طرح کنترلی توزیع شده مبتنی بر کنترل مدل پیش‌بین جهت تأمین توان در یک ریزشبکه DC مستقل
محورهای موضوعی : مهندسی برق و کامپیوترآرش عابدی 1 , بهروز رضایی 2 , علیرضا خسروی 3 , مجید شهابی 4
1 - دانشگاه صنعتی نوشیروانی بابل
2 - دانشگاه صنعتی نوشیرانی بابل
3 - دانشگاه صنعتی نوشیرانی بابل
4 - دانشگاه صنعتی نوشیروانی بابل-دانشکده مهندسی برق و کامپیوتر
کلید واژه: ریزشبکه DCکنترل مدل پیش‌بینتحلیل پایداری لیاپانوف,
چکیده مقاله :
در این مقاله، یک طرح کنترلی جامع برای یک ریزشبکه DC مستقل، شامل توربین بادی متصل به ژنراتور سنکرون مغناطیس دایم، واحد ذخیره‌سازی انرژی الکتریکی و بارهای الکتریکی متغیر ارائه گردیده است. منابع انرژی از طریق مبدل‌های DC باک و باک- بوست به شین مشترک متصل می‌باشند. در لایه اول کنترلی کنترل‌کننده‌های توزیع‌شده محلی قرار دارند. این کنترل‌کننده‌ها به واسطه یک تحلیل پایداری لیاپانوف طراحی شده و علاوه بر تضمین پایداری، جریان و ولتاژ تزریقی به شبکه را از طریق کنترل تابع سوئیچینگ مبدل‌ها تنظیم می‌نمایند. کنترل‌کننده‌های ثانویه به صورت نامتمرکز بوده و میزان مشارکت هر واحد را در تأمین بار تعیین می‌نمایند. در این لایه کنترلی یک طرح کنترل‌کننده مدل پیش‌بین برای نیروگاه بادی پیشنهاد شده است و یک کنترل‌کننده تناسبی- انتگرالی با هدف تثبیت ولتاژ شین، مقادیر مرجع جریان را برای کنترل‌کننده محلی تعیین می‌نمایند. علاوه بر سادگی، سهولت در اجرا و سرعت عمل، استقلال کامل کنترل‌کننده‌های ثانویه و حداقل نیاز به بستر ارتباط داده در کنترل‌کننده‌های محلی و عدم نیاز به تغییر ساختار کنترلی در برنامه توسعه از ویژگی‌های مهم طرح کنترلی پیشنهادی می‌باشند. همچنین صحت عملکرد کنترل‌کننده‌ها با شبیه‌سازی در نرم‌افزار Matlab و برای موارد مطالعاتی مختلف مورد ارزیابی و تأیید قرار گرفته‌اند.
In this paper, a control scheme is presented for an isolated DC microgrid including wind turbine connected to permanent magnet synchronous generator, electrical energy storage unit, and variable electrical loads. Energy sources are connected to a common bus through DC buck and buck-boost converters. The local distributed controllers are located in the first control layer. These controllers are designed based on a Lyapunov stability analysis and thereby its stability is guaranteed. Moreover, the current and voltage, injected to the network, are adjusted by controlling the switching functions of the converters. The decentralized secondary controllers determine the contribution of the local units for supplying the local loads. In this control layer, a model predictive controller for the wind generation unit as well as a proportional-integral controller for preserving the bus voltage are proposed to determine the reference currents for the local controllers. In addition to the practical simplicity, complete isolation of the secondary controllers, minimum requirements to data transfer, and providing a control structure without any need to change in development plan are the important advantages of the proposed control scheme. The performance of the controllers is investigated and verified using the simulations in MATLAB software performed for different cases.
[1] P. A. Owusu and S. Asumadu-Sarkodie, "A review of renewable energy sources, sustainability issues and climate change mitigation," Cogent Engineering, vol. 3, no. 1, Article No.: 1167990, 14 pp., Dec. 2016.
[2] J. J. Justo, F. Mwasilu, J. Lee, and J. W. Jung, "AC-micro-grids versus DC-micro-grids with distributed energy resources: a review," Renewable and Sustainable Energy Reviews, vol. 24, pp. 387-405, Aug. 2013.
[3] C. Chakraborty, H. H. C. Iu, and D. D. C. Lu, "Power converters, control, and energy management for distributed generation," IEEE Trans. on Industrial Electronics, vol. 62, no. 7, pp. 4466-4470, May 2015.
