Skip to main content

PSO Application to Optimal Placement of UPFC for Loss Minimization in Power System

  • Conference paper
  • First Online:
Proceedings of 2nd International Conference on Intelligent Computing and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 467))

Abstract

This paper presents the efficient contribution of Particle Swarm Optimization (PSO) to select the optimal location and the optimal parameters setting of Unified Power Flow Controller (UPFC) which minimize the active power losses and improve the voltage stability in the power network. UPFC is the most promising FACTS devices for power flow control. The simulations are run on the IEEE 14 bus system to validate the proposed technique. The results shows that the optimal placement and parameter setting of FACTS device.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bose, D., Biswas, S., Vasilakos, A.V., Laha, S.: Optimal filter design using an improved artificial bee colony algorithm. Inf. Sci. 281, 443–461 (2014)

    Article  MathSciNet  Google Scholar 

  2. Dixit, G.P., Dubey, H.M., Pandit, M., Panigrahi, B.K.: Artificial bee colony optimization for combined economic load and emission dispatch. In: IET Conference Publications, (583 CP), pp. 340–345 (2011)

    Google Scholar 

  3. Biswas, S., Kundu, S., Bose, D., Das, S., Suganthan, P.N., Panigrahi, B.K.: Migrating forager population in a multi-population artificial bee colony algorithm with modified perturbation schemes. In: IEEE Symposium on Swarm Intelligence (SIS), pp. 248–255 (2013)

    Google Scholar 

  4. Das, S., Biswas, S., Panigrahi, B.K., Kundu, S., Basu, D.: A spatially informative optic flow model of bee colony with saccadic flight strategy for global optimization. IEEE Trans. Cybern. 44(10), 1884–1897 (2014)

    Article  Google Scholar 

  5. Gao, W.-f., Liu, S.-Y., Huang, L.-L.: A novel artificial bee colony algorithm based on modified search equation and orthogonal learning. IEEE Trans. Cybern. 43(3), 1011–1024 (2012)

    Google Scholar 

  6. Hingorani, N.G., Gyugyi, L.: Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems. IEEE Press, New York (2000)

    Google Scholar 

  7. Canizares, C.A.: Modeling and implementation of TCR and VSI based FACTS controllers. Internal report, ENEL and Politecnico di Milano, Milan, Italy (1999)

    Google Scholar 

  8. Mori, H., Goto, Y.: A parallel tabu search based method for determining optimal allocation of FACTS in power systems. In: Proceedings of the International Conference on Power System Technology (PowerCon 2000), vol. 2, pp. 1077–1082 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C. Subramani .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media Singapore

About this paper

Cite this paper

Subramani, C., Jimoh, A.A., Dash, S.S., Harishkiran, S. (2017). PSO Application to Optimal Placement of UPFC for Loss Minimization in Power System. In: Deiva Sundari, P., Dash, S., Das, S., Panigrahi, B. (eds) Proceedings of 2nd International Conference on Intelligent Computing and Applications. Advances in Intelligent Systems and Computing, vol 467. Springer, Singapore. https://doi.org/10.1007/978-981-10-1645-5_19

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-1645-5_19

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1644-8

  • Online ISBN: 978-981-10-1645-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics