Skip to main content

Advertisement

Log in

Cooperative fuzzy controllers for autonomous voltage regulation in Smart Grids

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

Abstract

The large-scale deployment of the Smart Grid paradigm will support the evolution of conventional electrical power systems toward active, flexible and self-healing web energy networks composed of distributed and cooperative energy resources. In a Smart Grid platform, the optimal coordination of distributed voltage controllers is one of the main issues to address. In this field, the application of traditional hierarchical control paradigms has some disadvantages that could hinder their application in Smart Grids where the constant growth of grid complexity and the need for massive pervasion of distribution generation systems require more scalable, more flexible control and regulation paradigms. To try and overcome these challenges, this paper proposes the concept of a decentralized non-hierarchal voltage regulation architecture based on intelligent and cooperative smart entities. The distributed voltage controllers employ traditional sensors to acquire local bus variables and mutually coupled oscillators to assess the main variables that characterize the operation of the global Smart Grid. These variables are then amalgamated by a fuzzy inference system in order to identify proper control actions aimed at improving the grid voltage profile and reducing power losses.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Acampora G, Gaeta M, Loia V, Vasilakos AV (2010) Interoperable and adaptive fuzzy services for ambient intelligence applications. ACM Trans Auton Adap Syst 5(2):1–26

    Article  Google Scholar 

  • Amin SM, Wollenberg BF (2005) Toward a Smart Grid. IEEE Power Energy Mag 3(5):34–38

    Article  Google Scholar 

  • Augugliaro A, Dusonchet L, Favuzza S, Riva Sanseverino E (2004) Voltage regulation and power losses minimization in automated distribution networks by an evolutionary multiobjective approach. IEEE Trans Power Syst 19(3):1516–1527

    Article  Google Scholar 

  • Barbarossa S (2005) Self-organizing sensor networks with information propagation based on mutual coupling of dynamic systems. In: International workshop on wireless ad hoc networks, New York, 23–26 May 2005

  • Barán B, Vallejos J, Ramos R, Fernández U (2001) Reactive power compensation using a multi-objective evolutionary algorithm. In: Proceedings of IEEE Porto PowerTech’2001. Porto-Portugal

  • Barbarossa S, Scutari G, Swami A (2007) Achieving consensus in self-organizing wireless sensor networks: the impact of network topology on energy consumption. In: Proceedings of 32nd IEEE international conference on acoustics, speech, and signal processing (ICASSP 2007), Honolulu, Hawaii, April 2007

  • Bontempi G, Vaccaro A, Villacci D (2006) An adaptive local learning based methodology for voltage regulation in distribution networks with dispersed generation. IEEE Trans Power Syst 21(3):1131–1140

    Article  Google Scholar 

  • Caldon R, Rossetto F, Scala A (2003) Reactive power control in distribution networks with dispersed generators: a cost based method. Elsevier-Elect Power Syst Res 64:209–217

    Article  Google Scholar 

  • Castaldo D, Gallo D, Landi C (2004) Collaborative multisensor network architecture based on smart Web sensors for power quality applications. In: Proceedings of instrumentation and measurement technology conference, 2004. IMTC 04. Proceedings of the 21st IEEE, vol 2, pp 1361–1366, 18–20 May 2004

  • Comfort R, Mansoor A, Sundaram A (2001) Power quality impact of distributed generation: effect on steady state voltage regulation. In: Presented at the PQA 2001 North America Conference, Pittsburgh, Pennsylvania

  • di Bisceglie M, Galdi C, Vaccaro A, Villacci D (2009) Cooperative sensor networks for voltage quality monitoring in Smart Grids. In: Proceedings of IEEE Powertech 2009, 28 June–2 July 2009, Bucharest, Romania

  • Hadjsaid N, Canard J-F, Dumas F (1999) Dispersed generation impact on distribution networks. IEEE Comput Appl Power 12(2):22–28

    Article  Google Scholar 

  • Higgins N et al (2008) Concept of intelligent decentralised power distribution automation with IEC 61850, IEC 61499 and Holonic Control. In: Proceedings IEEE conference on systems, machine and cybernetics

  • Joos G, Ooi, BT, cGillis D, Galiana FD, Marceau R (2000) The potential of distributed generation to provide ancillary services. In: Proceedings of IEEE power engineering society summer meeting 2000, vol 3, pp 1762–1767, July 2000

  • King RL (2008) Information services for smart grids. In: Proceedings of 2008 IEEE power and energy society general meeting—conversion and delivery of electrical energy in the 21st Century, Pittsburgh, PA, 20–24 July 2008

  • Le Borgne Y, Raybaud S, Bontempi G (2008a) Distributed principal component analysis for wireless sensor networks. Sensors 8(8):4821–4850

    Article  Google Scholar 

  • Le Borgne Y, Dricot JM, Bontempi G (2008b) Principal component aggregation for energy-efficient information extraction in wireless sensor networks. Chapter 5 of Knowledge Discovery from Sensor Data, pp 55–80. Taylor and Francis/CRC Press, 2008

  • Madani V, King RL (2008) Strategies to meet grid challenges for safety and reliability. Inter J Reliab Safety 2(1–2):146–165

    Google Scholar 

  • Marel MI, El-Saadany EF, Salama MMA (2002) Flexible distributed generation: (FDG). In: Proceedings of IEEE power engineering society summer meeting 2002, vol 1, pp 49–53, July 2002

  • Mi Z, Wang F (2009) Substation reactive power and voltage control using fuzzy control theory. In: Proceedings of 2009 international conference on industrial and information systems, Haikou, China, April 2009

  • Miranda V, Calisto, P (2002) Substation reactive power and voltage control using fuzzy control theory. In: Proceedings of 14th power systems computation conference, Sevilla, Spain, June 2002

  • Pipattanasomporn M, Feroze H, Rahman S (2009) Multi-agent systems in a distributed Smart Grid: design and implementation. In: IEEE PES 2009 power systems conference and exposition (PSCE’09), Mar 2009, Seattle, Washington, USA

  • Schroder A, Laresgoiti I, Werlen K, Schowe-von der brelie B, Schnettler A (2009) Intelligent self-describing power grids. In: Proceedings of the 20th international conference and exhibition on electricity distribution, 2009. CIRED 2009, Prague, Czech Republic, 8–11 June 2009

  • Tomsovich K, Hiyama T (2001) Intelligent control methods for systems with dispersed generation. In: Proceedings of IEEE Power Engineering Society Winter Meeting 2001, vol 2, pp 913–917, February 2001

  • Vyatkin V, Zhabelova G, Higgins N, Schwarz K, Nair NC (2010) Towards intelligent Smart Grid devices with IEC 61850 interoperability and IEC 61499 open control architecture. In: IEEE conference on transmission and distribution, New Orleans, April

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. Vaccaro.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Vaccaro, A., Zobaa, A.F. Cooperative fuzzy controllers for autonomous voltage regulation in Smart Grids. J Ambient Intell Human Comput 2, 1–10 (2011). https://doi.org/10.1007/s12652-010-0027-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12652-010-0027-x

Keywords

Navigation