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Warianty tytułu
Placement of capacitor banks in a power network – utilization of ant colony algorithm
Języki publikacji
Abstrakty
W pracy przedstawiana jest metoda znajdowania optymalnych lokalizacji i parametrów baterii kondensatorów w systemie elektroenergetycznym z wykorzystaniem algorytmu mrówkowego. Cechą charakterystyczną metody jest wykorzystanie w procesie znajdowania rekomendowanych do zainstalowania baterii kondensatorów oszacowań udziałów tych baterii w redukcji systemowych strat energii czynnej.
In the paper, the method of searching optimal localizations and parameters of capacitor banks in a power system with the use of ant colony algorithm is presented. The characteristic feature of the method is that in the process of searching capacitor banks, which will be recommended for installation, assessments of contribution of particular capacitor banks to reduction of system active energy losses are utilized.
Wydawca
Czasopismo
Rocznik
Tom
Strony
22--25
Opis fizyczny
Bibliogr. 14 poz., tab.
Twórcy
autor
- Politechnika Wrocławska, Instytut Energoelektryki
autor
- Politechnika Wrocławska, Instytut Energoelektryki
Bibliografia
- [1] Wilkosz K., Metoda wykrywania charakterystycznych obszarów w sieci elektroenergetycznej. Przegląd Elektrotechniczny. 88(2012), nr.9a, 97-102.
- [2] Ng H.N., Salama M.M.A., Chikhani A.Y., Classification of capacitor allocation techniques. IEEE Trans. on PD, 15(2000), n.1, 387-392.
- [3] Song Y-H., Irving M.R., Optimization techniques for electrical power systems. Part 2 Heuristic optimization methods. Power Engineering Journal, 15(2001), n.3, 151-160.
- [4] Lee K. Y., Vlachogiannis J. G., Optimization of Power Systems based on Ant Colony Algorithm: An Overview. IEEE Conf. on Intelligent Systems Appl. to Power Systems, (2005), 22-35.
- [5] Khodr H.M., Vale Z., Ramos C., Faria P., Optimization techniques for power distribution planning with uncertainties: A comparative study. PES General Meeting, Calgary, (2009), 1-8.
- [6] Annaluru R., Das S., Pahwa A., Multi-Level Ant Colony Algorithm for Optimal Placement of Capacitors in Distribution Systems. Congress on Evol. Comp., 2(2004), 1932 – 1937.
- [7] Chiou J.P., Chang C.H., Su C.T., Ant direction hybrid differential evolution for solving large capacitor placement problems. IEEE Trans. on PS, 19(2004), n.4, 1794 – 1800.
- [8] Su C-T., Chang C-F., Chiou J-P., Optimal Capacitor Placement in Distribution Systems Employing Ant Colony Search Algorithm. Electric Power Components and Systems, 33(2005), n.8, 931-946.
- [9] Bouri S., Zeblah A., Ghoraf A., Hadjeri S., Hamdaoui H., Ant colony optimization to shunt capacitor allocation in radial distribution systems. Acta Electrotechnica et Informatica, 5(2005), n.4, 1-10.
- [10] Chan C-F., Reconfiguration and Capacitor Placement for Loss Reduction of Distribution Systems by Ant Colony Search Algorithm. IEEE Trans. on PS, 23(2008), n.4, 1747 – 1755.
- [11] Pimentel Filho M. C., de Lacerda E. G. M., Medeiros Junior M. F., Capacitor Placement Using Ant Colony Optimization and Gradient. 15th Int. Conf. on Intelligent System Applications to Power System, (2009), 1-4.
- [12] Gasbaoui B., Chaker A., Laoufi A., Abderrahmani A., Allaoua B., Optimal Placement and Sizing of Capacitor Banks Using Fuzzy-Ant Approach in Electrical Distribution Systems. Leonardo Electronic Journal of Practices and Technologies, (2010), n.16, pp. 75-88.
- [13] Sirjani R., Hassanpour B., A New Ant Colony-Based Method for Optimal Capacitor Placement and Sizing in Distribution Systems. Research Journal of Applied Sciences, Engineering and Technology, 4(2012), n.8, 888-891.
- [14] http://www.ee.washington.edu/research/pstca/
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8413c8a7-39c8-4d71-888a-83fc05332e4e