Skip to main content

Reliability Evaluation of Distribution Systems Incorporating Distributed Generators Using Monte Carlo Simulation

  • Conference paper
  • First Online:
Proceedings of the 5th International Conference on Electrical Engineering and Automatic Control

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 367))

  • 2484 Accesses

Abstract

To evaluate the reliability of distribution network containing distributed generations (DGs), at first the stochastic characteristics of power output of wind power generation and microturbine (MT) are researched, and a reliability model of hybrid generation consisting of DG is built. The Monte Carlo simulation (MCS) algorithm is applied to a modified main feeder of RBTS Bus 6 distribution network. The wind turbine (WT) generator is an example to establish the reliability of distributed power intermittent assessment model. Finally, the reliability of RBTS Bus 6 is evaluated by the built model and the proposed algorithm. This evaluation results show that the penetration of DG can improve the reliability indices of the distribution network.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
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. Li Z, Xu Q, Li Z (2011) Reliability analysis of distributed system with DGs. 4th international conference on electric utility deregulation and restructuring and power technologies (DRPT), China

    Google Scholar 

  2. Lin S, Han M, Fan R Hu X (2011) Configuration of energy storage system for distribution network with high penetration of PV. IET renewable power generation conference (RPG 2011), Edinburgh, September 2011

    Google Scholar 

  3. Liang HS, Su J, Liu SG (2010) Reliability evaluation of distribution system containing microgrid. China international conference of electricity distribution (CICED), China, September 2010

    Google Scholar 

  4. Billinton R, Wang P (1999) Teaching distribution system reliability evaluation using Monte Carlo simulation. IEEE Trans Power Sys 14(2):397–403

    Google Scholar 

  5. Longyun K, Hongxia G et al (2010) Characteristics of distributed generation system and related research issues caused by connecting it to power system. Power Sys Technol 34(11):43–47 (in Chinese)

    Google Scholar 

  6. Wu Y (2011) Reliability evaluation of distribution system with distributed generators. Beijing, China

    Google Scholar 

  7. Lu J, Zhao Y (2013) A Point estimation method for reliability evaluation of distribution network with distributed generation. Power System Technology, China

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Zhenpeng Wu or Aoying Ji .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wu, Z., Ji, A. (2016). Reliability Evaluation of Distribution Systems Incorporating Distributed Generators Using Monte Carlo Simulation. In: Huang, B., Yao, Y. (eds) Proceedings of the 5th International Conference on Electrical Engineering and Automatic Control. Lecture Notes in Electrical Engineering, vol 367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48768-6_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-48768-6_42

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-48766-2

  • Online ISBN: 978-3-662-48768-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics