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Towards optimal operation control in rural low voltage microgrids

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper raises the issue of controlling rural low voltage microgrids in an optimal manner. The impact of different criterion functions, related to the amount of energy exchanged with the distribution system operator network, the level of active power losses, the amount of energy generated by different energy sources and the value of financial performance measures regarding the microgrid operation, on the choice of operating points for devices suggested by the optimization algorithm has been analyzed. Both island and synchronous microgrid operation modes are being considered. We propose two variants of the optimization procedure: the first one is based on the particle swarm optimization algorithm and centralized control logic, and the second one takes advantage of the decentralized approach and Monte Carlo methods. A comparison of the simulation results for two sample rural microgrids, obtained for different objective functions, microgrid operation modes and optimization procedure variants, with the use of prepared algorithm implementations, has been provided. The results show that the proper choice of an objective function can have a crucial impact on the optimization algorithm’s behavior, the choice of operating points and, as a consequence, on microgrid behavior as well. The choice of the proper form of the objective function is the responsibility of the person in charge of both the microgrid itself and its operation. This paper can contribute towards making correct decisions in this area. Generally, slightly better results have been achieved for the centralized control mode of operation. Nevertheless, the results also suggest that in many cases the approach based on distributed logic can return results that are better or sufficiently close to the ones provided by the centralized and more sophisticated approach.
Rocznik
Strony
799--812
Opis fizyczny
Bibliogr. 30 poz., rys., tab.
Twórcy
autor
  • Warsaw University of Technology, Faculty of Electrical Engineering, Pl. Politechniki 1, 00-661 Warsaw, Poland
autor
  • Warsaw University of Technology, Faculty of Electrical Engineering, Pl. Politechniki 1, 00-661 Warsaw, Poland
autor
  • Warsaw University of Technology, Faculty of Electrical Engineering, Pl. Politechniki 1, 00-661 Warsaw, Poland
Bibliografia
  • [1] 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).
  • [2] W. Marańda and M. Piotrowicz, “Efficiency of maximum power point tracking in photovoltaic system under variable solar irradiance”, Bull. Pol. Ac.: Tech. 62(4), 713‒721 (2014).
  • [3] J. Kiciński, “Do we have a chance for small-scale energy generation? The examples of technologies and devices for distributed energy systems in micro & small scale in Poland”, Bull. Pol. Ac.: Tech. 61(4), 749‒756 (2013).
  • [4] I. Wasiak and Z. Hanzelka, “Integration of distributed energy sources with electrical power grid”, Bull. Pol. Ac.: Tech. 57(4), 297‒309 (2009).
  • [5] CIGRÉ Working Group C6.22 Microgrids evolution roadmap, Microgrids 1: Engineering, economics & experience, TB 635, 2015.
  • [6] Ch. Marnay, S. Chatzivasileiadis, Ch. Abbey, R. Iravani, G. Joos, P. Lombardi, P. Mancarella, and J. von Appen, “Microgrid evolution roadmap. Engineering, economics, and experience”, Paper presented at the 2015 Int. Symp. on Smart Electric Distribution Systems and Technologies (EDST15), CIGRE SC C6 Collo-quium, Vienna, Austria, 8‒11September 2015.
  • [7] https://building-microgrid.lbl.gov/. Accessed 20 Mar 2019.
  • [8] Microgrids: architectures and control, ed. N.D. Hatziargyriou, IEEE Press, Wiley, 2014.
  • [9] Low voltage microgrids. Joint publication edited by Mirosław Parol, Publishing House of the Warsaw University of Technology, Warsaw, 2013, [in Polish].
  • [10] R. Parol, M. Parol, and Ł. Rokicki, “Implementation issues concerning optimal operation control algorithms in low voltage microgrids”, in Pendrive Proc. of the 5th Int. Symp. on Electrical and Electronics Engineering, Galati, Romania, 20‒22 October 2017, 7 pp.
  • [11] M. Parol and K. Księżyk, “Optimum control in microgrids”, in Pendrive Proc. of the Second Int. Youth Conf. on Energetics, Budapest, Hungary, 4‒6 June 2009, 6 pp.
  • [12] F. Katiraei, R. Iravani, N.D. Hatziargyriou, and A.L. Dimeas, “Microgrids management. Control and operation aspects of microgrids”, IEEE Power & Energy Mag., 6(3), 54‒65 (2008).
  • [13] F. Katiraei and R. Iravani, “Power management strategies for a microgrid with multiple distributed generation units”, IEEE Trans. Power Syst., 21(4), 1821‒1831 (2006).
