Skip to main content
SpringerLink
Log in

Optimal DG Planning and Operation for Enhancing Cost Effectiveness of Reactive Power Purchase

  • Conference paper
  • First Online:
Congress on Intelligent Systems

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 111))

  • 627 Accesses

Abstract

The demand for reactive power support from distributed generation (DG) sources has become increasingly necessary due to the growing penetration of DG in the distribution network. Photovoltaic (PV) systems, fuel cells, micro-turbines, and other inverter-based devices can generate reactive power. While maximizing profits by selling as much electricity as possible to the distribution companies (DisCos) is the main motive for the DG owners, technical parameters like voltage stability, voltage profile and distribution losses are of primary concern to the (DisCos). Local voltage regulation can reduce system losses, improve voltage stability and thereby improve efficiency and reliability of the system. Participating in reactive power compensation reduces the revenue generating active power from DG, thereby reducing DG owner’s profits. Payment for reactive power is therefore being looked at as a possibility in recent times. Optimal power factor (pf) of operation of DG becomes significant in this scenario. The study in this paper is presented in two parts. The first part proposes a novel method for determining optimal sizes and locations of distributed generation in a radial distribution network. The method proposed is based on the recent optimization algorithm, Teaching–Learning-Based Optimization with Learning Enthusiasm Mechanism (LebTLBO). The effectiveness of the method has been compared with existing methods in the literature. The second part deals with the determination of optimal pf of operation of DG sources to minimize reactive power cost, reduce distribution losses and improve voltage stability. The approach’s effectiveness has been tested with IEEE 33 and 69 bus radial distribution systems.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
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

Similar content being viewed by others

References

  1. Prakash DB, Lakshminarayana C (2016) Multiple DG placements in distribution system for power loss reduction using PSO algorithm. Procedia Technol 25:785–792

    Article  Google Scholar 

  2. Shaaban MF, Atwa YM, El-Saadany EF (2013) DG allocation for benefit maximization in distribution networks. IEEE Trans Power Syst 28:639–649

    Google Scholar 

  3. Chandramohan S, SathishKumar P, Mohamed Imran A (2016) Optimal placement of capacitors in radial distribution system using shark smell optimization algorithm. Ain Shams Eng J 7(2):907–916

    Article  Google Scholar 

  4. Morave Z, Ardejani PE, Imani A (2018) Optimum placement and sizing of DG units based on improving voltage stability using multi-objective evolutionary algorithm. J Renew Sustain Energy10:055304

    Google Scholar 

  5. Sanjay R, Jayabarathi T, Raghunathan T, Ramesh V, Mithulananthan N (2017) Optimal allocation of distributed generation using hybrid grey wolf optimizer. IEEE Access 5:14807–14818

    Article  Google Scholar 

  6. Huy PD, Ramachandaramurthy VK, Yong JY, Tan KM, Ekanayake JB (2020) Optimal placement, sizing and power factor of distributed generation: a comprehensive study spanning from the planning stage to the operation stage. Energy 195:117011

    Google Scholar 

  7. Suresh MCV, Belwin EJ (2018) Optimal DG placement for benefit maximization in distribution networks by using Dragonfly algorithm. Renewables 5(4)

    Google Scholar 

  8. Sa’ed JA, Amer M, Bodair A, Baransi A, Favuzza S, Zizzo G (2019) A simplified analytical approach for optimal planning of distributed generation in electrical distribution networks. Appl Sci 9(24):5446

    Google Scholar 

  9. Memarzadeh G, Keynia F (2020) A new index-based method for optimal DG placement in distribution networks. Eng Rep 2:e12243

    Google Scholar 

  10. Samala RK, Mercy Rosalina K (2020) Optimal allocation of multiple photo-voltaic and/or wind-turbine based distributed generations in radial distribution system using hybrid technique with fuzzy logic controller. J Electr Eng Technol 16:101–113

