MODELING AND MODEL PREDICTIVE CONTROL OF A MICROTURBINE GENERATION SYSTEM FOR STAND-ALONE OPERATION

Among a variety of Distributed Generations (DGs), microturbine (MT) generation (MTG) systems are known as highly reliable and efficient sources. The main application of MT include peak shaving, emergency power and remote power in supplying industrial and domestic loads. The MT should support demands in any conditions, which requires its proper control. Therefore, system accuracy and flexible management is crucial issue.Today, Model Predictive Control (MPC) is one of the effective methods for controlling different types of converters. Use of MPC in MTG leads to higher adaptability, outputs precise adjustment and suitable power flow. In this paper, the MPC method is applied to control MTG's inverter irrespective of load type. Moreover, active rectifier is used for proper DC-link voltage regulation. The simulation results indicate MPC appropriate performance to control high-frequency MT in stand-alone mode for various scenarios. In other words, proposed system can operate with constant, variable, non-linear and unbalance loads and output three-phase voltages are not affected by these factors.

Keywords:

Microturbine generation system, model predictive control, stand-alone operation control of voltage amplitude and frequency, controlled rectifier,

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[1] Breeze P. Microturbines. In: Breeze P, editor. Gas-Turbine Power Generation. 4 Netherland: Elsevier Science & Technology Books, 2016. pp. 77-82.
[2] Ismail MS, Moghavvemi M, Mahlia, TMI. Current utilization of microturbines as a part of a hybrid system in distributed generation technology. Renewable and Sustainable Energy Reviews 2013; 21: 142-152.
[3] Asgharian P, Noroozian R. Microturbine Generation Power Systems. In: Gharehpetian GB, Mousavi Agah SM, editors. Distributed Generation Systems: Design, Operation and Grid Integration. Netherland: Butterworth-Heinemann, Elsevier Science & Technology Books, 2017. pp. 149-219.
[4] Saravanan, G, Gnanambal I. Design and Efficient Controller for Micro Turbine System. Circuits and Systems 2016; 7: 1224-1232.
[5] S. K. nayak and D. N. Gaonkar, “Performance Study of Distributed Generation System in Grid Connected/Isolated Modes,” Distributed Generation & Alternative Energy Journal, vol. 29, no.1, pp. 61-80, 2014.
[6] Sarajian, S., “Design and Control of Grid Interfaced Voltage Source Inverter with Output LCL Filter”, International Journal of Electronics Communications and Electrical Engineering, Vol. 4, pp. 26–40, 2014.
[7] Ranjbar, M., Mohaghegh, S., Salehifar, M., Ebrahimirad, H., Ghaleh, A., “Power Electronic Interface in a 70 kW Microturbine-Based Distributed Generation”, IEEE 2nd Power Electronics, Drive Systems and Technologies Conference, Tehran, Iran, 2011.
[8] A. Tyagi and Y. K. Chauhan, “A Prospective on Modeling and Performance Analysis of Micro-turbine Generation System,” presented at IEEE International Conference on Energy Efficient Technologies for Sustainability (ICEETS), Nagercoil, India, April 10-12, 2013.
[9] Saha AK, Chowdhury S, Chowdhury SP, Crossley PA. Modeling and Performance Analysis of a Microturbine as a Distributed Energy Resource. IEEE T ENERGY CONVER 2009; 24: 529-538.
[10] Asgharian P, Noroozian R. Modeling and simulation of microturbine generation system for simultaneous grid-connected/islanding operation. In: IEEE 24th Iranian Conference on Electrical Engineering (ICEE); 10-12 May 2016; Shiraz, Iran: IEEE. pp. 1528-1533.
[11] Shankar G, Mukherjee V. Load-following performance analysis of a microturbine for islanded and grid connected operation. INT J ELEC POWER 2014; 55: 704-713.
[12] Asgharian P, Noroozian R. Dynamic Modeling of a Microturbine Generation System for Islanding Operation based on Model Predictive Control. In: 31st international Power System Conference (PSC); 24-26 Oct. 2016; Tehran, Iran.
[13] Keshtkar, H., Solanki, J., Solanki, S. K., “Dynamic modeling, control and stability analysis of microturbine in a microgrid”, IEEE PES T&D Conference and Exposition, Chicago, USA, 2014.
[14] Mousavi GSM. An autonomous hybrid energy system of wind/tidal/microturbine/battery storage. INT J ELEC POWER 2012; 43: 1144-1154.
[15] Comodi G, Renzi M, Cioccolanti L, Caresana F, Pelagalli L. Hybrid system with micro gas turbine and PV (photovoltaic) plant: Guidelines for sizing and management strategies. ENERGY 2015; 89: 226-235.
[16] Bakalis DP, Stamatis AG. Incorporating available micro gas turbines and fuel cell: Matching considerations and performance evaluation. APPL ENERG 2013; 103: 607-617.
[17] Baudoin S, Vechiu L, Camblong H, Vinassa J, Barelli L. Sizing and control of a Solid Oxide Fuel Cell/Gas microturbine hybrid power system using a unique inverter for rural microgrid integration. APPL ENERG 2016; 176: 272-281.
[18] Kouro, S., Cortes, P., Vargas, R., “Model Predictive Control—A Simple and Powerful Method to Control Power Converters”, IEEE Trans. Ind. Electron., Vol. 56, No. 6, pp. 1826-1838, 2009.
[19] Rodriguez, J., Cortes, P., Predictive control of power converters and electrical drives, OMG Press, Wiley Publishing, 2012.
[20] Young, H. A., Perez, M. A., Rodriguez, J., “Analysis of Finite-Control-Set Model Predictive Current Control with Model Parameter Mismatch in a Three-Phase Inverter”, IEEE Trans. Ind. Electron., Vol. 63, No. 5, pp. 3100-3107, 2016.
[21] Young, H. A., Perez, M. A., Rodriguez, J., Abu-Rub, H., “Assessing Finite-Control-Set Model Predictive Control: A Comparison with a Linear Current Controller in Two-Level Voltage Source Inverters”, IEEE Ind. Electron. Magazine, Vol. 8, No. 1, pp. 44-52, 2014.
[22] Rodríguez, J., Pontt, J., Silva, C. A., Correa, P., Lezana, P., Cortes, P., Amman, U., “Predictive Current Control of a Voltage Source Inverter”, IEEE Trans. Ind. Electron., Vol. 54, No. 1, pp. 495-503, 2007.
[23] Cortés. P., Ortiz, G., Yuz, J. I., Rodríguez, J., Vazquez, S., Leopoldo, G., “Model Predictive Control of an Inverter with Output LC Filter for UPS Applications”, IEEE Trans. Ind. Electron., Vol. 56, No. 6, pp. 1875-1883, 2009.
[24] Paul Krause, Oleg Wasynczuk, Scott Sudhoff, Steven Pekarek, Analysis of electric machinery and drive systems. Wiley-IEEE Press, 2013.

Sigma Mühendislik ve Fen Bilimleri Dergisi-Cover

ISSN: 1304-7191
Yayın Aralığı: Yılda 4 Sayı
Yayıncı: Yıldız Teknik Üniversitesi

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