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Distributed intelligence for Smart Grid Control

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
PL
Inteligencja rozproszona w sterowaniu sieci inteligentnych
Języki publikacji
EN
Abstrakty
EN
This paper provides an overview of the challenges, their potential solutions and the trends in the control of electrical power distribution in presence of distributed generation. Power grids are supposed to go through a significant transformation in the close future. Distribution is supposed to be mostly affected. The tutorial reviews the current practice and outlines the possible evolutions towards a more intelligent grid able to operate more dynamically mostly under the hypothesis of a large penetration of renewable energy sources or distributed energy sources more in general. Some specific topics are then addressed with reference to recent research results such network-based control, distributed state estimation and distributed intelligence.
PL
Przypuszcza się, że systemy energetyczne będą w najbliższej przyszłości poddane zasadniczym zmianom i zmiany te będą najbardziej dotyczyły systemów rozdzielczych. Artykuł jest przeglądem wyzwań, trendów i potencjalnych rozwiązań różnych problemów sterowania w systemach energetycznych z generatorami rozproszonymi. Artykuł omawia obecne podejście i szkicuje możliwy rozwój systemów energetycznych w kierunku systemów inteligentnych o większej zmienności i wysokiej penetracji odnawialnych źródeł energii. Omawiane są także pewne szczegółowe zagadnienia badawcze, takie jak sterowanie sieciowe, estymacja stanów rozłożonych oraz inteligencja rozłożona.
Rocznik
Strony
38--47
Opis fizyczny
Bibliogr. 41 poz., rys.
Twórcy
autor
autor
autor
autor
  • Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, Aachen, Germany, amonti@eonerc.rwth-aachen.de
Bibliografia
  • [1] A. Monti, F. Ponci, “PEBB Standardization As Key Enabler for Power Control Flexibility”, invited paper at IEEE ISIE 2010.
  • [2] A. Monti, F. Ponci, “Power Grids of the Future: Why Smart Means Complex”, IEEE COMPENG 2010, Rome, Feb. 2010.
  • [3] A. Monti, F. Ponci, A. Smith, R.Liu, “A design approach for digital controllers using reconfigurable network-based measurement”. Int. Instrumentation and Measurement Technology Conf. 2009, Singapore, 5-7 May, 2009. PRZEGLĄD ELEKTROTECHNICZNY (Electrical Review), ISSN 0033-2097, R. 86 NR 6/2010 47
  • [4] Mo-Yuen Chow; Yodyium Tipsuwan “Network-based control systems: a tutorial”, 27th Annual Conference of the IEEE Industrial Electronics Society, 2001. IECON '01. 29 Nov.-2 Dec. 2001, pp. 1593 – 1602, vol.3.
  • [5] G-P. Liu, Y. Xia, D. Rees, W. Hu, “Design and Stability Criteria of Networked Predictive Control Systems With Random Network Delay in the Feedback Channel”, IEEE Trans. on Systems, Man, and Cybernetics—Part C: Applications and Reviews, vol. 37, no. 2, March 2007.
  • [6] Y. Xia, J. Chen, G-P. Liu, D. Rees, “Stability Analysis of Networked Predictive Control Systems with Random Network Delay”, Proceedings of the 2007 IEEE Int.l Conference on Networking, Sensing and Control, London, UK, April 2007.
  • [7] W.S. Hu, G-P. Liu, D. Rees, “Networked Predictive Control Over the Internet Using Round-Trip Delay Measurement” IEEE Trans. on Instrumentation and Measurement, Volume 57, Issue 10, Oct. 2008, pp. 2231 – 2241.
  • [8] Dan Huang and Sing Kiong Nguang, “State Feedback Control of Uncertain Networked Control Systems with Random Time Delays”, IEEE Trans. on Autom. Control, vol. 53, No. 3, 2008.
  • [9] C. H. Chen, T. S. Hwang, C. H. Lin, V. T. Liu, H.C. Huang, “Realization of Stabilizing Network Control Systems with Round-Trip Time Delays”, IEEE International Conference on Control and Automation, Guangzhou, CHINA - May 2007.
