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Impact of Wind Power Penetration on Unit Commitment

  • Conference paper
Book cover Intelligent Computing in Smart Grid and Electrical Vehicles (ICSEE 2014, LSMS 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 463))

Abstract

Wind farm outputs have the features of intermittence and variability which impose a significant impact on the operation of power systems. In this paper, Latin hypercube sampling (LHS) and reduction technique is used to simulate the 24h power output of a wind farm. Then a model of unit commitment (UC) with predicted wind power (UCW) is established, and a harmony search (HS) with arithmetic crossover operation (ACHS) is employed for solving this problem. The results are analyzed in detail, which assess the impact of wind power on UC and demonstrate that ACHS is practicable for UCW problem with comparison with other proposed HS methods.

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References

  1. Padhy, N.P.: Unit Commitment – A Bibliographical Survey. IEEE Trans. Power Syst. 19, 1196–1205 (2004)

    Article  Google Scholar 

  2. Ongsakul, W., Petcharaks, N.: Unit Commitment by Enhanced Adaptive Lagrangian Relaxation. IEEE Trans. Power Syst. 19, 620–628 (2004)

    Article  Google Scholar 

  3. Prateek, K.S., Sharma, R.N.: Dnamic Programming Approach for Large Scale Unit Commitment Problem. In: 2011 International Conference on Communication Systems and Network Technologies, pp. 714–717. IEEE press (2011)

    Google Scholar 

  4. Damousis, I.G., Bakirtzis, A.G., Dokopoulos, P.S.: A Solution to the Unit-commitment Problem Using Integer-code Genetic Algorithm. IEEE Trans. Power Syst. 19, 577–585 (2004)

    Article  Google Scholar 

  5. Yuan, X., Su, A., Nie, H., Yuan, Y., Wang, L.: Unit Commitment Problem Using Enhanced Particle Swarm Optimization Algorithm. Soft Comput. 15, 139–148 (2011)

    Article  Google Scholar 

  6. Yuan, X., Su, A., Nie, H., Yuan, Y., Wang, L.: Application of Enhanced Discrete Differential Evolution Approach to Unit Commitment Problem. Energy Convers Manage. 50, 2449–2456 (2009)

    Article  Google Scholar 

  7. Wang, J.H., Shahidehpour, M., Li, Z.Y.: Security-Constrained Unit Commitment With Volatile Wind Power Generation. IEEE Trans. Power Syst. 23, 1319–1327 (2008)

    Article  Google Scholar 

  8. Tuohy, A., Meibom, P., Denny, E., Mark, O.M.: Unit Commitment for Systems With Significant Wind Penetration. IEEE Trans. Power Syst. 24, 592–601 (2009)

    Article  Google Scholar 

  9. Roy, B., Bipul, K., Rajesh, K., Ramakrishna, G.: Unit Commitment Risk Analysis of Wind Integrated Power Systems. IEEE Trans. Power Syst. 24, 930–939 (2009)

    Google Scholar 

  10. Colm, L., Mark, O.M.: Impact of Wind Forecast Error Statistics Upon Unit Commitment. IEEE Trans. Sustain. Energy 3, 760–768 (2012)

    Article  Google Scholar 

  11. Geem, Z.W., Kim, J.H., Loganathan, G.V.: A New Heuristic Optimization Algorithm: Harmony Search. Simulation 76, 60–68 (2001)

    Article  Google Scholar 

  12. Amjady, N., Nasiri-Rad, H.: Nonconvex Economic Dispatch with AC Constraints by A New Real Coded Genetic Algorithm. IEEE Trans. Power Syst. 24, 1489–1502 (2009)

    Article  Google Scholar 

  13. Niu, Q., Zhang, H.Y., Wang, X.H., Li, K., George, W.I.: A Hybrid Harmony Search with Arithmetic Crossover Operation for Economic Dispatch. Electrical Power and Energy Systems 62, 237–257 (2014)

    Article  Google Scholar 

  14. Wu, L., Shahidehpour, M., Li, T.: A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem. IEEE Trans. Power Syst. 22, 800–811 (2007)

    Article  Google Scholar 

  15. Carrion, M., Arroyo, J.M.: Stochastic Security-Constrained Unit Commitment. IEEE Trans. Power Syst. 21, 1371–1378 (2006)

    Article  Google Scholar 

  16. Mahdavi, M., Fesanghary, M., Damangir, E.: An Improved Harmony Search Algorithm for Sovling Optimization Problems. Appl. Math. Comput. J. 188, 1567–1579 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  17. Omran, M.G.H., Mahdavi, M.: Global-best harmony search. Appl. Math. Comput. J. 198, 643–656 (2008)

    Article  MathSciNet  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. School of Mechatronic Engineering and Automation, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai University, Shanghai, 200072, China

    Qun Niu, Letian Zhang & Hongyun Zhang

Authors
  1. Qun Niu
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  2. Letian Zhang
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  3. Hongyun Zhang
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Editor information

Editors and Affiliations

  1. The Queen’s University, Belfast, UK

    Kang Li

  2. State Grid Electric Power Research Institute, Jiangsu, China

    Yusheng Xue

  3. Harbin Institute of Technology, China

    Shumei Cui

  4. Shanghai University, China

    Qun Niu

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© 2014 Springer-Verlag Berlin Heidelberg

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Niu, Q., Zhang, L., Zhang, H. (2014). Impact of Wind Power Penetration on Unit Commitment. In: Li, K., Xue, Y., Cui, S., Niu, Q. (eds) Intelligent Computing in Smart Grid and Electrical Vehicles. ICSEE LSMS 2014 2014. Communications in Computer and Information Science, vol 463. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45286-8_41

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  • DOI: https://doi.org/10.1007/978-3-662-45286-8_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45285-1

  • Online ISBN: 978-3-662-45286-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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