Skip to main content

Acceleration Strategies for Large-Scale Economic Dispatch Models

  • Chapter
  • First Online:
Power System Operation with Large Scale Stochastic Wind Power Integration

Part of the book series: Springer Theses ((Springer Theses))

  • 823 Accesses

Abstract

It should be noted that for the economic dispatch model for the practical large-scale power system with multiple time periods is a combinatorial problem and have a great challenge to solve, especially for the robust optimization model. In this book, spatial reduction and temporal decomposition strategies are proposed to improve the computational efficiency, where spatial reduction is to identify the redundant constraints before solving the model and temporal decomposition is to decompose the multi-period problem into several single-period problems that can be parallel handled.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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. Duffin RJ (1974) On Fourier’s analysis of linear inequality systems. Pivoting and extension. Springer, Berlin, pp 71–95

    Book  Google Scholar 

  2. Bland RG (1977) New finite pivoting rules for the simplex method. Math Oper Res 2(2):103–107

    Article  MathSciNet  MATH  Google Scholar 

  3. Schrijver S (1998) Theory of linear and integer programming. Wiley, New york

    Google Scholar 

  4. Zhai QZ, Guan XH, Cheng JH et al (2010) Fast identification of inactive security constraints in SCUC problems. Power Syst IEEE Trans 25(4):1946–1954

    Article  Google Scholar 

  5. Devore RA, Temlyakov VN (1996) Some remarks on greedy algorithms. Adv Comput Math 5(1):173–187

    Article  MathSciNet  MATH  Google Scholar 

  6. Zimmerman RD, Murillo-Sa X, Nchez CE et al (2011) MATPOWER: steady-state operations, planning, and analysis tools for power systems research and education. Power Syst IEEE Trans 26(1):12–19

    Article  Google Scholar 

  7. Boyd S, Parikh N, Chu E et al (2011) Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends Mech Learn 3(1):1–122

    Article  MATH  Google Scholar 

  8. Richtárik P, Takáč M (2012) Parallel coordinate descent methods for big data optimization. arXiv preprint. arXiv:1212.0873

  9. Kekatos V, Giannakis GB (2013) Distributed robust power system state estimation. Power Syst IEEE Trans 28(2):1617–1626

    Article  Google Scholar 

  10. Dzung P, Kalagnanam J (2014) Some efficient optimization methods for solving the security-constrained optimal power flow problem. Power Syst IEEE Trans 29(2):863–872

    Google Scholar 

  11. Erseghe T (2014) Distributed optimal power flow using ADMM. Power Syst IEEE Trans 29(5):2370–2380

    Article  Google Scholar 

  12. Loukarakis E, Bialek JW, Dent CJ (2014) Investigation of maximum possible OPF problem decomposition degree for decentralized energy markets. Power Syst IEEE Trans, 1–13

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tao Ding .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media Singapore

About this chapter

Cite this chapter

Ding, T. (2017). Acceleration Strategies for Large-Scale Economic Dispatch Models. In: Power System Operation with Large Scale Stochastic Wind Power Integration. Springer Theses. Springer, Singapore. https://doi.org/10.1007/978-981-10-2561-7_6

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-2561-7_6

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2560-0

  • Online ISBN: 978-981-10-2561-7

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics