Abstract
The power network is becoming increasingly intermittent as the contribution from renewable energy generation rises. To maintain stability and functionality of the power network, storage of renewable energies and demand-side control techniques are required. Smart grids provide the communication infrastructure to accomplish this goal. Smart grid control originated from the idea that the demand-side of the power grid can shift or shed load to reduce the strain on the network, while also maintaining consumer satisfaction and other specialist requirements.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Annaswamy, A. M., Malekpour, A. R., & Baros, S. (2016). Emerging research topics in control for smart infrastructures. Annual Reviews in Control, 42, 259–270.
Arnaboldi, L., Czekster, R. M., Morisset, C., & Metere, R. (2020). Modelling load-changing attacks in cyber-physical systems. Electronic Notes in Theoretical Computer Science, 353, 39–60.
Başar, T., & Olsder, G. J. (1998). Dynamic noncooperative game theory. Philadelphia: SIAM.
Bevrani, H. (2009). Robust power system frequency control. Berlin: Springer.
Boyd, S., Boyd, S. P., & Vandenberghe, L. (2004) Convex optimization. Cambridge: Cambridge University Press.
Brunton, S. L., & Kutz, J. N. (2017). Data driven science & engineering - machine learning, dynamical systems, and control. Cambridge: Cambridge University Press.
Camacho, E. F., & Bordons, C. (2007). Introduction to model predictive control. Berlin: Springer.
Curiel, I. (2013). Cooperative game theory and applications: Cooperative games arising from combinatorial optimization problems (vol. 16). Berlin: Springer.
Demuth, H. (2004). Neural network toolbox documentation. NN with Matlab, p. 846.
Drgoňa, J., Arroyo, J., Cupeiro Figueroa, I., Blum, D., Arendt, K., Kim, D., Ollé, E. P., Oravec, J., Wetter, M., Vrabie, D. L., & Helsen, L. (2020). All you need to know about model predictive control for buildings. Annual Reviews in Control, 50, 190–232.
Energy Emergencies Executive Committee. (2019). GB power system disruption–9 August 2019. Department for Business, Energy & Industrial Strategy, Tech. Rep.
Figueiredo, J., & Sá da Costa, J. (2012). A SCADA system for energy management in intelligent buildings. Energy and Buildings, 49, 85–98.
Franklin, G. F., Powell, J. D., Emami-Naeini, A., & Powell, J. D. (2002). Feedback control of dynamic systems (vol. 4). Upper Saddle River: Prentice Hall.
Gasparyan, O. (2008). Linear and nonlinear multivariable feedback control: A classical approach. Hoboken: Wiley.
Hu, J., Yang, G., Kok, K., Xue, Y., & Bindner, H. W. (2017) Transactive control: A framework for operating power systems characterized by high penetration of distributed energy resources. Journal of Modern Power Systems and Clean Energy, 5, 451–464.
Khaled, N., & Pattel, B. (2018). Chapter 2 - theoretical foundation of MPC. In: N. Khaled & B. Pattel (Eds.) Practical design and application of model predictive control. Oxford: Butterworth-Heinemann.
Ławryńczuk, M. (2017). Nonlinear predictive control of a boiler-turbine unit: A state-space approach with successive on-line model linearisation and quadratic optimisation. ISA Transactions, 67, 476–495.
Ljung, L. (2010). Perspectives on system identification. Annual Reviews in Control, 34, 1–12.
Löfberg, J. (2012). Automatic robust convex programming. Optimization Methods and Software, 27(1), 115–129.
Miao, L., Wei, G., Fang, X., & Risheng, J. (2015). The strategy of the voltage control in smart grid based on modern control method and FPGA. In: 2015 34th Chinese Control Conference (CCC).
National Grid. (2020). The grid code. National Grid, Tech. Rep.
Nazir, S., Patel, S., & Patel, D. (2017). Assessing and augmenting SCADA cyber security: A survey of techniques. Computers & Security, 70, 436–454.
Rathore, M.M., Ahmad, A., Paul, A., & Rho, S. (2016) Urban planning and building smart cities based on the Internet of Things using big data analytics. Computer Networks, 101, 63–80.
Reynolds, J. (2019). Real-time and semantic energy management across buildings in a district configuration. Ph.D. Dissertation, Cardiff University.
Roche, R., Lauri, F., Blunier, B., Miraoui, A., & Koukam, A. (2013). Multi-agent technology for power system control. London: Springer.
Roughgarden, T. (2010). Algorithmic game theory. Communications of the ACM, 53(7):78–86.
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning representations by back-propagating errors. Nature, 323(6088), 533–536.
Saad, W., Han, Z., Poor, H. V., & Başar, T. (2012). Game-theoretic methods for the smart grid: An overview of microgrid systems, demand-side management, and smart grid communications. IEEE Signal Processing Magazine, 29(5), 86–105.
Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I., Huang, A., Guez, A., Hubert, T., Baker, L., Lai, M., Bolton A., Chen, Y., Lillicrap, T., Hui, F., Sifre, L., van den Driessche, G., Graepel, T., & Hassabis, D. (2017). Mastering the game of go without human knowledge. Nature, 550(7676): 354–359.
Stark, C., Thompson, M., Andrew, T., Beasley, G., Bellamy, O., Budden, P., et al. (2019). Net Zero: The UK’s contribution to stop** global warming.
Sutton, R. S., & Barto, A. G. (1998). Introduction to reinforcement learning (vol. 135). Cambridge: MIT Press.
Vezzoli, C., Ceschin, F., Osanjo, L., M’Rithaa, M. K., Moalosi, R., Nakazibwe, V., & Diehl, J. C. (2018). Designing sustainable energy for all: sustainable product-service system design applied to distributed renewable energy. Springer Nature.
Zhang, H., Zhou, J., Sun, Q., Guerrero, J. M., & Ma, D. (2017). Data-driven control for interlinked AC/DC microgrids via model-free adaptive control and dual-droop control. IEEE Transactions on Smart Grid, 8, 557–571.
Zonetti, D., Saoud, A., Girard, A., & Fribourg, L. (2019). A symbolic approach to voltage stability and power sharing in time-varying DC microgrids. In: 2019 18th European Control Conference (ECC).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Wooding, B., Vahidinasab, V., Kazemi, M., Soudjani, S. (2022). Control and Management of Active Buildings. In: Vahidinasab, V., Mohammadi-Ivatloo, B. (eds) Active Building Energy Systems. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-79742-3_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-79742-3_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-79741-6
Online ISBN: 978-3-030-79742-3
eBook Packages: EnergyEnergy (R0)