    Google Scholar 

  11. Rama Prabha D, Jayabarathi T (2016) Optimal placement and sizing of multiple distributed generating units in distribution networks by invasive weed optimization algorithm. Ain Shams Eng J 7(2):683–694

    Google Scholar 

  12. Rahmani-andebili M (2016) Simultaneous placement of DG and capacitor in distribution network. Electr Power Syst Res 131:1–10

    Google Scholar 

  13. Rao RV, Savsani VJ, Vakharia DP (2011) Teaching-learning based optimization: a novel method for constrained mechanical design optimization problems. Comput-Aided Des 43(3):303–315

    Article  Google Scholar 

  14. Mohanty B, Tripathy S (2016) A teaching learning based optimization technique for optimal location and size of DG in distribution network. J Electr Syst Inf Technol 3:33–44

    Article  Google Scholar 

  15. Biplab B, Rohit B (2016) Teaching learning based optimization algorithm for reactive power planning. Int J Electr Power Energy Syst 81:248–253

    Article  Google Scholar 

  16. Zou F, Chen D, Qingzheng X (2019) A survey of teaching–learning-based optimization. Neurocomputing 335:366–383

    Article  Google Scholar 

  17. Chen X, Xu S, Yu K, Du W (2018) Teaching-learning-based optimization with learning enthusiasm mechanism and its applications in chemical engineering. J Appl Math 19 (Article ID 1806947)

    Google Scholar 

  18. Haque MH (1996) Efficient load flow method for distribution systems with radial or mesh configuration. IEE Proc Gener Transm Distrib 143(1):33–38

    Article  Google Scholar 

  19. Chakravorty M, Das D (2001) Voltage stability analysis of radial distribution networks. Int J Electr Power Energy Syst 23(2):129–135

    Google Scholar 

  20. Kashem MA, Ganapathy V, Jasmon GB, Buhari MI (2000) A novel method for loss minimization in distribution networks. In: Proceedings of the international conference on electric utility deregulation and restructuring and power technologies. City University, London, pp 251–256

    Google Scholar 

  21. Baran ME, Wu FF (1989) Optimum sizing of capacitor placed on radial distribution systems. IEEE Trans Power Del 4(1):735–743

    Google Scholar 

  22. Parthasarathy L, Ananthapadmanabha T (2014) A frame work for cost of reactive energy for generators in deregulated electricity market. Int J Eng Res Technol (IJERT) 3(1):2303–2309

    Google Scholar 

  23. Kefayat M, Lashkar Ara A, Nabavi Niaki SA (2015) A hybrid of ant colony optimization and artificial bee colony algorithm for probabilistic optimal placement and sizing of distributed energy resources. Energy Convers Manage 92:149–161

    Google Scholar 

  24. Mahmoud K, Yorino N, Ahmed A (2016) Optimal distributed generation allocation in distribution systems for loss minimization. IEEE Trans Power Syst 31(2):960–969

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, Karnataka, 560074, India

    Nirmala John, Varaprasad Janamala & Joseph Rodrigues

Authors
  1. Nirmala John
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Varaprasad Janamala
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Joseph Rodrigues
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nirmala John .

Editor information

Editors and Affiliations

  1. Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, India

    Mukesh Saraswat

  2. Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India

    Harish Sharma

  3. Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India

    K. Balachandran

  4. Korea University, Seoul, Korea (Republic of)

    Joong Hoon Kim

  5. South Asian University, New Delhi, India

    Jagdish Chand Bansal

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

John, N., Janamala, V., Rodrigues, J. (2022). Optimal DG Planning and Operation for Enhancing Cost Effectiveness of Reactive Power Purchase. In: Saraswat, M., Sharma, H., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Congress on Intelligent Systems. Lecture Notes on Data Engineering and Communications Technologies, vol 111. Springer, Singapore. https://doi.org/10.1007/978-981-16-9113-3_35

Download citation

Publish with us

Policies and ethics

Search

Navigation