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Multi-bus Generation Expansion Planning

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Book cover Electric Power System Planning

Part of the book series: Power Systems ((POWSYS))

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Abstract

As detailed in Chap. 5, GEP is, in fact, the process of determining the generation requirements for a system so that the loads can be satisfied in an efficient (typically the most economical) manner while various technical or non-technical constraints are met. The approach presented in Chap. 5 was based on single bus representation of the system. In other words, we basically ignored the transmission system and found out the total generation requirements based on an optimization model.

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Notes

  1. 1.

    Think of an alternative index in which the number of generation units is, somehow, accounted for.

  2. 2.

    γ is the average cost per unit length of a line.

  3. 3.

    b i is expressed in terms of loading of an overloaded line. If for instance, the capacity of a line is 200 MVA and its loading is 240 MVA, b i is 1.2.

References

  1. Billinton R, Allan RN (1996) Reliability evaluation of power systems, 2nd edn. Plenum Press, New York

    Google Scholar 

  2. International Atomic Energy Agency (IAEA) (2001) Wien automatic system planning (WASP), user manual. www-pub.iaea.org/MTCD/publications/PDF/CMS-16.pdf

  3. Montfort B, Lederer P (1986) Generation planning at Électricité de France—a sharper focus for the coming decades. Int J Electr Power Energy Syst 8(2):75–92

    Article  Google Scholar 

  4. Sevilgen SH, Erdem HH, Cetin B, Akkaya AV, Dağdaş A (2005) Effect of economic parameters on power generation expansion planning. Energy Convers Manage 46(11–12):1780–1789

    Article  Google Scholar 

  5. Park YM, Park JB, Won JR (1998) A hybrid genetic algorithm/dynamic programming approach to optimal long-term generation expansion planning. Int J Electr Power Energy Syst 20(4):295–303

    Article  Google Scholar 

  6. Antunes CH, Martins AG, Brito IS (2004) A multiple objective mixed integer linear programming model for power generation expansion planning. Energy 29(4):613–627

    Article  Google Scholar 

  7. Ramos A, Perez-Arriaga IJ, Bogas J (1989) A nonlinear programming approach to optimal static generation expansion planning. IEEE Trans Power Syst 4(3):1140–1146

    Article  Google Scholar 

  8. Murugan P, Kannan S, Baskar S (2009) NSGA-II algorithm for multi-objective generation expansion planning problem. Electr Power Syst Res 79(4):622–628

    Article  Google Scholar 

  9. Kannan S, Slochanal SMR, Subbaraj P, Padhy NP (2004) Application of particle swarm optimization technique and its variants to generation expansion planning problem. Electr Power Syst Res 70(3):203–210

    Article  Google Scholar 

  10. Kandil MS, Farghal SA, Abdel-Aziz MR (1992) Knowledge base of an expert system for generation expansion planning. Electr Power Syst Res 23(1):59–70

    Article  Google Scholar 

  11. Zhu J, Chow M (1997) A review of emerging techniques on generation expansion planning. IEEE Trans Power Syst 12(4):1722–1728

    Article  Google Scholar 

  12. Kannan S, Slochanal SMR, Padhy NP (2005) Application and comparison of metaheuristic techniques to generation expansion planning problem. IEEE Trans Power Syst 20(1):466–475

    Article  Google Scholar 

  13. Pereira MVF, Pinto LMVG, Cunha SHF, Oliveira GC (1985) A decomposition approach to automated generation/transmission expansion planning. IEEE Trans Power Apparatus and Syst PAS-104(11):3074–3083

    Google Scholar 

  14. Li W, Billinton R (1993) A minimum cost assessment method for composite generation and transmission system expansion planning. IEEE Trans Power Syst 8(2):628–635

    Article  Google Scholar 

  15. Samarakoon HMDRH, Shrestha RM, Fujiwara O (2001) A mixed integer linear programming model for transmission expansion planning with generation location selection. Int J Electr Power Energy Syst 23(4):285–293

    Article  Google Scholar 

  16. Liu G, Sasaki H, Yorino N (2001) Application of network topology to long range composite expansion planning of generation and transmission lines. Electr Power Syst Res 57(3):157–162

    Article  Google Scholar 

  17. Ramachandran K, Sharma JD (1978) A method for generation and transmission planning. Comput Electr Eng 5(2):171–178

    Article  MATH  Google Scholar 

  18. Murugan P, Kannan S, Baskar S (2009) Application of NSGA-II algorithm to single-objective transmission constrained generation expansion planning. IEEE Trans Power Syst 24(4):1790–1797

    Article  Google Scholar 

  19. Sepasian MS, Seifi H, Foroud AA, Hatami AR (2009) A multiyear security constrained hybrid generation-transmission expansion planning algorithm including fuel supply costs. IEEE Trans Power Syst 24(3):1609–1618

    Article  Google Scholar 

 

  • The references addressed for this chapter are the same as those introduced in Chap. 5. [1] is a reference book about power system reliability evaluation. [2] introduces WASP, the package developed by IAEA for GEP. [3] covers some practical issues for GEP in France at the time of publication. The economic parameters affecting GEP are discussed in [4]. Some mathematical based algorithms for GEP are covered in [5–7], while some non-mathematical based ones are introduced in [8–10]. Review and comparison of these algorithms are given in [11, 12]. If GEP and TEP are to be analyzed together, the problem becomes highly complex. Some algorithms are covered in [13–19].

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Author information

Authors and Affiliations

  1. Iran Power System Engineering Research Center, Ehran, Iran

    Hossein Seifi

  2. School of Engineering, Department of Industrial Engineering, Tarbiat Modarres University, PO Box 14115-143, Tehran, Iran

    Hossein Seifi

  3. University of Technology,Affiliated to Ministry of Energy of Iran, Abbaspour Street, Tehran, Iran

    Mohammad Sadegh Sepasian

Authors
  1. Hossein Seifi
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  2. Mohammad Sadegh Sepasian
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Correspondence to Hossein Seifi .

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© 2011 Springer-Verlag Berlin Heidelberg

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Seifi, H., Sepasian, M.S. (2011). Multi-bus Generation Expansion Planning. In: Electric Power System Planning. Power Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17989-1_6

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  • DOI: https://doi.org/10.1007/978-3-642-17989-1_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17988-4

  • Online ISBN: 978-3-642-17989-1

  • eBook Packages: EngineeringEngineering (R0)

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