[4] Z. Wang, B. Chen, and J. Wang, "Decentralized energy management system for networked microgrids in grid-connected and islanded modes," IEEE Trans. on Smart Grid, vol. 7, no. 2, pp. 1097-1105, Jun. 2016.
[5] M. Mehrasa, M. E. Adabi, E. Pouresmaeil, and J. Adabi, "Passivity-based control technique for integration of DG resources into the power grid," International J. of Electrical Power & Energy Systems, vol. 58, pp. 281-290, Jun. 2014.
[6] J. Rocabert, A. Luna, F. Blaabjerg, and P. Rodriguez, "Control of power converters in AC micro-grids," IEEE Trans. on Power Electronics, vol. 27, no. 11, pp. 4734-4749, May 2012.
[7] J. P. Lopes, C. L. Moreira, and A. G. Madureira, "Defining control strategies for micro-grids islanded operation," IEEE Trans. on Power Systems, vol. 21, no. 2, pp. 916-924, May 2006.
[8] F. Dastgeer and H. E. Gelani, "A comparative analysis of system efficiency for AC and DC residential power distribution paradigms," Energy and Buildings, vol. 138, pp. 648-654, Mar. 2017.
[9] S. Fallah, R. Deo, M. Shojafar, M. Conti, and S. Shamshirband, "Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions," Energies, vol. 11, no. 3, Article No.: 596, 31 pp., Mar. 2018.
[10] M. J. Ranaand and M. A. Abido, "Energy management in DC microgrid with energy storage and model predictive controlled AC-DC converter," IET Generation, Transmission & Distribution, vol. 11, no. 15, pp. 3694-3702, Apr. 2017.
[11] J. Han, S. K. Solanki, and J. Solanki, "Coordinated predictive control of a wind/battery microgrid system," IEEE J. of Emerging and Selected Topics in Power Electronics, vol. 1, no. 4, pp. 296-305, Sep. 2013.
[12] M. Rashad, M. Ashraf, A. I. Bhatti, and D. M. Minhas, "Mathematical modeling and stability analysis of DC microgrid using SM hysteresis controller," International J. of Electrical Power & Energy Systems, vol. 95, pp. 507-522, Feb. 2018.
[13] Q. Shafiee, J. M. Guerrero, and J. C. Vasquez, "Distributed secondary control for islanded microgrids-a novel approach," IEEE Trans. on Power Electronics, vol. 29, no. 2, pp. 1018-1031, Feb. 2014.
[14] S. Kotra and M. K. Mishra, "Design and stability analysis of DC microgrid with hybrid energy storage system," IEEE Trans. on Sustainable Energy, vol. 10, no. 3, pp. 1603-1612, Jan. 2019.
[15] D. I. Makrygiorgou and A. T. Alexandridis, "Stability analysis of dc distribution systems with droop-based charge sharing on energy storage devices," Energies, vol. 10, no. 4, Article No.: 433, 14 pp., Apr. 2017.
[16] Q. Fu, et al., "Microgrid generation capacity design with renewables and energy storage addressing power quality and surety," IEEE Trans. on Smart Grid, vol. 3, no. 4, pp. 2019-2027, Dec. 2012.
[17] Q. Shafiee, T. Dragicevic, J. C. Vasquez, and J. M. Guerrero, "Hierarchical control for multiple DC-microgrids clusters," IEEE Trans. on Energy Conversion, vol. 29, no. 4, pp. 922-933, Oct. 2014.
[18] J. Pahasa and I. Ngamroo, "Coordinated PHEV, PV, and ESS for microgrid frequency regulation using centralized model predictive control considering variation of PHEV number," IEEE Access, vol. 6, pp. 69151-69161, Nov. 2018.
[19] F. Guo, C. Wen, J. Mao, and Y. D. Song, "Distributed secondary voltage and frequency restoration control of droop-controlled inverter-based microgrids," IEEE Trans. on Industrial Electronics, vol. 62, no. 7, pp. 4355-4364, Jul. 2014.
[20] M. Nabatirad, B. Bahrani, and R. Razzaghi, "Decentralized secondary controller in islanded dc microgrids to enhance voltage regulation and load sharing accuracy," in Proc. of IEEE Int. Conf. on Industrial Technology, pp. 1692-1697, Melbourne, Australia, 13-15 Feb. 2019.
[21] Z. Karami, et al., "Decentralized model predictive control of DC microgrids with constant power load," IEEE J. of Emerging and Selected Topics in Power Electronics, vol. 9, no. 1, pp. 451-460, Feb. 2021.
