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Optimal Voltage and Reactive Power Control of Local Area Using Genetic Algorithm

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4253))

Abstract

To improve the voltage profile and to reduce system losses, many switched shunt capacitors are used in a power system. It is necessary to coordinate them for operating the system effectively. In this study, a genetic algorithm (GA) is used to find optimal coordination of switched shunt capacitors within a local area of a power system. To verify the effectiveness of the proposed method, a simulation is performed of KEPCO (Korea Electric Power Corporation) power system.

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References

  1. Kobayashi, H., et al.: Diakoptic Approach to Sensitivity Analysis in Large-scale Systems. IEEE/PES Summer Meeting, Los Angeles, Paper No. A78531-6 (July 1978)

    Google Scholar 

  2. Liang, R.H., Wang, Y.S.: Main Transformer ULTC and Capacitors Scheduling by Simulated Annealing Approach. Electrical Power & Energy Systems 5(2), 531–538 (2001)

    Article  Google Scholar 

  3. Le, T.L., Negnevitsky, M.: Expert System Application for Voltage and VAR Control in Power Transmission and Distribution Systems. IEEE Trans. On Power Delivery 12(3), 1392–1397 (1997)

    Article  Google Scholar 

  4. Santoso, N.I., Tan, O.T.: Neural-net Based Real-time Control of Capacitors Installed on Distribution Systems. IEEE Trans. On Power System 5(1), 266–272 (1990)

    Google Scholar 

  5. Power Technologies Inc., PSS/E-24 Power System Simulator Program Operation Manual & Application Guide (December 1995)

    Google Scholar 

  6. Power Technologies Inc., PSS/E-24 IPLAN Ver. 11.0 (December 1995)

    Google Scholar 

  7. Goldberg, D.E.: Genetic Algorithms in Search, Optimization & Machine Learning. Addison-Wesley, Reading (1989)

    MATH  Google Scholar 

  8. Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs, 3rd edn. Springer, Heidelberg (1996)

    MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Korea Electrotechnology Research Institute, Uiwang-city, Gyeonggi-do, S. Korea

    Hak-Man Kim & Tae-Kyoo Oh

  2. Korea Electrotechnology Research Institute, Changwon-city, Gyeongnam-do, S. Korea

    Jong-Yul Kim

  3. Sungkyunkwan University, Suwon-city, Gyeonggi-do, S. Korea

    Chang-Dae Yoon & Myong-Chul Shin

Authors
  1. Hak-Man Kim
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  2. Jong-Yul Kim
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  3. Chang-Dae Yoon
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  4. Myong-Chul Shin
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  5. Tae-Kyoo Oh
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Kim, HM., Kim, JY., Yoon, CD., Shin, MC., Oh, TK. (2006). Optimal Voltage and Reactive Power Control of Local Area Using Genetic Algorithm. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_114

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  • DOI: https://doi.org/10.1007/11893011_114

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46542-3

  • Online ISBN: 978-3-540-46544-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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