Skip to main content
Log in

A multi-objective fuzzy adaptive PSO algorithm for location of automatic voltage regulators in radial distribution networks

  • Regular Papers
  • Control Applications
  • Published:
International Journal of Control, Automation and Systems Aims and scope Submit manuscript

Abstract

This paper proposes a multi-objective optimal location of Automatic Voltage Regulators (AVRs) in distribution systems at the presence of Distributed Generators (DGs) by a Fuzzy Adaptive Particle Swarm Optimization (FAPSO) algorithm. The proposed algorithm utilizes an external repository to save founded Pareto optimal solutions during the search process. The proposed technique allows the decision maker to select one of the Pareto optimal solutions (by trade-off) for different applications. The performance of the suggested algorithm on a 70-bus distribution network in comparison with other evolutionary methods such as Genetic algorithm and PSO is extraordinary.

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.

Institutional subscriptions

Similar content being viewed by others

References

  1. D. Devaraj and B. Selvabala, “Real-coded genetic algorithm and fuzzy logic approach for real-time tuning of proportional-integral-derivative controller in automatic voltage regulator system,” IET Generation, Transmission and Distribution, vol. 3, no. 7, pp. 641–649, July 2009.

    Article  Google Scholar 

  2. J. E. Mendoza, D. A. Morales, R. A. Lopez, E. A. Lopez, J. C. Vannier, and C. A. Coello Coello, “Multiobjective location of automatic voltage regulators in a radial distribution network using a micro genetic algorithm,” IEEE Trans. on Power Systems, vol. 22, no. 1, pp. 404–412, Feb. 2007.

    Article  Google Scholar 

  3. T. Niknam, B. Bahmani Firouzi, and A. Ostadi, “A new fuzzy adaptive particle swarm optimization for daily Volt/Var control in distribution networks considering distributed generators,” Applied Energy, vol. 87, no. 6, pp. 1919–1928, June 2010.

    Article  Google Scholar 

  4. H. N. Ng, M. M. A. Salama, and A. Y. Chikhani, “Classification of capacitor allocation techniques,” IEEE Trans. on Power Delivery, vol. 15, no. 1, pp. 387–392, Jan. 2000.

    Article  Google Scholar 

  5. M. A. S. Masoum, A. Jafarian, M. Ladjevardi, E. F. Fuchs, and W. N. Grady, “Fuzzy approach for optimal placement and sizing of capacitor banks in the presence of harmonic” IEEE Trans. on Power Delivery, vol. 16, no. 2, pp. 822–829, Apr. 2004.

    Article  Google Scholar 

  6. J. Chiou, C. Chang, and C. Su, “Ant direction hybrid differential evolution for solving large capacitor placement problems,” IEEE Trans. on Power Systems, vol. 19, no. 4, pp. 1794–1800, Nov. 2004.

    Article  Google Scholar 

  7. C. J. Bridenbaugh, D. A. DiMascio, and R. D’Aquila “Voltage control improvement through capacitor and transformer tap optimization,” IEEE Trans. on Power Systems, vol. 7, no. 1, pp. 222–226, Feb. 1992.

    Article  Google Scholar 

  8. G. V. Roytelman, “Modeling of local controllers in distribution network application,” IEEE Trans. on Power Delivery, vol. 15, no. 4, pp. 1232–1237, Oct. 2000.

    Article  Google Scholar 

  9. D. L. Augugliaro, S. Favazza, and E. Riva, “Voltage regulation and power losses minimization in automated distribution networks by an evolutionary multi objective approach,” IEEE Trans. on Power Systems, vol. 19, no. 3, pp. 1516–1527, Aug. 2004.

    Article  Google Scholar 

  10. S. Civanlar and J. J. Grainger, “Volt/Var control on distribution systems with lateral branches using shunt capacitors and voltage regulators, part I the overall problems,” IEEE Trans. on Power App. Systems, vol. 104, no. 11, pp. 3278–3283, Nov. 1985.

    Article  Google Scholar 

  11. S. Civanlar and J. J. Grainger, “Volt/Var control on distribution systems with lateral branches using shunt capacitors and voltage regulators, part II the solution method,” IEEE Trans. on Power App. Systems, vol. 104, no. 11, pp. 3284–3290, Nov. 1985.

    Article  Google Scholar 

  12. S. Civanlar and J. J. Grainger, “Volt/Var control on distribution systems with lateral branches using shunt capacitors and voltage regulators, part III the numerical results,” IEEE Trans. on Power App. Systems, vol. 104, no. 11, pp. 3291–3297, Nov. 1985.

    Article  Google Scholar 

  13. A. S. Safigianni and G. J. Salis, “Optimum voltage regulator placement in radial power distribution network,” IEEE Trans. on Power Systems, vol. 15, no. 2, pp. 879–886, May 2000.

    Article  Google Scholar 

  14. J. Mendoza, D. Morales, R. Lopez, M. Lopez, E. Lopez, and J. C. Vannier, “Optimal location of voltage regulators in radial distribution networks using genetic algorithms,” Proc. 15th Power Systems Computation Conf., 2005.

  15. D. Das, “A fuzzy multi-objective approach for network reconfiguration of distribution systems,” IEEE Trans. on Power Delivery, vol. 21, no. 1, pp. 202–209, Jan. 2006.

    Article  Google Scholar 

  16. C. A. Coello Coello, G. Toscano Pulido, and M. Salazar Lechuga, “Handling multiple objectives with particle swarm optimization,” IEEE Trans. on Evolutionary Computation, vol. 8, no. 3, pp. 256–279, June 2004.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Taher Niknam.

Additional information

Recommended by Editorial Board member Euntai Kim under the direction of Editor Young-Hoon Joo.

Taher Niknam was born in Shiraz, Iran. He received his B.S., M.S., and Ph.D. degrees from Shiraz University and Sharif University of Technology. He is a faculty member at the electrical engineering department of Shiraz University of Technology. His research interests include power system restructuring and optimization methods.

Mohammad Rasoul Narimani was born in Kermanshah, Iran. He received his B.Sc. in electric power engineering from Razi University and currently he is a M.S. student at Shiraz University of Technology. His research interests include power system operation and evolutionary algorithms.

Rasoul Azizipanah-Abarghooee was born in Yazd, Iran, in 1987. He received his B.Sc. in electric power engineering from Isfahan University of Technology in 2008 and currently he is a M.S. student at Shiraz University of Technology. His research interests include power system operation and evolutionary algorithms.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Niknam, T., Narimani, M.R. & Azizipanah-Abarghooee, R. A multi-objective fuzzy adaptive PSO algorithm for location of automatic voltage regulators in radial distribution networks. Int. J. Control Autom. Syst. 10, 772–777 (2012). https://doi.org/10.1007/s12555-012-0413-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12555-012-0413-6

Keywords

Navigation