[22] Y. K. Penya, J. C. Nieves, A. Espinoza, C. E. Borges, A. Pena, and M. Ortega, "Distributed semantic architecture for smart grids," Energies, vol. 5, no. 11, pp. 4824-4843, Nov. 2012.
[23] S. Vazquez, J. Rodriguez, M. Rivera, L. G. Franquelo, and M. Norambuena, "Model predictive control for power converters and drives: advances and trends," IEEE Trans. on Industrial Electronics, vol. 64, no. 2, pp. 935-947, Nov. 2016.
[24] J. Y. Dieulot, F. Colas, L. Chalal, and G. Dauphin-Tanguy, "Economic supervisory predictive control of a hybrid power generation plant," Electric Power Systems Research, vol. 127, pp. 221-229, Oct. 2015.
[25] A. M. Dizqah, A. Maheri, K. Busawon, and A. Kamjoo, "A multivariable optimal energy management strategy for standalone DC microgrids," IEEE Trans. on Power Systems, vol. 30, no. 5, pp. 2278-2287, Oct. 2014.
[26] A. Dehghanzadeh, G. Farahani, and M. Maboodi, "Maximum power point tracking of a photovoltaic system using modified incremental algorithm and model predictive control," J. of Control, vol. 12, no. 2, pp. 67-75, Jun. 2018.
[27] X. Zhang, B. Wang, U. Manandhar, H. B. Gooi, and G. Foo, "A model predictive current controlled bidirectional three-level DC/DC converter for hybrid energy storage system in DC microgrids," IEEE Trans. on Power Electronics, vol. 34, no. 5, pp. 4025-4030, Oct. 2018.
[28] G. Lou, W. Gu, W. Sheng, X. Song, and F. Gao, "Distributed model predictive secondary voltage control of islanded microgrids with feedback linearization," IEEE Access, vol. 6, pp. 50169-50178, Sep. 2018.
[29] P. Kou, D. Liang, and L. Gao, "Distributed coordination of multiple PMSGs in an islanded DC microgrid for load sharing," IEEE Trans. on Energy Conversion, vol. 32, no. 2, pp. 471-485, Apr. 2016.
[30] P. Stadler, A. Ashouri, and F. Marechal, "Distributed model predictive control of energy systems in microgrids," in Proc. of Annual IEEE Systems Conf., SysCon’16, 6 pp., Orlando, FL, USA, 18-21 Apr. 2016.
[31] O. Elbeji, M. B. Hamed, and L. Sbita, "PMSG wind energy conversion system: modeling and control," International J. of Modern Nonlinear Theory and Application, vol. 3, pp. 88-97, 18-21 Jan. 2014.
[32] A. Tan, M. B. Camara, and B. Dakyo, "Energy management in the decentralized generation systems based on renewable energy-ultracapacitors and battery to compensate the wind/load power fluctuations," IEEE Trans. on Industry Applications, vol. 51, no. 2, pp. 1817-1827, Sep. 2014.
[33] A. Abedi, B. Rezaie, A. Khosravi, and M. Shahabi, "DC-bus voltage control based on direct Lyapunov method for a converter-based stand-alone DC micro-grid," Electric Power Systems Research, vol. 187, Article No.: 106451, Oct. 2020.
[34] A. Abedi, B. Rezaie, A. Khosravi, and M. Shahabi, "A novel local control technique for converter-based renewable energy resources in the stand-alone DC micro-grids," J. of Renewable Energy and Environment, vol. 7, no. 2, pp. 52-63, Apr. 2020.
[35] J. J. E. Slotine and W. Li, Applied Nonlinear Control (Vol. 199, No. 1). Englewood Cliffs, NJ: Prentice hall, 1991.
[36] E. Fernandez-Camacho and C. Bordons-Alba, "Introduction to model based predictive control," in Model Predictive Control in the Process Industry, Advances in Industrial Control. Springer, London, 1995.
[37] S. Jalili, B. Rezaie, and Z. Rahmani, "A novel hybrid model predictive control design with application to a quadrotor helicopter," Optimal Control Applications and Methods, vol. 39, no. 4, pp. 1301-1322, Jan. 2018.
[38] M. Sarailoo, B. Rezaie, and Z. Rahmani, "Fuzzy predictive control of three-tank system based on a modeling framework of hybrid systems," in Proc. of the Institution of Mechanical Engineering, Part I: J. of System and Control Engineering, vol. 228, no. 6, pp. 369-384, Mar. 2014.
[39] I. Pan and S. Das, "Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO," ISA Trans., vol. 62, pp. 19-29, May 2016.
