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Effective approach to distributed optimal operation control in rural low voltage microgrids

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Języki publikacji
EN
Abstrakty
EN
The paper raises the issue of optimizing the control of the rural low voltage microgrids. Microgrids can operate in a synchronous mode with grids of distribution system operators and in an island mode. We can distinguish two control strategies in microgrids: one approach based on centralized control logic, which is usually used, and another on decentralized control logic. In this paper we decided to present the approach based on the distributed control, combining the efforts of the distributed cooperative control and modified Monte Carlo optimization method. Special attention has been paid to the impact of the order of processing particular devices’ groups on results of optimization calculations. Moreover, different scenarios of behavior of the microgrid control system with respect to the communication loss have been also presented. The influence of the issue of continuity of communication between particular devices’ groups on the possibility of carrying out the optimization process has been investigated. Additionally, characteristics of power loads and generation of electricity from small renewable energy appearing in rural areas have been described and the sensitivity of the optimization algorithm to the changes of demanded power values and changes of values of power generated by renewable energy sources has been studied. We analyzed different objective functions which can be can be used as an optimization goal both in synchronous and island operation modes of microgrid. We decided to intensively test our approach on a sample rural LV microgrid, which is typical in the countryside. The observed results of the tests have been presented and analyzed in detail. Generally, results achieved with the use of proposed distributed control are the same as with the use of centralized control. We think that the approach based on distributed control is promising for practical applications, because of its advantages.
Rocznik
Strony
661--678
Opis fizyczny
Bibliogr. 37 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
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. 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).
  • [2] I. Wasiak and Z. Hanzelka, “Integration of distributed energy sources with electrical power grid”, Bull. Pol. Ac.: Tech. 57(4), 297–309 (2009).
  • [3] G. Benysek, M.P. Kazmierkowski, J. Popczyk, and R. Strzelecki, “Power electronic systems as a crucial part of Smart Grid infrastructure – a survey”, Bull. Pol. Ac.: Tech. 59(4), 455–473 (2011).
  • [4] CIGRÉ Working Group C6.22 Microgrids evolution roadmap, Microgrids 1: Engineering, economics & experience, TB 635, 2015.
  • [5] 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 Colloquium, Austria, 2015.
  • [6] https://building-microgrid.lbl.gov/about-microgrids. Accessed 05 Feb 2020.
  • [7] Microgrids: architectures and control, ed. N.D. Hatziargyriou, IEEE Press, Wiley, 2014.
  • [8] Low voltage microgrids. Joint publication ed. M. Parol, Publishing House of the Warsaw University of Technology, Warsaw, 2013, [in Polish].
  • [9] 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).
  • [10] 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).
  • [11] A.L. Dimeas and N.D. Hatziargyriou, “Operation of a multiagent system for microgrid control”, IEEE Trans. Power Syst. 20(3), 1447–1455 (2005).
  • [12] 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).
  • [13] 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).
  • [14] 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).
  • [15] 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).
  • [16] T. Morstyn, B. Hredzak, and V.G. Agelidis, “Control strategies for microgrids with distributed energy storage systems: an overview”, IEEE Trans. Smart Grid 9(4), 3652–3666 (2018).
  • [17] 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).
  • [18] 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, Romania, 2017, pp. 7
  • [19] V. Kumar, N. Leonard, N.E. Leonard, and A.S. Morse, Cooperative control. Springer, Berlin/Heidelberg, 2005.
  • [20] Z. Qu, Cooperative control of dynamical systems. Springer, London U. K. 2009.
  • [21] Cooperative Control of Distributed Multi-Agent Systems. Ed. J.S. Shamma, Wiley, 2007.
  • [22] M. Wooldridge, An Introduction to Multi Agent Systems. John Wiley& Sons, 2002.
  • [23] J.P. Bigus and J. Bigus, Constructing Intelligent Agents Using Java. 2nd Edition. John Wiley & Sons, 2001.
  • [24] S. Russell and P. Norvig, Artificial Intelligence. A Modern Approach. The Intelligent Agent Book. Second Edition. Prentice Hall, 2003.
  • [25] Yinliang Xu, Wei Zhang, Wenxin Liu, Xin Wang, Frank Ferrese, Chuanzhi Zang, and Haibin Yu, “Distributed Subgradient-Based Coordination of Multiple Renewable Generators in a Microgrid”, IEEE Trans. Power Syst. 29(1), 23–33 (2014).
  • [26] Huanhai Xin, Zhihua Qu, John Seuss, and Ali Maknouninejad, “A Self-Organizing Strategy for Power Flow Control of Photovoltaic Generators in a Distribution Network”, IEEE Trans. Power Syst. 26(3), 1462–1473 (2011).
  • [27] A. Bidram, F.L. Lewis, and A. Davoudi, “Distributed control systems for small-scale power networks using multiagent cooperative control theory”, IEEE Control Systems Magazine 34, 56–77 (2014).
  • [28] A. Bidram, A. Davoudi, F.L. Lewis, and J.M. Guerrero, “Distributed cooperative secondary control of microgrids using feedback linearization”, IEEE Trans. Power Syst. 28(3), 3462–3470 (2013).
  • [29] 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).
  • [30] J.-Y. Kim, J.-H. Jeon, S.-K. Kim, C. Cho, J. Ho Park, H. Kim, and K.-Y. Nam, “Cooperative control strategy of energy storage system and microsources for stabilizing the microgrid during islanded operation”, IEEE Trans. Power Electron. 25(12), 3037–3048 (2018).
  • [31] M. Parol, L. Rokicki, and R. Parol, “Towards optimal operation control in rural low voltage microgrids”, Bull. Pol. Ac.: Tech. 67(4), 799–812 (2019).
  • [32] Statistical Yearbook of the Republic of Poland, Central Statistical Office, (2018).
  • [33] J. Godlewska, Guide for good practices energy mangement on the agricultural farm, Białystok School of Economics, (2011), [in Polish].
  • [34] A. Grzybek, M. Ćwil, Z. Ginalski, D. Raczkiewicz, and J. Starościk, Effective management electricity and heat on the farm, Foundation for the Development of Polish Agriculture, (2017), [in Polish].
  • [35] The results of monitoring electricity consumption on farms participating in the OZERISE project, https://ozerise.pl. Accessed 05 Feb 2020.
  • [36] P. Banasiak, A. Gorczyca-Goraj, and M. Przygrodzki, “Analysis of load diagrams developed for selected segments of low voltage consumers”, Energetics 70(1), 23–27 (2017), [in Polish].
  • [37] A. Curkowski, “Problems and challenges related to energy supply in commercial fruit and vegetable farms, including those using storage rooms and cold stores”, https://www.lodr-bratoszewice.pl/sites/default/files/attachment/2.problemy_i_wyzwania_zwiazane_z_zaopatrzeniem_w_energie_w_towarowych_gospodarstwach_rolnych-ac-fin.pdf. Accessed 05 Feb 2020, [in Polish].
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
Identyfikator YADDA
bwmeta1.element.baztech-64026bc4-f297-4fd2-9047-c9996f1acc99
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