  • [10] Matsuo, K.; Miura, T.; Taniguchi, T.; “Open-Loop Control of a Stepping Motor through IP Network, Power Electronics and Drive Systems, 2007. PEDS '07. 7th International Conference on, 27-30 Nov. 2007 pp.:1537 – 1541.
  • [11] A. Monti, R. Liu, A. Deshmukh, F. Ponci, R. Dougal, “Towards a New Fully-Flexible Control Approach for Distributed Power Electronics Building Block Systems”, 34th Annual Conference of the IEEE Industrial Electronics Society, 2008. IECON '08. 10-13 Nov. 2008, pp. 2955-2961.
  • [12] Loden, N.B.; Hung, J.Y.;“An adaptive PID controller for network based control systems, Industrial Electronics Society, 2005. IECON 2005. 31st Annual Conf. of IEEE, 2005 pp.6.
  • [13] Y. Tipsuwan; Mo-Yuen Chow; “On the gain scheduling for networked PI controller over IP network”, Mechatronics, IEEE/ASME Transactions on Volume 9, Issue 3, Sept. 2004 pp. 491 – 498.
  • [14] Cuenca, A.; Salt, J.; Casanova, V.;” Multi-rate PID Controller for a Networked Control System”, Industrial Electronics, 2007. ISIE 2007. IEEE International Symposium on, 4-7 June 2007 pp. 2882 – 2886.
  • [15] N. Wiener, “The homogeneous chaos”, Amer J. Math, 1938, Vol. 60, pp. 897-936.
  • [16] D. Xiu, & G.E. Karniadakis, The Wiener-Askey polynomial chaos for stochastic differential equations. SIAM J. Sci. Comput., vol. 24, pp. 619-644, 2002.
  • [17] T.Lovett, A.Monti, F.Ponci: “A Polynomial Chaos Theory Approach to the Control Design of a Power Converter”, in Proc. IEEE PESC 04, 2004, pp. 4809-4813.
  • [18] Smith A, Monti A., Ponci F, “Robust Controller Using Polynomial Chaos Theory”, on Proc. of IEEE IAS, October 2006, pp :2511 – 2517.
  • [19] Barreiro, A.; “Robust design of nonlinear control systems using small gain conditions”, Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings, International Conference, 17-20 Oct. 1993 pp. 576 - 581 vol.3.
  • [20] A. Benigni, G. D’Antona, U. Ghisla, A. Monti and F. Ponci, “A Decentralized Observer for Electrical Power Systems: Implementation and Experimental Validation”, IEEE Trans. on Instrumentation and Measurement Volume 59, Issue 2, Feb. 2010, pp. 440 – 449.
  • [21] A. Benigni, J. Liu, F. Ponci, A. Monti, G. Pisano, S. Sulis, “Decoupling Power System State Estimation by Means of Stochastic Collocation”, Proc. IEEE I2MTC 2010, 4-6 May 2010, Austin, TX (USA).
  • [22] F.C. Schweppe and E.J. Handschin, “Static state estimation in electric power systems,” Proc. IEEE, vol. 62, no. 7, pp. 972–982, Jul. 1974.
  • [23] A. Monticelli, . “Electric power system state estimation,” Proc. IEEE, vol. 88, no. 2, pp. 262–282, Feb. 2000.
  • [24] D.M. Flacao, F. F. Wu, and L. Murphy, “Parallel and distributed state estimation,” IEEE Trans. Power Syst., vol. 10, no. 2, pp. 724–730, May 1995.
  • [25] J.B. Carvalho and F. M. Barbosa, “Parallel and distributed processing in state estimation of power system energy,” in Proc. 9th MELECON, vol. 2, pp. 969–973, May 18–20, 1998.
  • [26] A. Benigni, G. D’Antona, U. Ghisla, A. Monti and F. Ponci, “A Decentralized Observer for Electrical Power Systems: Implementation and Experimental Validation”, IEEE Trans. on Instr. and Meas., accepted for publication, 2009.
