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Investigation of Nigerian 330 Kv Electrical Network with Distributed Generation Penetration – Part II: Optimization Analyses

Published: 30 December 2012
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Abstract

The objective of this paper is to present the tools implemented in PowerFactory for the optimization of the proposed network. It involves the calculate optimal power flow analysis (OPF); optimal placement, type and size of capacitors in the network; the optimal type of reinforcement cables and overhead lines and lastly, optimization of a certain objective function in a network, whilst fulfilling equality constraints (the load flow equations) and inequality constraints (that is, generator reactive power limits). The applications of the OPF include transmission line overload removal, transmission system control, available transfer capability calculation (ATC), real and reactive power pricing, transmission component valuation, and transmission system mar-ginal pricing. Power capacitors are very useful for power factor correction, loss reduction, voltage profile improvement and dis-tribution system-capacity release/increase. The conductor, which is determined by this optimization method, maintains acceptable voltage levels of the radial distribution system. Besides, it gives maximum saving in the capital cost of conducting material and cost of energy losses. The method also shows that only proper selection of optimum branch conductors reduces losses.

Published in International Journal of Energy and Power Engineering (Volume 1, Issue 1)
DOI 10.11648/j.ijepe.20120101.12
Page(s) 20-30
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2012. Published by Science Publishing Group

Keywords

Optimization, Optimal Placement, Reinforcement Cables, Overhead Lines, Load Flow, Inequality Constraints, Po-werfactory, Digsilent

References
[1] DIgSILENT PowerFactory Version 14.1 Tutorial, DIgSILENT GmbH Heinrich-Hertz-StraBe 9, 72810 Gomaringen, Germany, May, 2011.
[2] Gallego R. A. , Monticelli A. J. , and Romero R. , Optimal Capacitor Placement in Radial Distribution Networks IEEE Transactions on Power Systems, Vol. 16, No. 4, November 2001.
[3] Khalil T. M. , Youssef H. K. M. , Abdel Aziz M. M. A Binary Particle Swarm Optimization for Optimal Placement and Sizing of Capacitor Banks in Radial Distribution Feeders with Distorted Substation Voltages AIML 06 International Conference, 13 - 15 June 2006, Sharm El Sheikh, Egypt.
[4] Baghzouz Y. , Ertem S. , Shunt Capacitor Sizing for Radial Distribution Feeders with Distorted Substation Voltages, IEEE Trans. on Power Delivery, Vol. 5, No. 2, pp. 650-657, April 1990.
[5] Rao R. S. Capacitor Placement in Radial Distribution System for Loss Reduction Using Artificial Bee Colony Algorithm, International Journal of Engineering and Natural Sciences 4:2 2010.
[6] Dr. G. Thomas Bellarmine, Optimum Series Compensated High Voltage Transmission Lines, Southeastcon '97 'Engineering New Century', Proceedings, IEEE 12-14 April 1997 P307-309.
[7] Sivanagaraju1 S. and Rao J. V. , Optimal conductor selection in radial distribution system using discrete particle swarm optimization, World Journal of Modelling and Simulation, Vol. 5, No. 2, pp. 96-104, 2009.
[8] Lo K. L and Nashid, I. Interactive expert system for optimal design of electricity distribution systems, IEE Proceedings on Generation, Transmission & Distribution, vol.143, no. 2,,pp.143-156, March 1996.
[9] Kapoor M. An Efficient Method for Selection of Optimal Conductors in Planning of Radial Distribution Network, Unpublished M.Sc. Thesis, Thapar University, Patiala, July 2009.
[10] Weber J. D. Implementation Of A Newton-Based Optimal Power Flow Into A Power System Simulation Environment, Unpublished M.Sc. Thesis, University of Illinois at Urbana-Champaign, 1997.
[11] Gan D. , Robert J. Thomas, and Ray D. Zimmerman, Stability-Constrained Optimal Power Flow IEEE Transactions on Power Systems, Vol. 15, No. 2, May 2000.
[12] Chi Su, Zhe Chen, An Optimal Power Flow (OPF) Method with Improved Power System Stability, UPEC2010, 31st Aug - 3rd Sept 2010.
[13] Wang H., Murillo-Sánchez C. E. , Zimmerman R. D. , and Thomas R. J. , On Computational Issues of Market-Based Optimal Power Flow, IEEE Transactions on Power Systems, Vol. 22, No. 3, August 2007.
Cite This Article
  • APA Style