  • [14] A.L. Dimeas and N.D. Hatziargyriou, “Operation of a multiagent system for microgrid control”, IEEE Trans. Power Syst., 20(3), 1447‒1455 (2005).
  • [15] J.A. Pecas Lopes, C.L. Moreira, and A.G. Madureira, “Defin-ing control strategies for microgrids islanded operation”, IEEE Trans. Power Syst., 21(2), 916‒924 (2005).
  • [16] M. Parol, Ł. Rokicki, M. Połecki, R. Parol, P. Komarnicki, B. Arendarski, and M. Piotrowski, “Designing and optimal control of low voltage microgrids operation in rural areas”, in Prosument power engineering. Consolidation of social, economic and technical issues within the process of Polish electric energy market transformation, Częstochowa, Poland, 2017, [in Polish].
  • [17] M. Parol, Ł. Rokicki, and R. Parol, “Optimal operation control in low voltage microgrids in rural areas functioning on the basis of centralized control logic”, Przegląd Elektrotechniczny (Electrical Rev.), 94(3), 134‒138, doi:10.15199/48.2018.03.26 (2018).
  • [18] Y. Li and F. Nejabatkhah, “Overview of control, integration and energy management of microgrid”, J. Mod. Power Syst. Clean Energy, 2(3), 212‒222, doi:10.1007/s40565‒014‒0063‒1 (2014).
  • [19] W. Lu, Y. Zhao, W.Li, and H. Du, “Design and application of microgrid operation control system based on IEC 61850”, J. Mod. Power Syst. Clean Energy, 2(3), 256‒263, doi:10.1007/s40565‒014‒0074-y (2014).
  • [20] H. Zhao, Q. Wu, C. Wang, L. Cheng, and C.N. Rasmussen, “Fuzzy logic based coordinated control of battery energy storage system and dispatchable distributed generation for microgrid”, J. Mod. Power Syst. Clean Energy, 3(3), 422‒428, doi:10.1007/s40565‒015‒0119-x (2015).
  • [21] R. Jalizade Hamidi, H. Livani, S.H. Hesseinian, and G.B. Gharehpetian, “Distributed cooperative control system for smart microgrids”, Electr. Pow. Syst. Res., 130, 241‒250 (2016).
  • [22] S. Bahrami and F. Safe, “A financial approach to evaluate an optimized combined cooling, heat and power system”, Energy Power Eng., 5(5), 352‒362 (2013).
  • [23] M. Hadi Amini, K.G. Broojeni, T. Dragičević, A. Nejadpak, S.S. Iyengar, and F. Blaabjerg, “Application of cloud computing in power routing for clusters of microgrids using oblivious network routing algorithm”, in Proc. of the 19th European Conf. on Power Electronics and Applications, EPE’17 ECCE Europe, Warsaw, Poland, September 11‒14, 2017, 11 pp.
  • [24] D.E. Olivares, C.A. Cañizares,and M. Kazerani, “A Centralized Energy Management System for Isolated Microgrids”, IEEE Trans. Smart Grid, 5(4), 1864‒1875 (2014).
  • [25] J. Sachs and O. Sawodny, “A two-stage model predictive control strategy for economic diesel-PV-battery island microgrid operation in rural areas”, IEEE Trans. Sustainable Energy, 7(3), 903‒913 (2016).
  • [26] T. Morstyn, B. Hredzak, and V.G. Agelidis, “Control strategies for microgrids with distributed energy storage systems: an over-view”, IEEE Trans. Smart Grid, 9 (4), 3652‒3666 (2018).
  • [27] Y. Han , K. Zhang, H. Li, E.A. Alves Coelho, and J.M. Guerrero, “MAS-based distributed coordinated control and optimization in microgrid and microgrid clusters: a comprehensive overview”, IEEE Trans. Power Electron., 33(8), 6488‒6508 (2018).
  • [28] Q. Li, C. Peng, M. Chen, F. Chen, W. Kang, J.M. Guerrero, and D. Abbott, “Networked and distributed control method with optimal power dispatch for islanded microgrids”, IEEE Trans. Ind. Electron., 64(1), 493‒504 (2017).
  • [29] Y. Levron, J.M. Guerrero, and Y. Beck, “Optimal power flow in microgrids with energy storage”, IEEE Trans. Power Syst., 28(3), 3226‒3234 (2013).
  • [30] W. Shi, N. Li, Chi-Cheng Chu, and R. Gadh, “Real-time energy management in microgrids”, IEEE Trans. Smart Grid, 8(1), 228‒238 (2017).
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-0bdb5d48-5e30-4410-8ecb-6320d7237822
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