Optimal Sizing, Economic Analysis and Dynamic Behaviour of an Isolated Integrated Wind Turbine, Microturbine, and Battery Storage

(*) Corresponding author

Authors' affiliations

DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)


In this paper dynamic modelling, simulation and synthetic operation of adaptive control, supervisory control and space vector control are considered in a stand-alone hybrid power generation system of wind turbine, microturbine and battery storage. Due to efficient and economical utilisation of the renewable energy resources, optimal sizing of the hybrid system is fulfilled based on economic analysis using genetic algorithms. For extraction of maximum energy from a variable speed wind turbine, a developed Lyapunov model reference adaptive feedback linearisation method accompanied by an indirect space vector control is applied. Because of more reliability, more fuel flexibility, less environmental pollution, less noise generation and less power fluctuation in comparison with a diesel generator, a hydrogen based microturbine integrated with battery storage is suggested as a backup for this system

Copyright © 2013 Praise Worthy Prize - All rights reserved.


Optimal Sizing; Wind Turbine; Microturbine; Battery Storage; Adaptive Control; Supervisory Control

Full Text:



Thomas Ackermann, Wind power in power system, John Wiley & Sons Press, 2005.

Quincy Wang, Lichen Chang, An intelligent maximum power extraction algorithm for inverter-based variable speed wind turbine system, IEEE Trans. on Power Electronics, vol. 19, No. 5, Sep. 2004.

Ahmadreza Tabesh, Reza Iravani, Small signal dynamic model and analysis of a fixed speed wind farms-a frequency response approach, IEEE Trans. on Power Delivery, vol. 21, No. 2, Apr. 2006.

Rogerio G. De Almeida, Edgardo D. Castronuovo, J. A. Lopes, Optimum generation control in wind parks when carrying out system operator request, IEEE Trans. On Power System, 2006.

A. Tapia, G. Tapia, J. X. Ostolaza, Reactive power control of wind farms for voltage control applications, Renewable Energy, 2004.

Torbojorn Thiriger, J. Linders, Control by variable rotor speed of a fixed pitch wind turbine operation in a wide speed range, IEEE Trans. on Energy Conversion, Sep. 1993, pp. 520–26.

Marcelo Godoy Simoes, Bimal K. Bose, Roland J. Spiegel, Fuzzy logic based intelligent control of a variable speed cage machine wind generation system. IEEE Trans. on Power Electronics, vol. 12, No. 1, January 1997.

Robin M. Hilloowala, Rule based fuzzy logic control for a PWM inverter in a standalone wind energy conversion scheme, IEEE Trans. on Industry Application, 1996, pp. 57–65.

Zriad B. Chedid, Sami H. Karaki, Chadi El-Chamali, Adaptive fuzzy control for wind-diesel weak power system, IEEE Trans. on Energy Conversion, vol. 15, No.1, March 2000.

T. Tanaka, T. Toumiya, Output control by hill-climbing method for a small wind power generation system, Renewable Energy, vol. 12, No. 4, 1997, pp. 389–400.

S. C. Tripathy, M. Kalantar, R. Balasubramanian, Dynamic and stability of wind and diesel turbine generators with superconducting magnetic energy storage unit on an solated power system, IEEE Trans. on Energy Conversion, Dec. 1991, pp. 579–85.

D. Das, S. K. Aditya, D. P. Kothari, Dynamic of diesel and wind turbine generators on an isolated power system, Electric Power and Energy Systems, 1999, pp. 183-9.

C. H. Cai, D. Du, Z. Y. Liu, Battery state-of-charge (SOC) estimation using adaptive neuro-fuzzy inference system (ANFIS), IEEE International Conference on Fuzzy System, USA, 2003, pp. 1068–73.

S. Pang, J. Farrell, J. Du., M. Barth, Battery state-of-charge estimation, IEEE; American Control Conference, vol. 2, 2002, pp. 1644–49.

Fei Zhang, Guangjin Liu, Lijin Fang, A battery state of charge estimation method with extended Kalman filter, IEEE/ASME international conference on advanced intelligent mechatronics, 2008, pp. 1008-1013.