    F. K. Ariyo, O. J. Ojo. (2012). Investigation of Nigerian 330 Kv Electrical Network with Distributed Generation Penetration – Part II: Optimization Analyses. International Journal of Energy and Power Engineering, 1(1), 20-30. https://doi.org/10.11648/j.ijepe.20120101.12

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    ACS Style

    F. K. Ariyo; O. J. Ojo. Investigation of Nigerian 330 Kv Electrical Network with Distributed Generation Penetration – Part II: Optimization Analyses. Int. J. Energy Power Eng. 2012, 1(1), 20-30. doi: 10.11648/j.ijepe.20120101.12

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    AMA Style

    F. K. Ariyo, O. J. Ojo. Investigation of Nigerian 330 Kv Electrical Network with Distributed Generation Penetration – Part II: Optimization Analyses. Int J Energy Power Eng. 2012;1(1):20-30. doi: 10.11648/j.ijepe.20120101.12

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  • @article{10.11648/j.ijepe.20120101.12,
      author = {F. K. Ariyo and O. J. Ojo},
      title = {Investigation of Nigerian 330 Kv Electrical Network with Distributed Generation Penetration – Part II: Optimization Analyses},
      journal = {International Journal of Energy and Power Engineering},
      volume = {1},
      number = {1},
      pages = {20-30},
      doi = {10.11648/j.ijepe.20120101.12},
      url = {https://doi.org/10.11648/j.ijepe.20120101.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20120101.12},
      abstract = {The objective of this paper is to present the tools implemented in PowerFactory for the optimization of the proposed network. It involves the calculate optimal power flow analysis (OPF); optimal placement, type and size of capacitors in the network; the optimal type of reinforcement cables and overhead lines and lastly, optimization of a certain objective function in a network, whilst fulfilling equality constraints (the load flow equations) and inequality constraints (that is, generator reactive power limits). The applications of the OPF include transmission line overload removal, transmission system control, available transfer capability calculation (ATC), real and reactive power pricing, transmission component valuation, and transmission system mar-ginal pricing. Power capacitors are very useful for power factor correction, loss reduction, voltage profile improvement and dis-tribution system-capacity release/increase. The conductor, which is determined by this optimization method, maintains acceptable voltage levels of the radial distribution system. Besides, it gives maximum saving in the capital cost of conducting material and cost of energy losses. The method also shows that only proper selection of optimum branch conductors reduces losses.},
     year = {2012}
    }
    

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    T2  - International Journal of Energy and Power Engineering
    JF  - International Journal of Energy and Power Engineering
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    AB  - The objective of this paper is to present the tools implemented in PowerFactory for the optimization of the proposed network. It involves the calculate optimal power flow analysis (OPF); optimal placement, type and size of capacitors in the network; the optimal type of reinforcement cables and overhead lines and lastly, optimization of a certain objective function in a network, whilst fulfilling equality constraints (the load flow equations) and inequality constraints (that is, generator reactive power limits). The applications of the OPF include transmission line overload removal, transmission system control, available transfer capability calculation (ATC), real and reactive power pricing, transmission component valuation, and transmission system mar-ginal pricing. Power capacitors are very useful for power factor correction, loss reduction, voltage profile improvement and dis-tribution system-capacity release/increase. The conductor, which is determined by this optimization method, maintains acceptable voltage levels of the radial distribution system. Besides, it gives maximum saving in the capital cost of conducting material and cost of energy losses. The method also shows that only proper selection of optimum branch conductors reduces losses.
    VL  - 1
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Author Information
  • Department of Electronic and Electrical Engineering, Ile-Ife, Nigeria

  • Department of Electrical and Computer Engineering, Cookeville, U.S.A.

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