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Comparative Analysis on Security-Constrained Optimal Power Flow Using Linear Sensitivity Factors-Based Contingency Screening

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Innovations in Infrastructure

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 757))

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Abstract

Security-Constrained Optimal Power Flow (SCOPF) is a significant tool used for analysis of power system operation and planning. This paper presents a solution of SCOPF considering critical contingencies simulated on IEEE 30-bus system. The main objective of the presented work is to minimize the total generation cost. An interior point algorithm has been used to find out a feasible and optimal solution with minimum computational time for secured power system operation. Contingency screening for SCOPF formulation has been accomplished with the help of Linear Sensitivity Factors (LSFs) obtained from the Z-bus algorithm. Comparative analysis has been carried out for the results obtained with those of other techniques published in the literature for same test cases.

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References

  1. Alsac, O., Stott, B.: Optimal load flow with steady-state security. IEEE Trans. Power Appar. Syst. PAS-93(3), 745–751 (1974)

    Article  Google Scholar 

  2. Monticelli, A., Pereira, M.V.F., Granville, S.: Security-constrained optimal power flow with post-contingency corrective rescheduling. IEEE Trans. Power Syst. 2(1), 175–180 (1987)

    Article  Google Scholar 

  3. Momoh, J.A., El-Hawary, M.E., Adapa, R.: A review of selected optimal power flow literature to 1993 part I: nonlinear and quadratic programming approaches. IEEE Trans. Power Syst. 14(1), 96–103 (1999)

    Article  Google Scholar 

  4. Monoh, J.A., Ei-Hawary, M.E., Adapa, R.: A review of selected optimal power flow literature to 1993 part II: Newton, linear programming and interior point methods. IEEE Trans. Power Syst. 14(1), 105–111 (1999)

    Article  Google Scholar 

  5. Capitanescu, F., Glavic, M., Ernst, D., Wehenkel, L.: Interior-point based algorithms for the solution of optimal power flow problems. Electr. Power Syst. Res. 77(5–6), 508–517 (2007)

    Article  Google Scholar 

  6. Gunda, J., Djokic, S., Langella, R., Testa, A.: Comparison of conventional and meta-methods for security-constrained OPF analysis. In: 2015 AEIT International Annual Conference (AEIT), pp. 58–65 (2015)

    Google Scholar 

  7. J. J. Grainer and W. Stevenson, Power System Analysis. McGraw-Hill, 1994

    Google Scholar 

  8. Wood, A.J., Wollenberg, B.F.: Power Generation, Operation, and Control. Wiley, New York (1984)

    Google Scholar 

  9. Christie, R: Power Systems Test Case Archive. Washington University, 2013. www.ee.Washington.edu/research/pstca

  10. Zimmerman, R.D., Murillo-Sánchez, C.E., Thomas, R.J.: MATPOWER’s extensible optimal power flow architecture. In: 2009 IEEE Power and Energy Society General Meeting, PES’09, no. 2, pp. 1–7 (2009)

    Google Scholar 

  11. Ongsakul, W., Tantimaporn, T.: Optimal power flow by improved evolutionary programming. Electr. Power Compon. Syst. 34(1), 79–95 (2006)

    Article  Google Scholar 

  12. Thitithamrongchai, C., Eua-Arporn, B.: Security-constrained optimal power flow: a parallel self-adaptive differential evolution approach. Electr. Power Compon. Syst. 36(3), 280–298 (2008)

    Article  Google Scholar 

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Authors and Affiliations

  1. Shantilal Shah Engineering College, Bhavnagar, Gujarat, India

    Darshan B. Rathod & Rinkesh A. Jain

Authors
  1. Darshan B. Rathod
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  2. Rinkesh A. Jain
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Corresponding author

Correspondence to Darshan B. Rathod .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, IITRAM, Ahmedabad, Gujarat, India

    Dipankar Deb

  2. Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

  3. Department of Electrical Engineering, National Institute of Technology, Silchar, Silchar, Assam, India

    Rajeeb Dey

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Rathod, D.B., Jain, R.A. (2019). Comparative Analysis on Security-Constrained Optimal Power Flow Using Linear Sensitivity Factors-Based Contingency Screening. In: Deb, D., Balas, V., Dey, R. (eds) Innovations in Infrastructure. Advances in Intelligent Systems and Computing, vol 757. Springer, Singapore. https://doi.org/10.1007/978-981-13-1966-2_12

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  • DOI: https://doi.org/10.1007/978-981-13-1966-2_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1965-5

  • Online ISBN: 978-981-13-1966-2

  • eBook Packages: EngineeringEngineering (R0)

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