Application of Hybrid Optimization Technique for Static Var Compensator Installation

  • Authors

    • H. D. Shahrulhisham
    • M. H. Mansor
    • I. Musirin
    • M. Akoury
    • N. Roslan
    • S. A. Syed Mustaffa
    2019-01-18
    https://doi.org/10.14419/ijet.v8i1.7.25983
  • Static Var Compensator, Immune Evolutionary Programming, Evolutionary Programming, Artificial Immune System.

  • Abstract

    Nowadays, the demand for electricity in power system network increased rapidly, influencing the expansion and urbanization of the network. This process results in inefficient system and may lead to unstable power system, high transmission line losses and many more. To alleviate these problems, Flexible Alternating Current Transmission System (FACTS) such as Static Var Compensator (SVC) can be used. An optimally-sized SVC must be placed at an optimal location. In order to find the optimal size of the SVC devices, a hybrid optimization technique called Immune Evolutionary Programming (IEP) is proposed in this paper. The proposed hybrid optimization technique was tested on the IEEE 26-Bus Reliability Test System (RTS) to minimize total voltage deviation index, to reduce transmission line losses and to improve voltage profile. The results of IEP have been compared with the two existing optimization techniques, which are Evolutionary Programming (EP) and Artificial Immune System (AIS). From this comparison, it is found that the proposed IEP method gives better optimization solution in terms of minimized transmission line losses, improved the voltage profile and reduced total voltage deviation compared to the other two techniques.

     

     

  • References

    1. [1] J. G. Singh, S. N. Singh, and S. C. Srivastava, “An Approach for Optimal Placement of Static VAr Compensators Based on Reactive Power Spot Price,†Power Syst. IEEE Trans., vol. 22, no. 4, pp. 2021–2029, 2007.

      [2] V. Janmejay, “SVC , STATCOM , and Transmission Line Rating Enhancements On Induction Generator Driven By Wind Turbine,†vol. 1, no. 12, pp. 2742–2744, 2014.

      [3] M. H. Mansor, M. R. Irving, and G. A. Taylor, “A decomposition/aggregation method for solving electrical power dispatch problems,†in 2012 47th International Universities Power Engineering Conference (UPEC), 2012, pp. 1–7.

      [4] M. Mahdavian, G. Shahgholian, P. Shafaghi, and M. Azadeh, “Power System Oscillations Improvement by Using Static Var Compensator.â€

      [5] G. M. Ramdan, Y. Mulyadi, and Hasbullah, “The voltage profile improvement using static var compensator (SVC) in power system transmission,†IOP Conf. Ser. Mater. Sci. Eng., vol. 128, no. 1, 2016.

      [6] S. S. Reddy, “Determination of Optimal Location and Size of Static VAR Compensator in a Hybrid Wind and Solar Power System,†Int. J. Appl. Eng. Res., vol. 11, no. 23, pp. 11494–11500, 2016.

      [7] C. Y. Chung, K. W. Wang, and C. T. Tse, “Selection of the location and damping signal for static var compensator based on a versatile modeling,†vol. 53, pp. 7–14, 2000..

      [8] S. Dominguez-Isidro, E. Mezura-Montes, and L. G. Osorio-Hernandez, “Evolutionary programming for the length minimization of addition chains,†Eng. Appl. Artif. Intell., vol. 37, pp. 125–134, 2015.

      [9] D. B. Fogel, “Applying Fogel and Burgin’s `Competitive goal-seeking throughnevolutionary programming’ to coordination, trust, and bargaining games,†Proc. 2000 Congr. Evol. Comput. CEC00 (Cat. No.00TH8512), vol. 2, pp. 1210–1216, 2000.

      [10] I. Musirin, T. Khawa, and A. Rahman, “Evolutionary Programming Optimization Technique for Solving Reactive Power Planning in Power System 2 Evolutionary Programming Technique,†Proceeding 6th Int. Conf. Evol. Comput. Lisbon, Port., vol. 2005, pp. 239–244, 2005.

      [11] F. R. Quintela, J. M. G. Arévalo, and R. C. Redondo, “Power analysis of static VAr compensators,†Int. J. Electr. Power Energy Syst., vol. 30, no. 6–7, pp. 376–382, 2008..

      [12] N. R. H. . Abdullah, I. . Musirin, and M. M. . Othman, “Static VAR compensator for minimising transmission loss and installation cost calculation,†Aust. J. Basic Appl. Sci., vol. 4, no. 4, pp. 646–657, 2010.

      [13] R. Sirjani, A. Mohamed, and H. Shareef, “Optimal placement and sizing of Static Var Compensators in power systems using Improved Harmony Search Algorithm,†no. 7, pp. 214–218, 2011.

      [14] I. S, A. A, F, and R. T, K, A, “Static Var Compensator Planning Using Artificial Immune System For Loss Minimisation And Voltage Improvement,†pp. 41–45, 2004.

      [15] M. P. Thakre and V. S. Kale, “An adaptive approach for three zone operation of digital distance relay with Static Var Compensator using PMU,†Int. J. Electr. Power Energy Syst., vol. 77, pp. 327–336, 2016.

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  • How to Cite

    D. Shahrulhisham, H., H. Mansor, M., Musirin, I., Akoury, M., Roslan, N., & A. Syed Mustaffa, S. (2019). Application of Hybrid Optimization Technique for Static Var Compensator Installation. International Journal of Engineering & Technology, 8(1.7), 238-245. https://doi.org/10.14419/ijet.v8i1.7.25983

    Received date: 2019-01-16

    Accepted date: 2019-01-16

    Published date: 2019-01-18