طراحی کنترل توان منبع تولید پراکنده با واسط الکترونیک قدرتی با زمان پاسخ قابل کنترل در ریزشبکه
محورهای موضوعی : مهندسی برق و کامپیوترالیاس زارع آبندانکشی 1 , مجید شهابی 2 *
1 - دانشگاه صنعتی نوشیروانی بابل
2 - دانشگاه صنعتی نوشیروانی بابل-دانشکده مهندسی برق و کامپیوتر
کلید واژه: منبع تولید پراکنده مبدل DC/AC کنترل مدل درونی زمان پاسخ,
چکیده مقاله :
بیشتر توربینهای بادی، فتوولتاییک و سلولهای سوختی نیاز به یک مبدل DC/AC به عنوان یک رابط برای اتصال به شبکه خواهند داشت. منبع توليد پراكنده با واسط الکترونیک قدرتی شامل دو بخش، يكي مدار قدرت مبدل و ديگري كنترل‌هاي مبدل مي‌باشد. در این مقاله روش جديدی برای کنترل توان اکتيو و راکتيو منبع توليد پراکنده با واسط الکترونيک قدرتی بر مبنای کنترل جريان با استفاده از روش کنترل مدل درونی ارائه شده است. اصلي‌ترين مزيت استفاده از روش كنترل مدل دروني اين است كه مسأله تنظيم يك كنترل‌كننده PI كه نيازمند تنظيم دو پارامتر مي‌باشد را به انتخاب تنها يك پارامتر كه آن پهناي باند مطلوب حلقه- بسته () مي‌باشد، كاهش میدهد. انتخاب نيز با توجه به زمان صعود پاسخ قابل محاسبه خواهد بود، لذا با انتخاب زمان صعود پاسخ مي‌توان مقادير KI و KP را تعيين كرد. در نتیجه تنها با انتخاب يك پارامتر یعنی زمان صعود پاسخ tr مي‌توان سيستم را با زمان پاسخ مورد نظر و قابل کنترل طراحی و تنظيم کرد. روش کنترلی پيشنهادی برای کنترل توان منابع توليد پراکنده مبتنی بر واسط الکترونيک قدرتی در يک ريزشبکه در دو مد عملکرد متصل به شبکه و جدا از آن قابل استفاده خواهد بود.
Most wind turbines, photovoltaic and fuel cells need a DC/AC converter as an interface for connection to the main grid. Power electronics based distributed generation resource has two parts: power circuit and control circuit of converter. In this paper, a new method which is based on current control by using internal model control method is presented, in order to control active and reactive power of power electronics interfaced distributed generation resource. The main benefit of using internal model control method is that it can reduce number of required parameters for PI controller tuning to one parameter which is desired closed-loop band width (). It should be mentioned that parameter can be computed regarding response rise time. Therefore, values of KI and KP can be determined with the selection of desired band width. So, the system can be designed just with the selection of one parameter (rise time tr). The proposed control method can be used in micro-grids containing power electronic interfaced DGs, in both modes of operation (connected to grid and islanded micro-grid).
[1] Y. Robert, H. Lasseter, and P. Piagi, Control and Design of Microgrid Components, Power Systems Engineering Research Center, PSERC Publication 06-03, Jan. 2006.
[2] J. A. P. Lopes, C. L. Moreira, and A. G. Madureira, "Defining control strategies for microgrids Islanded operation," IEEE Trans. on Power Systems, vol. 21, no. 1, pp. 916-924, May 2006.
[3] R. C. Dugan, T. F. McDermott, and G. J. Ball, "Planning for Distributed Generation," IEEE Industry Application Magazine, vol. 7, no. 2, pp. 80-88, Mar./Apr. 2001.
[4] T. Vandoorn, B. Renders, F. De Belie, B. Meersman, and L. Vandevelde, "A voltage-source inverter for microgrid applications with an inner current control loop and an outer voltage control loop," in Proc. Int. Conf. on Renewable Energies and Power Quality, ICREPQ'09, 6 pp., Valencia, Spain, 15-17 Apr. 2009.
[5] M. W. Davis, "Distributed resource electric power systems offer significant advantages over central station generation and T&D power systems, part I," in Proc. IEEE Transmiss. Distrib. Conf. Expo., vol. 1, pp. 54-61, Chicago, IL, US, 21-25 Jul. 2002.
[6] N. D. Hatziargyriou and A. P. S. Meliopoulos, "Distributed energy sources: technical challenges," in Proc. IEEE PES Winter Meeting, vol. 2, pp. 1017-1022, New York, NY, US, Jan. 2002.
[7] C. L. Smallwood, "Distributed generation in autonomous and nonautonomous microgrid," in Proc. IEEE Rural Elect. Power Conf., 6 pp., 5-7 May 2002.
[8] F. D. Li, M. Wu, Y. He, and X. Chen, "Optimal control in microgrid using multi-agent reinforcement learning," ISA Trans., vol. 51, no. 6, pp. 743-751, Nov. 2012.
[9] H. You, V. Vittal, and Z. Yang, "Self-healing in power systems: an approach using islanding and rate of frequency decline-based load shedding," IEEE Trans. on Power System, vol. 18, no. 1, pp. 174-181, Feb. 2002.
[10] R. Fulton and C. Abbey, "Planned islanding of 8.6 MVA IPP for BC hydro system reliability," in Proc. 1st Int. Conf. Integr., 9 pp., 1-3 Dec. 2004.
[11] F. Katiraei, M. R. Iravani, and P. W. Lehn, "Micro-grid autonomous operation during and subsequent to islanding process," IEEE Trans. Power Deivery, vol. 20, no. 1, pp. 248-257, Jan. 2005.
[12] F. Katiraei, M. R. Iravani, and P. W. Lehn, "Small-signal dynamic model of a microgrid including conventional and electronically interfaced distributed resources," IET Gener. Transmiss. and Distribution, vol. 1, no. 3, pp. 369-378, May 2007.
[13] H. Jiayi, J. Chuanwen, and X. Rong, "A review on distributed energy resources and microgrid," Renewable and Sustainable Energy Reviews, vol. 12, no. 9, pp. 2472-2483, Dec. 2008.
[14] IEEE Standards Coordinating Committee 21, IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems, IEEE Std. 1547, 2003.
[15] IEEE Standards Coordinating Committee 21, IEEE Application Guide for IEEE Std. 1547, IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems, IEEE Std. 1547.2, 2008.
[16] IEEE Standards Coordinating Committee 21, IEEE Guide for Monitoring, Information Exchange, and Control of Distributed Resources Interconnected with Electric Power Systems, IEEE Std. 1547.3 2007.
[17] IEEE Standards Coordinating Committee 21, IEEE Standard Conformance Test Procedures for Equipment Interconnecting Distributed Resources with Electric Power Systems, IEEE Std. 1547.1 2005.
[18] M. Morari and E. Zafiriou, Robust Process Control, Englewood Cliffs, NJ: Prentice-Hall, 1989.
[19] L. Harnefors and H. Nee, "Model-based current control of AC machines using the internal model control method," IEEE Trans. on Industry Applications, vol. 34, no. 1, pp. 133-141, Jan./Feb. 1998.
[20] Z. Ye, R. Walling, L. Garces, R. Zhou, L. Li, and T. Wang, Study and Development of Anti-Islanding Control for Grid-Connected Inverters, Report NREL/SR-560-36243, Golden, CO: National Renewable Energy Laboratory, May 2004.