Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Transforming distribution system into a sustainable isolatedmicrogrid considering contingency

Treść / Zawartość
Warianty tytułu
Języki publikacji
Currently, the distribution system has been adapted to include a variety of Distributed Energy Resources (DERs). Maximum benefits can be extracted from the distribution system with high penetration of DERs by transforming it into a sustainable, isolated microgrid. The key aspects to be addressed for this transformation are the determination of the slack bus and assurance of reliable supply to the prioritized loads even during contingency. This paper explores the possibilities of transforming the existing distribution system into a sustainable isolated net-work by determining the slack bus and the optimal locations and capacity of Distributed Generators (DGs) in the isolated network, taking into account the contingencies due to faults in the network. A combined sensitivity index is formulated to determine the most sensitive buses for DG placement. Further, the reliability based on the loss of load in the isolated system when a fault occurs is evaluated, and the modifications required in for reliability improvement are discussed. The supremacy of the transformed isolated network with distributed generators is comprehended by comparing the results from conventional IEEE 33-bus grid connected test system and modified IEEE 33-bus isolated test system having no interconnection with the main grid.
Opis fizyczny
Bibliogr. 30 poz., rys., tab.
  • Department of Electrical Engineering, College of Engineering Trivandrum, Thiruvananthapuram – 695020, Kerala, India
  • Department of Electrical Engineering, College of Engineering Trivandrum, Thiruvananthapuram – 695020, Kerala, India
  • Department of Electrical Engineering, College of Engineering Trivandrum, Thiruvananthapuram – 695020, Kerala, India
  • Department of Electrical Engineering, College of Engineering Trivandrum, Thiruvananthapuram – 695020, Kerala, India
  • [1] D.Q. Hung and N. Mithulananthan, “Multiple distributed generator placement in primary distribution networks for loss reduction,” IEEE Transactions on Industrial Electronics 60(4), 1700–1708, April 2013.
  • [2] A. Keane, L. Ochoa, C. Borges, G. Ault, A. Alarcon-Rodriguez, R. Currie, F. Pilo, C. Dent, and G. Harrison, “State-of-the-art techniques and challenges ahead for distributed generation planning and optimization,” IEEE Transactions on Power Systems28(2), 1493–1502, May 2013.
  • [3] R. Zubo, G. Mokryani, H.-S. Rajamani, J. Aghaei, T. Niknam, and P. Pillai, “Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review,” Renewable and Sustainable Energy Reviews 72, 1177‒1198, 2017.
  • [4] C. Gamarra and J. M. Guerrero, “Computational optimization techniques applied to microgrids planning: A review,” Renew-able and Sustainable Energy Reviews 48, 413‒424, 2015.
  • [5] C. Wang and M. H. Nehrir, “Analytical approaches for optimal placement of distributed generation sources in power systems,” IEEE Transactions on Power Systems 19(4), 2068–2076, Nov 2004.
  • [6] D.Q. Hung, N. Mithulananthan, and R.C. Bansal, “Analytical expressions for DG allocation in primary distribution networks,” IEEE Transactions on Energy Conversion 25(3), 814–820, Sept 2010.
  • [7] T. Gözel and M.H. Hocaoglu, “An analytical method for the sizing and siting of distributed generators in radial systems,” Electric Power Systems Research 79(6), 912‒918, 2009.
  • [8] A.C. Rueda-Medina, J.F. Franco, M.J. Rider, A. Padilha-Feltrin, and R. Romero, “A mixed-integer linear programming approach for optimal type, size and allocation of distributed generation in radial distribution systems,” Electric Power Systems Research(97), 133‒143, 2013.
  • [9] S. Kaur, G. Kumbhar, and J. Sharma, “A MINLP technique for optimal placement of multiple DG units in distribution systems,” International Journal of Electrical Power & Energy Systems 63, 609‒617, 2014.
  • [10] M. AlHajri, M. AlRashidi, and M. El-Hawary, “Improved sequential quadratic programming approach for optimal distribution generation sizing in distribution networks,” in 23rd Canadian Confer-ence on Electrical and Computer Engineering, May 2010, 1–7.
  • [11] M. Kefayat, A. L. Ara, and S. N. Niaki, “A hybrid of ant colony optimization and artificial bee colony algorithm for probabilistic optimal placement and sizing of distributed energy resources,” Energy Conversion and Management 92, 149‒161, 2015.
  • [12] M.C.V. Suresh and E.J. Belwin, “Optimal DG placement for bene-fit maximization in distribution networks by using dragonfly algorithm,” Renewables: Wind, Water, and Solar 5(1), 4, May 2018.
  • [13] N. Kanwar, N. Gupta, K.R. Niazi, and A. Swarnkar, “Optimal distributed resource planning for microgrids under uncertain envi-ronment,” IET Renewable Power Generation 12(2), 244–251, 2018.
  • [14] J. Shanmugapriyan, N. Karuppiah, S. Muthubalaji, and S. Tamilselvi, “Optimum placement of multi type dg units for loss reduction in a radial distribution system considering the distributed generation suitability index using evolutionary algorithms,” Bull. Pol. Ac.: Tech. 66(3), 345‒354, 2018.
  • [15] M.V. Kirthiga, S.A. Daniel, and S. Gurunathan, “A methodology for transforming an existing distribution network into a sustain-able autonomous micro-grid,” IEEE Transactions on Sustainable Energy 4(1), 31–41, Jan 2013.
  • [16] M.P. Anand, W. Ongsakul, J.G. Singh, and K.M. Sudhesh, “Opti-mal allocation and sizing of distributed generators in autonomous microgrids based on LSF and PSO,” in International Conference on Energy Economics and Environment (ICEEE), 2015, March 2015, 1–6.
  • [17] Z. Wang, B. Chen, J. Wang, J. Kim, and M. Begovic, “Robust optimization based optimal DG placement in microgrids,” IEEE Transactions on Smart Grid 5(5), 2173–2182, Sept 2014.
  • [18] B. Martin, E.D. Jaeger, and F. Glineur, “A robust convex optimization framework for autonomous network planning under load uncertainty,” in 2017 IEEE Manchester PowerTech, June 2017, 1–6.
  • [19] L. Che, X. Zhang, M. Shahidehpour, A. Alabdulwahab, and Y. Al-Turki, “Optimal planning of loop-based microgrid topology,” IEEE Transactions on Smart Grid 8(4), 1771–1781, July 2017.
  • [20] P. Moutis, S. Skarvelis-Kazakos, and M. Brucoli, “Decision tree aided planning and energy balancing of planned community microgrids,” Applied Energy 161, 197‒205, 2016.
  • [21] A. Khodaei, S. Bahramirad, and M. Shahidehpour, “Microgrid planning under uncertainty,” IEEE Transactions on Power Systems 30(5), 2417–2425, Sept 2015.
  • [22] A. Hussain, S.M. Arif, M. Aslam, and S.D.A. Shah, “Optimal siting and sizing of tri-generation equipment for developing an autonomous community microgrid considering uncertainties,” Sustainable Cities and Society 32, 318‒330, 2017.
  • [23] S.M. Dawoud, X. Lin, and M.I. Okba, “Optimal placement of different types of rdgs based on maximization of microgrid load-ability,” Journal of Cleaner Production 168, 63‒73, 2017.
  • [24] F. Tooryan and E.R. Collins, “Optimum size and placement of distributed generators in microgrid based on reliability concept,” in 2018 IEEE Power and Energy Conference at Illinois (PECI), Feb 2018, 1–6.
  • [25] S. Hasanvand, M. Nayeripour, E. Waffenschmidt, and H. Fal-lahzadeh-Abarghouei, “A new approach to transform an exist-ing distribution network into a set of micro-grids for enhancing reliability and sustainability,” Appl. Soft Comput. (52), 120–134, Mar. 2017.
  • [26] G.W. Chang, S.Y. Chu, and H.L. Wang, “An improved back-ward/forward sweep load flow algorithm for radial distribution systems,” IEEE Transactions on Power Systems 22(2), 882–884, May 2007.
  • [27] R.S. Rao, S.V.L. Narasimham, and M. Ramalingaraju, “Optimal capacitor placement in a radial distribution system using plant growth simulation algorithm,” International Journal of Electrical Power & Energy Systems 33(5), 1133‒1139, 2011.
  • [28] M. Chakravorty and D. Das, “Voltage stability analysis of radial distribution networks,” International Journal of Electrical Power & Energy Systems 23(2), 129‒135, 2001.
  • [29] R.H. Kumar and S. Ushakumari, “Optimal management of islanded microgrid using binary particle swarm optimization,” in Proceedings of International Conference on Advances in Green Energy (ICAGE), 2014, Dec 2014, 251–257.
  • [30] J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proceedings of IEEE International Conference on Neural Net-works 4, Nov 1995, 1942–1948.
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Identyfikator YADDA
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.