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A New Approach Based on Genetic Algorithm for Optimal Reactive Power Flow Solution in Multi-terminal AC-DC Systems

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Warianty tytułu
PL
Optymalizacja rozpływu mocy biernej w wieloterminalowym systemie AC-DC w oparciu o algorytm genetyczny
Języki publikacji
EN
Abstrakty
EN
This paper presents a new approach based on Genetic Algorithm (GA) for the solution of Optimal Reactive Power Flow (ORPF) in multiterminal ac-dc systems. Active power loss optimization is implemented through GA considering the constraints of entire multi-terminal ac-dc system. Ac-dc power flow is solved by sequential method. So, any ac and dc power flow algorithm can be used effectively in the proposed approach. Unlike the similar studies, active powers of all converters except at least one are selected as control variables for ORPF in this study to achieve most suitable converter active powers and converter types that improve active power loss minimization.This paper presents the first study that utilizes GA for the solution of optimal reactive power flow in multi-terminal ac-dc systems in the literature. The proposed approach is tested on the modified IEEE 14-bus ac-dc test system. The obtained results by this study and another alternative study are also given. Comparative results showed that the proposed approach is more efficient and reliable in reaching to a global optimum while satisfying entire system constraints.
PL
W artykule przedstawiono propozycję metody zarządzania rozpływem mocy biernej w sieci AC-DC, opartej na algorytmie genetycznym. Optymalizacja strat mocy czynnej została dokonana przez uwzględnienie w algorytmie ograniczeń w całym systemie AC-DC. Proponowane rozwiązanie jest pierwszym tego typu podejściem do optymalizacji rozpływu mocy biernej w wieloterminalowej sieci. Testy wykonane zostały na zmodyfikowanym 14-szynowym systemie w standardzie IEEE. Analiza porównawcza z innymi rozwiązaniami wskazuje, na większą skuteczność i niezawodność przedstawionej metody.
Rocznik
Strony
231--235
Opis fizyczny
Bibliogr. 25 poz., schem., tab., wykr.
Twórcy
autor
  • Sakarya Electricity Distribution Corporation, Sakarya, Turkey
autor
  • Sakarya University, Sakarya, Turkey
Bibliografia
  • [1] Li Z., Li Y., Duan X., Multiobjective optimal reactive power flow using elitist nondominated sorting genetic algorithm, J. Electr. Eng. Technol., 5 (2010), No. 1, 70-78
  • [2] Mobarak Y. A., Modified load flow analysis for integrated ac/dc power systems, 12th Int. Middle East Power Syst. Conf. MEPCON, Aswan-Egypt (2008)
  • [3] Li C., Zhang B., Hou Y., Wu F. F., Liu Y., An improved approach for ac-dc power flow calculation with multi-infeed dc systems, IEEE Trans. Power Syst., 26 (2011), No. 2, 862-869
  • [4] De Silva J. R., Arnold C. P., A simple improvement to sequential ac/dc power flow algorithms, Int. J. Elect. Power Energy Syst., 12 (1990), No. 3, 219-221
  • [5] Smed T., Andersson G., Sheble G. B., Grigsby L. L., A new approach to ac/dc power flow, IEEE Trans. Power Syst., 6 (1991), No. 3, 1238-1244
  • [6] Arifoglu U., Load flow based on newton's method using Norton equivalent circuit for ac-dc multiterminal systems, Eur. Trans. Elect. Power, 9 (1999), No. 3, 167-174
  • [7] Thukaram D., Yesuratnam G., Optimal reactive power dispatch in a large power system with ac-dc and FACTs controllers, IET Gener. Transm. Distrib., 2 (2008), No. 1, 71-81
  • [8] Thukaram D., Yesuratnam G., Vyjayanthi C., Optimal reactive power dispatch based on voltage stability criteria in a large power system with ac/dc and FACTs devices, IEEE Int. Conf. Power Electro. Drives Energy Syst. PEDES, New Delhi-India (2006)
  • [9] Yu J., Yan W., Li W., Wen L., Quadratic models of ac-dc power flow and optimal reactive power flow with HVDC and UPFC controls, Elect. Power Syst. Res., 78 (2008), No. 3, 302-310
  • [10] Yu J., Yan W., Li W., Chung C. Y., Wong K. P., An unfixed piecewise-optimal reactive power-flow model and its algorithm for ac-dc systems, IEEE Trans. Power Syst., 23 (2008), No. 1, 170-176
  • [11] De Martinis U., Gagliardi F., Losi A., Mangoni V., Rossi F., Optimal load flow for electrical power systems with multiterminal HVDC links, IEE Proc. Gener. Transm. Distrib., 137 (1990), No. 2, 139-145
  • [12] Lu C. N., Chen S. S., Ong C. M., The incorporation of HVDC equations in optimal power flow methods using sequential quadratic programming techniques, IEEE Trans. Power Syst., 3 (1988), No. 3, 1005-1011
  • [13] Ambriz-Perez H., Acha E., Fuerte-Esquivel C. R., High voltage direct current modelling in optimal power flows, Int. J. Elect. Power Energy Syst., 30 (2008), No. 3, 157-168
  • [14] Arifoglu U., Tarkan N., New sequential ac-dc load-flow approach utilizing optimization techniques, Eur. Trans. Elect. Power, 9 (1999), No. 2, 93-100
  • [15] Ayan K., Kilic U., Artificial bee colony algorithm solution for optimal reactive power flow, Appl. Soft Comput., 12 (2012), No. 5, 1477-1482
  • [16] Mohamed A. W., Sabry H. Z., Constrained optimization based on modified differential evolution algorithm, Inf. Sci., 194 (2012), No. 1, 171-208
  • [17] Kashan M. H., Nahavandi N., Kashan A. H., DisABC: A new artificial bee colony algorithm for binary optimization, Appl. Soft Comput., 12 (2012), No. 1, 342-352
  • [18] Gomez-Gonzalez M., Lopez A., Jurado F., Optimization of distributed generation systems using a new discrete PSO and OPF, Elect. Power Syst. Res., 84 (2012), No. 1, 174-180
  • [19] Verma O. P., Kumar P., Hanmandlu M., Chhabra S., High dynamic range optimal fuzzy color image enhancement using artificial ant colony system, Appl. Soft Comput., 12 (2012), No. 1, 394-404
  • [20] Guvenc U., Altun B. E., Duman S., Optimal power flow using genetic algorithm based on similarity, Energy Educ. Sci. Technol., 29 (2012), No. 1, 1-10
  • [21] Kumari M. S., Maheswarapu S., Enhanced genetic algorithm based computation technique for multi-objective optimal power flow solution, Int. J. Elect. Power Energy Syst., 32 (2010), No. 6, 736-742
  • [22] Arifoglu U., The power flow algorithm for balanced and unbalanced bipolar multiterminal ac-dc systems, Elect. Power Syst. Res., 64 (2003), No. 3, 239-246
  • [23] Holland J. H., Adaptation in Natural and Artificial Systems (1975) University of Michigan Press, Ann Arbor, Michigan, USA
  • [24] MATLAB Optimization Toolbox 5 User’s Guide (2012) The Math Works, Inc.
  • [25] Arifoglu U., Optimal power flow using sequential power flow approach for an AC-DC power system, Ph.D. Thesis, Istanbul Technical University (1993)
Typ dokumentu
Bibliografia
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