  • [27] J.A.Taylor, “Uncertainty Analysis of Power System using Collocation” Master of Science Dissertation, Mechanical Engineering Department, Massachusetts Institute of Technology, May 2008.
  • [28] Rubinstn, Reuven Y, “Simulation and the Monte Carlo method” New York, Wiley, 1981.
  • [29] Feil, Balazs; Kucherenko, Sergei; Shah, Nilay; “Comparison of Monte Carlo and Quasi Monte Carlo Sampling Methods in High Dimensional Model Representation”; Advances in System Simulation, 2009. SIMUL '09. First International Conference on, 20-25 Sept. 2009, pp.12 – 17.
  • [30] Aneta Karaivanova, Ivan Dimov, and Sofiya Ivanovska; “A Quasi-Monte Carlo Method for Integration with Improved Convergence” S. Margenov, J. Wasniewski, and P. Yalamov (Eds.): ICLSSC 2001, LNCS 2179, pp. 158–165, 2001. Springer-Verlag Berlin Heidelberg 2001.
  • [31] C. Muscas, F. Pilo, G. Pisano, S. Sulis: “Optimal Allocation of Multichannel Measurement Devices for Distribution State Estimation”, IEEE Trans. on Instrumentation and Meas., Vol. 58, No. 6, pp. 1929-1937, June 2009.
  • [32] Marwali, M. N., and Keyhani, A., “Control of Distributed Generation Systems - Part I Voltages and Currents Control”, IEEE Trans. on Industrial Electronics, 19(6), 1541–1550, 2004.
  • [33] Blaabjerg, F., Teodorescu, R. Liserre, M. and Timbus, A.V., “Overview of Control and Grid Synchronization for Distributed Power Generation Systems”, IEEE Trans. on Industrial Electronics, Volume 53, Issue 5, pp. 1398-1409, 2006.
  • [34] Macken, K.J.P. , Vanthournout, K., Van den Keybus, J., Deconinck, G., Belmans, R.J.M., “Distributed control of renewable generation units with integrated active filter”, IEEE Trans. on Power Electron., Vol. 19 , Issue: 5 , pp. 1353 – 1360, 2004.
  • [35] Tuladhar, A., Hua Jin, Unger, T., Mauch, K., “Control of parallel inverters in distributed AC power systems with consideration of line impedance effect”, IEEE Trans. on Industry Applications, Vol. 36 , Issue 1, pp. 131 – 138, 2000.
  • [36] Karlsson, P., Svensson, J., “DC bus voltage control for a distributed power system”, IEEE Trans. on Power Electronics, Vol. 18 , Issue 6, pp. 1405 – 1412, 2003.
  • [37] De Brabandere, K., Bolsens, B., Van den Keybus, J., Woyte, A., Driesen, J., Belmans, R., “A Voltage and Frequency Droop Control Method for Parallel Inverters”, IEEE Trans. on Power Electronics, Vol. 22 , Issue 4, pp. 1107 – 1115, 2007.
  • [38] Xie, S., Xie, L., Wang, Y. and Guo, G. , “Decentralized control of multimachine power systems with guaranteed performance”, IEE Proceedings Control Theory and Applications, Vol. 147, Issue 3, pp. 355-365, 2000.
  • [39] Venkat, A. N., Hiskens, I. A., Rawlings, J. B., and Wright, S. J., “Distributed MPC Strategies With Application to Power System Automatic Generation Control”, IEEE Transactions on Control Systems Technology, 16(6), 1192–1206, 2008.
  • [40] Negenborn, R. R. (2007). Multi-Agent Model Predictive Control with Applications to Power Networks, Doctoral Dissertation, TU Delft.
  • [41] J. Liu, A. Monti, D. Obradovic, “Decentralized LQG Control Based on Local Model with Online Set-point Adaptation for Distributed Power Generation”, accepted for IEEE ECCE 2010, September 2010, Atlanta, GA (USA).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPOK-0031-0005
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