of our work on developing demand response methods using distributed control and bounding the loss of efficiency in these methods.
This work was supported by NSF Grants ECCS-1723849 (previously ECCS-1129061) and CNS-1723856 (previously CNS-1239274).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Boyd, S., Vandenberghe, L.: Convex Optimization. Cambridge University Press, Cambridge, UK (2009)
Callaway, D., Hiskens, I.: Achieving controllability of electric loads. Proc. IEEE 99(1), 184–199 (2011)
Chakraborty, P.: Optimization and control of flexible demand and renewable supply in a smart power grid. Ph.D. thesis, University of Florida. Department of Electrical and Computer Engineering (2016)
Chakraborty, P., Khargonekar, P.P.: Flexible loads and renewable integration: distributed control and price of anarchy. In: Proceedings of the IEEE 52nd Annual Conference on Decision and Control (CDC), pp. 2306–2312. Firenze, Italy (2013)
Chakraborty, P., Khargonekar, P.P.: A demand response game and its robust price of anarchy. In: Proceedings of the 2014 IEEE Control Conference on Smart Grid Communications (SmartGridComm), pp. 644–649. Venice, Italy (2014a)
Chakraborty, P., Khargonekar, P.P.: Impact of irrational consumers on rational consumers in a smart grid. In: Proceedings of the American Control Conference (ACC), pp. 58–64. Portland, OR (2014b)
Chakraborty, P., Baeyens, E., Khargonekar, P.P, Poolla, K.: A cooperative game for the realized profit of an aggregation of renewable energy producers. In: Proceedings of 55th IEEE Conference on Decision and Control, pp. 5805–5812. Las Vegas, NV (2016)
Chakraborty, P., Baeyens, E., Khargonekar, P.P.: Cost causation based allocation of costs for market integration of renewable energy. IEEE Trans. Power Syst. (2017). (to appear)
Chakraborty, P., Baeyens, E., Khargonekar, P.P.: Distributed control of flexible demand using proportional allocation mechanism in a smart grid: game theoretic interaction and price of anarchy. J. Sustainable Energy Grids Netw. 12, 30–39 (2017)
Fan, Z.: Distributed charging of PHEVs in a smart grid. In: Proceedings of the IEEE International Conference on Smart Grid Communications, Brussels, pp. 255–260 (2011)
Johari, R.: The price of anarchy and the design of scalable resource allocation mechanisms. In: Nisan, N., Roughgarden, T., Tardos, E., Vazirani, V.V. (eds.) Algorithmic Game Theory. Cambridge University Press, Avenue of the Americas, NY (2007)
Kelly, F.P.: Charging and rate control for elastic traffic. Eur. Trans. Telecommun. 8(1), 33–37 (1997)
Li, N., Chen, L., Low, S.H.: Optimal demand response based on utility maximization in power networks. In: Proceedings of IEEE Power Engineering Society General Meeting, pp. 1–8. San Diego, CA (2011)
Ma, Z., Callaway, D., Hiskens, I.: Decentralized charging control of large populations of plug-in electric vehicles. IEEE Trans. Control Syst. Technol. 21(1), 67–78 (2013)
Mohsenian-Rad, A., Wong, V., Jatskevich, J., Schober, R., Garcia, A.L.: Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. IEEE Trans. Smart Grid 1(3), 320–331 (2010)
Moulin, H.: The price of anarchy of serial, average and incremental cost sharing. Econ. Theor. 36(3), 379–405 (2008)
NERC Special Report: Accomodation of high levels of variable generation. North American Electric Reliability Corporation (NERC), Technical report (2009)
Rehman, S., Shrestha, G.: An investigation into the impact of electric vehicle load on the electric utility distribution system. IEEE Trans. Power Delivery 8(2), 591–597 (1993)
Rosen, J.B.: Existence and uniqueness of equilibrium points for concave n-person games. Econometrica 33(3), 520–534 (1965)
Roughgarden, T.: Intrinsic robustness of the price of anarchy. Commun. ACM 55(7), 116–123 (2012)
Tardos, E., Wexler, T.: Network formation games and the potential function method. In: Nisan, N., Roughgarden, T., Tardos, E., Vazirani, V.V. (eds.) Algorithmic Game Theory. Cambridge University Press, Avenue of the Americas, NY (2007)
Vasirani, M., Ossowski, S.: A proportional share allocation mechanism for co-ordination of plug-in electric vehicle charging. Eng. Appl. Artif. Intell. 26(3), 1185–1197 (2013)
Wu, C., Mohsenian-Rad, H., Huang, J.: Wind power integration via aggregator-consumer coordination: a game theoretic approach. In: Proceedings of IEEE PES Innovative Smart Grid Technologies, Washington, DC, pp. 1–6 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Chakraborty, P., Baeyens, E., Khargonekar, P.P. (2018). Grid Integration of Renewable Electricity and Distributed Control. In: Tempo, R., Yurkovich, S., Misra, P. (eds) Emerging Applications of Control and Systems Theory. Lecture Notes in Control and Information Sciences - Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-67068-3_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-67068-3_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-67067-6
Online ISBN: 978-3-319-67068-3
eBook Packages: EngineeringEngineering (R0)