Urbain M., Rael S., Desprez P., State estimation of Lithium-Ion battery through Kalman filter, IEEE conference on power electronics, PECS 2007, pp. 2804-2810.

Hongxing Yang , Wei Zhou , Lin Lu , Zhaohong Fang, Optimal sizing method for stand-alone hybrid solar–wind system with LPSP technology by using genetic algorithm, Solar Energy,2008, pp. 354–367.

D. Saheb-Koussa, M. Haddadi, M. Belhamel, Economic and technical study of a hybrid system (wind– photovoltaic– diesel) for rural electrification in Algeria, Applied Energy,2009, pp. 1024–1030.

R. Belfkira, G. Barakat, C. Nichita, Sizing Optimisation of a Stand-Alone Hybrid Power Supply Unit: Wind/ PV Syst-em with Battery Storage, International Review of Electrical Engineering (I.R.E.E.), 2008.

Yang Hongxing, Zhou Wei, Lou Chengzhi, Optimal design and techno-economic analysis of a hybrid solar–wind power generation system, Applied Energy, 2009, pp. 163–169.

S. Diaf, G. Notton, M. Belhamel, M. Haddadi, A. Louche, Design and techno-economical optimisation for hybrid PV/ wind system under various meteorological conditions, Applied Energy, 2008, pp. 968–987.

Alliant energy: CapstoneTM MicroTurbine, http:// www.alliantenergy.com.

Matthias Durr, Andrew Cruden, Sinclair Gair, J. R. McDonald, Dynamic model of a lead acid battery for use in a domestic fuel cell system, Journal of Power Sources, Feb. 2006, pp. 1400-11.

Singh SP, Self excited induction generator research-a survey, Electric Power System Research, 2004, pp. 107-114.

Yazhou Lei, Alan Mullane, Gordon Lightbody, and Robert Yacamini, Modelling of the wind turbine with a doubly fed induction generator for grid integration studies, IEEE Trans. On Energy Conversion, vol. 21, No. 1, March 2006, pp. 257-264.

S.M. Muyeen, R. Takahashi, T. Murata, J. Tamura, Miscellaneous Operations of Variable Speed Wind Turbine Driven Permanent Magnet Synchronous Generator

, International Review of Electrical Engineering (I.R.E.E.), 2008.

Chee Mun Ong, Modelling and dynamic simulation of electric machinery using Matlab/Simulink, Prentice Hall Press, 1998.

Bimal K. Bose, Modern power electronics and Ac drives, Prentice Hall Press, 2002.

Amer Al-Hinia, Ali Feliachi, Dynamic model of a microturbine used as a distributed generator, IEEE; Proceeding of The Thirty-Fourth Southeaslern Symposium on System Theory, 2002, pp. 209–213.

M. Y. Li-Sharkht, N. S. Sisworahardjo, M. Uzunoglu, O. Onar, M. S. Alam, Dynamic behaviour of PEM fuel cell and microturbine power plant, Journal of Power Sources, 2007, pp. 315–321.

Hassan Nikkhajoei, M. Reza Iravani, A matrix converter based microturbine distributed generation system, IEEE Trans. on Power Delivery, vol. 20, No. 3, July 2005.

F. Orecchini, E. Bocci, A. Di Carlo, MCFC and microturbine power plant simulation, Journal of Power Sources, 2006, pp. 835-41.

Kwangghee Nam, Aristol Arapostathis, A model reference adaptive control scheme for pure-feedback nonlinear systems, IEEE Trans. on Automatic Control, vol. 33, No. 9, Sep. 1988.

B. Boukhezzar, L. Lupu, H. Siguerdidjane, M. Hand, Multivariable control strategy for variable speed, variable pitch wind turbine, Renewable Energy, 2007, pp. 1273-1287.

E. Slotine, Wiping, Applied nonlinear control, Prentice Hall Press, 1991.

R. Sebastian, J. Quesada, Distributed control system for frequency control in an isolated wind system, Renewable Energy, 2006, pp. 285-305.

Ned Mohan, Tore M. Undeland, William P. Robbins, Power electronics: converters, applications and design, John Wiley& Sons press, 1995.


  • There are currently no refbacks.

Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2023 Praise Worthy Prize