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Improvisation process for banks capacitor compensation applied fuzzy logic knowledge for nodal detection on electrical network

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Języki publikacji
EN
Abstrakty
EN
The main problem of electrical distribution systems is the reactive power flow. It causes reduction of active power transmission, diminishes power losses, and augments the drop voltage. In this research we described an efficiency approach FLC-HSO to solve the optimal power flow (OPF) combinatorial problem. The proposed approach employ tow algorithms, Fuzzy logic controller (FLC) algorithm for nodal detection and harmony search optimization (HSO) algorithm for optimal seizing capacitor of OPF combinatorial problem control variables. HSO method is more proficient in improving combinatory problem. The proposed approach has been examined and tested on the standard IEEE 57-bus test system with different objectives that reflect cost function minimization, voltage profile improvement, and voltage stability enhancement. The proposed approach results have been compared to those that reported in the literature recently. The results are promising and show the effectiveness and robustness of the proposed approach.
Twórcy
autor
autor
autor
  • Bechar University, Faculty of Sciences and Technology, Department of Electrical Engineering, B.P 417 BECHAR (08000) Algeria, gasbaoui_2009@yahoo.com
Bibliografia
  • [1] Baran M.E., Wu F.F., “Optimal capacitor placement on radial distribution systems”, IEEE Trans. Power Delivery, vol. 4, , Jan. 1989, pp.725–734.
  • [2] Baran M.E., Wu F.F., “Optimal seizing of capacitors placed on radial distribution systems”, IEEE Trans. Power Delivery, vol. 4, Jan. 1989, pp.735–743.
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  • [4] Grainger J.J., Lee S.H., “Optimum size and location of shunt capacitors for reduction of losses on distribution feeders“, IEEE Trans. Power Apparatus and Systems, vol. 100, March 1981, pp. 1105–1118.
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  • [11] Alloua B., Laouifi A., Gasbaoui B., et al., “Intelligent Controller Design for DC Motor Speed Control based on Fuzzy Logic-Genetic Algorithms Optimization”, Leonardo Journal of Sciences, Issue 13, July-December 2008, pp. 90–102.
  • [12] Alloua B., Laouifi A., Gasbaoui B., et al., “The Efficiency of Particle Swarm Optimization Applied on Fuzzy Logic DC Motor Speed Control”, Serbian Journal of Electrical Engineering, vol. 5, no. 2, November 2008, pp. 247-262.
  • [13] Yen J., Langari R., Fuzzy Logic: Intelligence, Control, and Information, Prentice-Hall, New York, 1999.
  • [14] Gasbaoui B.,Alloua B., “Ant Colony Optimization Applied on Combinatorial Problem for Optimal Power Flow Solution”, Leonardo Journal of Sciences, Issue 14, January-June 2009, pp. 1–16.
  • [15] Geem Z.W., Tseng C., Park Y., “Harmony search for generalized orienteering problem: best touring in China”, Springer, Lecture Notes in Computer. Science, 2005, vol. 3412, pp. 741–50. DOI:10.1007/11539902_91
  • [16] Kim J.H., Geem Z.W., Kim E.S., “Parameter estimation of the nonlinear Muskingum model using harmony search”, Journal American Water Resources Association, vol. 37, no. 5, 2001, pp.1131–8.
  • [17] Lee K.S., Geem Z.W., “A new structural optimization method based on the harmony search algorithm”, Comput. Struct.,;82(9–102004), pp. 781–98.
  • [18] Lee K.S., Geem Z.W.,. Lee S.H, Bae K. W., “The Harmony Search Heuristic Algorithm for Discrete Structural Optimization”, Engineering Optimization, vol. 37, no. 7, 2005 , pp. 663–684.
  • [19] Geem Z.W., Tseng C.L., Williams J.C., “Harmony Search Algorithm for Water and Environmental Systems”. In: Geem Z.W.,Music-Inspired Harmony Search Algorithm, Springer, SCI191, 2009, pp. 113–127.
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  • [21] Ayvaz M.T., “Application of Harmony Search algorithm to the solution of groundwater management models”, Advances in Water Resources, vol. 32, 2009, pp. 916–924.
  • [22] Wang C.M., Huang Y.F., “Self-adaptive harmony search algorithm for optimization”, Expert Systems with Applications, vol. 37, 2010, pp. 2826–2837.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ8-0007-0002
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