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Multiple Droop-Controlled DG Sites in an Islanded AC Microgrid for Power Losses Mitigation

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PL
Lokalizacja źródeł rozproszonych z regulowanym statyzmem w izolowanej mikrosieci : minimalizująca straty mocy
Języki publikacji
EN
Abstrakty
EN
This study investigates the installation of multiple droop-controlled distributed generator (DG) sites in an Autonomous Microgrid (AMG) to mitigate power losses. The methodology employs a differential evolution algorithm integrated with a modified backward-forward sweep load flow method to optimise the DG sizing and positioning. Tested on an IEEE 33-bus AMG, the results show a significant reduction in power losses with multiple DG placements, highlighting the potential to improve microgrid performance.
PL
Przedstawiono analizę umiejscowienia generatorów rozproszonych (DG) w izolowanej mikrosieci (AMG), z regulowanym statyzmem oraz z rozwiniętą strukturą hierarchiczną w celu redukcji strat mocy. Metoda wykorzystuje algorytm ewolucji różnicowej zintegrowany z modyfikowaną metodą rozpływu mocy w celu optymalizacji rozmiaru i pozycjonowania DG. Przetestowane na 33-węzłowej mikrosieci testowej IEEE wyniki ukazują znaczącą redukcję strat mocy dzięki optymalnym lokalizacjom DG, wskazują na potencjał poprawy wydajności pracy mikrosieci.
Wydawca
Rocznik
Strony
10--24
Opis fizyczny
Bibliogr. 32 poz., tab., wykr.
Bibliografia
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  • [10] A. Maulik and D. Das, “Optimal operation of droop-controlled islanded microgrids,” IEEE Transactions on Sustainable Energy, vol. 9, no. 3, pp. 1337-1348, 2017.
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  • [13] N. B. Roy and D. Das, “Optimal allocation of active and reactive power of dispatchable distributed generators in a droop controlled islanded microgrid considering renewable generation and load demand uncertainties,” Sustainable Energy, Grids and Networks, vol. 27, p. 100482, 2021.
  • [14] M. V. Kirthiga, S. A. Daniel, and S. Gurunathan, “A methodology for transforming an existing distribution network into a sustainable autonomous micro-grid,” IEEE Transactions on Sustainable Energy, vol. 4, no. 1, pp. 31-41, 2012.
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  • [17] M. Khalid, U. Akram, and S. Shafiq, “Optimal planning of multiple distributed generating units and storage in active distribution networks, ”IEEE Access, vol. 6, pp. 55234-55244, 2018.
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  • [20] A. H. Yazdavar, M. F. Shaaban, E. F. El-Saadany, M. M. Salama, and H. H. Zeineldin, “Optimal planning of distributed generators and shunt capacitors in isolated microgrids with nonlinear loads,” IEEE Transactions on Sustainable Energy, vol. 11, no. 4, pp. 2732-2744, 2020.
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  • [22] T. X. Nguyen and R. Lis, “Optimal Size and Location of Dispatchable Distributed Generators in an autonomous Microgrid using Honey Badger algorithm, ”Archives of Electrical Engineering, 2023.
  • [23] F. Hameed, M. Al Hosani, and H. H. Zeineldin, “A modified backward/forward sweep load flow method for islanded radial microgrids, ”IEEE Transactions on Smart Grid, vol. 10, no. 1, pp. 910-918, 2017.
  • [24] J. C. Vasquez, J. M. Guerrero, M. Savaghebi, J. Eloy-Garcia, and R. Teodorescu, “Modeling, analysis, and design of stationary-reference-frame droop-controlled parallel three-phase voltage source inverters,” IEEE Transactions on industrial electronics, vol. 60, no. 4, pp. 1271-1280, 2012.
  • [25] K. V. Price, “Differential evolution: a fast and simple numerical optimizer,” in Proceedings of North American fuzzy information processing, IEEE, 1996, pp. 524-527.
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  • [29] M. E. Baran and F. F. Wu, “Network reconfiguration in distribution systems for loss reduction and load balancing,” IEEE Transactions on Power delivery, vol. 4, no. 2, pp. 1401-1407, 1989.
  • [30] R. Eberhart and J. Kennedy, “A new optimizer using particle swarm theory,” in MHS’95. Proceedings of the sixth international symposium on micro machine and human science, Ieee, 1995, pp. 39-43.
  • [31] K. Sivakumar, R. Jayashree, and K. Danasagaran, “Efficiency-driven planning for sizing of distributed generators and optimal construction of a cluster of microgrids,” Engineering Science and Technology, an International Journal, 2021.
  • [32] J.-H. Teng, “A direct approach for distribution system load flow solutions,” IEEE Transactions on power delivery, vol. 18, no. 3, pp. 882-887, 2003.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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