Abstract
The electric power system is one of the largest and most complex infrastructures and it is critical to the operation of society and other infrastructures. The power system is undergoing deep changes which result in new monitoring and control challenges in its own operation, and in unprecedented coupling with other infrastructures, in particular communications and the other energy grids. This Chapter provides an overview of this transformation, starting from the primary causes through the technical challenges, and some perspective solutions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Amin, M.: Automation, control, and complexity: An integrated approach. In: Samad & Weyrauch (eds.) Wiley, pp. 263–286 (2000)
Monti, A., Ponci, F.: The Complexity of Smart Grid. IEEE Smart Grid e-Newsletter, May 2012
Future Internet for Smart Energy (Finseny): Future Internet PPP, FP7. http://www.fi-ppp-finseny.eu/
Future Internet Smart Utility Services (Finesce): Future Internet PPP, FP7. http://www.finesce.eu/
Ericsen, T.: The second electronic revolution (It´s all about control). IEEE Trans. Ind. Appl. 46(5), 1778–1786 (2010)
Molitor, C., Benigni, A., Helmedag, A., Chen, K., Cali, D., Jahangiri, P., Muller, D., Monti, A.: Multi-physics test bed for renewable energy systems in smart homes. IEEE Trans. Ind. Electron. 60(3), 1235–1248 (2013)
Karlsson, D., Hemmingsson, M., Lindahl, S.: Wide area system monitoring and control—terminology, phenomena, and solution implementation strategies. IEEE Power Energy Mag. 2(5), 68–76 (2004)
Atanackovic, D., Clapauch, J.H., Dwernychuk, G., Gurney, J., Lee, H.: First steps to wide area control. IEEE Power Energy Mag. 6(1), 61–68 (2008)
Chakrabarti, S., Kyriakides, E., Bi, T., Cai, D., Terzija, V.: Measurements get together. IEEE Power Energy Mag. 7(1), 41–49 (2009)
Data provided by ENTSO-E. http://www.entsoe.eu
Fraunhofer Institute for solar energy systems ISE – Electricity production from solar and wind in Germany. http://www.ise.fraunhofer.de/de/downloads/pdf-files/aktuelles/stromproduktion-aus-solar-und-windenergie-2012.pdf (2013)
http://ec.europa.eu/energy/gas_electricity/smartgrids/doc/expert_group1.pdf
NIST Special Publication 1108 NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 1.0. http://www.nist.gov/public_affairs/releases/upload/smartgrid_interoperability_final.pdf. Accessed Jan 2010
http://ec.europa.eu/energy/gas_electricity/smartgrids/doc/2011_03_01_mandate_m490_en.pdf
ftp://ftp.cencenelec.eu/CENELEC/Smartgrid/SmartGridFinalReport.pdf
Della Giustina, D., Pau, M., Pegoraro, P.A., Ponci, F., Sulis, S.: Distribution system state estimation: Measurement issues and challenges. IEEE Instrum. Meas. Mag. (2014)
Machowski, J., Bialek, J.W., Bumby J.R.: Power System Dynamics: Stability and Control. Wiley, New York (2008)
Continental Europe Operation Handbook, © ENTSO-E (2014)
Abur, A., Exposito, A.G.: Power System State Estimation, Theory and Implementation. Marcel Dekker, Inc., New York (2004)
IEEE Standard for Synchrophasor Measurements for Power Systems (IEEE Std. 37.118.1-2011) and IEEE Standard for Synchrophasor Data Transfer for Power Systems (IEEE Std. 37.118.2-2011)
IEEE Guide for Synchronization, Calibration, Testing, and Installation of Phasor Measurement Units (PMUs) for Power System Protection and Control (IEEE Std. C37.242-2013)
Lira, R., Mycock, C., Wilson D., Kang, H.: PMU performance requirements and validation for closed loop applications. In 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe), pp. 1–7, Manchester, UK (2011)
Junqi, L., Benigni, A., Obradovic, D., Hirche, S., Monti, A.: State estimation and branch current learning using independent local Kalman filter with virtual disturbance model. IEEE Trans. Instrum. Meas. 60(9), 3026–3034 (2011)
Baran, M.E., El-Markabi, I.M.: A multi-agent based dispatching scheme for distributed generators for voltage support of distribution feeders. IEEE Trans. Power Syst. 22(1), 52–59 (2007)
Monti, A., Ponci, F., Benigni, A., Liu, J.: Distributed intelligence for smart grid control. In: 2010 International School on Nonsinusoidal Currents and Compensation (ISNCC), pp. 46–58. Lagow, Poland (2010)
Marwali, M.N., Keyhani, A.: Control of distributed generation systems—part I: Voltages and currents control. IEEE Trans. Ind. Electron. 19(6), 1541–1550 (2004)
Blaabjerg, F., Teodorescu, R., Liserre, M., Timbus, A.V.: Overview of control and grid synchronization for distributed power generation systems. IEEE Trans. Ind. Electron. 53(5), 1398–1409 (2006)
Macken, K.J.P., Vanthournout, K., Van den Keybus, J., Deconinck, G., Belmans, R.J.M.: Distributed control of renewable generation units with integrated active filter. IEEE Trans. Power Electron. 19(5), 1353–1360 (2004)
Tuladhar, A., Hua, J., Unger, T., Mauch, K.: Control of parallel inverters in distributed AC power systems with consideration of line impedance effect. IEEE Trans. Ind. Appl. 36(1), 131–138 (2000)
Karlsson, P., Svensson, J.: DC bus voltage control for a distributed power system. IEEE Trans. Power Electron. 18(6), 1405–1412 (2003)
Xie, S., Xie, L., Wang, Y., Guo, G.: Decentralized control of multimachine power systems with guaranteed performance. IEE Proc. Control Theory Appl. 147(3), 355–365 (2000)
Venkat, A.N., Hiskens, I.A., Rawlings, J.B., Wright, S.J.: Distributed MPC strategies with application to power system automatic generation control. IEEE Trans. Control Syst. Technol. 16(6), 1192–1206 (2008)
Negenborn, R.R.: Multi-agent model predictive control with applications to Power networks. Doctoral Dissertation, TU Delft (2007)
De Brabandere, K., Bolsens, B., Van den Keybus, J., Woyte, A., Driesen, J., Belmans, R.: A voltage and frequency droop control method for parallel inverters. IEEE Trans. Power Electron. 22(4), 1107–1115 (2007)
Liu, J., Obadovic, D., Monti, A.: Decentralized LQG control with online set-point adaptation for parallel power converter systems. In: IEEE Energy Conversion Congress and Exposition (ECCE 2010), pp. 3174–3179. Atlanta, GA, USA (2010)
Liu, J.: Cooperative control of distributed power grids using a multi-agent systems approach. Master thesis, Technische Universität München (2009)
Gusrialdi, A., Hirche, S.: Performance-oriented communication topology design for large-scale interconnected systems. In: 49th IEEE Conference on Decision and Control (CDC), Atlanta, GA, USA, pp. 5707–5713 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Monti, A., Ponci, F. (2015). Electric Power Systems. In: Kyriakides, E., Polycarpou, M. (eds) Intelligent Monitoring, Control, and Security of Critical Infrastructure Systems. Studies in Computational Intelligence, vol 565. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44160-2_2
Download citation
DOI: https://doi.org/10.1007/978-3-662-44160-2_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44159-6
Online ISBN: 978-3-662-44160-2
eBook Packages: EngineeringEngineering (R0)