Skip to main content

Power Loss Minimization and Voltage Improvement with Small Size Distributed Generations in Radial Distribution System Using TOPSIS

  • Conference paper
  • First Online:
Advances in Electric Power and Energy Infrastructure

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 608))

Abstract

The distribution system suffers highest power losses, and hence, the voltage profile and stability conditions are highly affected in this part of power system. The aim of this study is to improve the power quality of the power system by minimizing power loss and improving voltage profile using small size distributed generation (DG) system. Due to limitation on land resources and intermittency, the output of renewable-based power plants is low. Hence in this paper, the effect of small size DG units is studied. Technique for order of preference by similarity to ideal solution (TOPSIS), a multi-criteria decision-making (MCDM) algorithm, is used to find the best location based on the size of DG used. The DG units of 250, 500 and 750 KW are used at these locations to check their effect on convergence of voltage profile and minimization in power losses. Only active power injecting DGs have been used in this paper. The results highlight that the small-sized DG systems installed at different locations give better results in terms of power loss and voltage profile than the large-sized DG placed at single locations and in some cases multiple locations as well. IEEE 33-bus radial distribution system has been used to test the method.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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. Pepermans G et al (2005) Distributed generation: definition, benefits and issues. Energy Policy 33(6):787–798

    Article  Google Scholar 

  2. El-Samahy L, El-Saadany E (2005) The effect of DG on power quality in a deregulated environment. In: IEEE Power Eng Soc Gen Meet, IEEE

    Google Scholar 

  3. Lalitha MP et al (2010) Application of fuzzy and PSO for DG placement for minimum loss in radial distribution system. ARPN J Eng Appl Sci 5(4):32–37

    Google Scholar 

  4. Acharya N, Mahat P, Mithulananthan N (2006) An analytical approach for DG allocation in primary distribution network. Int J Electr Power Energy Syst 28(10):669–678

    Article  Google Scholar 

  5. Meena NK et al (2017) Multi-objective Taguchi approach for optimal DG integration in distribution systems. IET Gen Transm Distrib 11(9):2418–2428

    Article  Google Scholar 

  6. Meena NK et al (2015) A Taguchi-based approach for optimal placement of distributed generations for power loss minimization in distribution system. In: 2015 IEEE Power Energy Soc Gen Meet, IEEE

    Google Scholar 

  7. Moradi MH, Abedini M (2012) A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems. Int J Electr Power Energy Syst 34(1):66–74

    Article  Google Scholar 

  8. Sultana S, Roy PK (2014) Multi-objective quasi-oppositional teaching learning based optimization for optimal location of distributed generator in radial distribution systems. Int J Electr Power Energy Syst 63:534–545

    Article  Google Scholar 

  9. Tzeng GH, JJ Huang (2011) Multiple attribute decision making: methods and applications. Chapman and Hall/CRC

    Google Scholar 

  10. Behzadian M et al (2012) A state-of the-art survey of TOPSIS applications. Expert Syst Appl 39(17):13051–13069

    Article  Google Scholar 

  11. Naik SG, Khatod D, Sharma M (2013) Optimal allocation of combined DG and capacitor for real power loss minimization in distribution networks. Int J Electr Power Energy Syst 53:967–973

    Article  Google Scholar 

  12. Shukla T et al (2010) Optimal sizing of distributed generation placed on radial distribution systems. Electr Power Compon Syst 38(3):260–274

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nivedita Naik .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Naik, N., Vadhera, S. (2020). Power Loss Minimization and Voltage Improvement with Small Size Distributed Generations in Radial Distribution System Using TOPSIS. In: Mehta, A., Rawat, A., Chauhan, P. (eds) Advances in Electric Power and Energy Infrastructure. Lecture Notes in Electrical Engineering, vol 608. Springer, Singapore. https://doi.org/10.1007/978-981-15-0206-4_9

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-0206-4_9

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0205-7

  • Online ISBN: 978-981-15-0206-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics