Effect of Wind Generation System Rating on Transient Dynamic Performance of the Micro-Grid during Islanding Mode
Rashad M. Kamel, Aymen Chaouachi, Ken Nagasaka
DOI: 10.4236/lce.2010.11005   PDF    HTML     5,226 Downloads   10,778 Views   Citations


Recently, several types of distributed generations (DGs) are connected together and form a small power system called Micro Grid (MG). This paper developed a complete model which can simulate in details the transient dynamic perfor-mance of the MG during and subsequent to islanding process. All MG’s components are modeled in detail. The devel-oped model is used to investigate how the transient dynamic performance of the MG will affected by increasing the rating of wind generation system installed in the MG. Two cases are studied; the first case investigates the dynamic performance of the MG equipped with 10 kW fixed speed wind generation system. The second studied case indicates how the dynamic performance of the MG will be affected if the wind generation system rating increases to 30 kW. The results showed that increasing of wind generation rating on the MG causes more voltage drops and more frequency fluctuations due to the fluctuation of wind speed. Increasing voltage drops because wind turbine generator is a squirrel cage induction generator and absorbs more reactive power when the generated active power increases. The frequency fluctuations due to power fluctuations of wind turbine as results of wind speed variations. The results proved that when the MG equipped with large wind generation system, high amount of reactive power must be injected in the system to keep its stability. The developed model was built in Matlab® Simulink® environment.

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R. Kamel, A. Chaouachi and K. Nagasaka, "Effect of Wind Generation System Rating on Transient Dynamic Performance of the Micro-Grid during Islanding Mode," Low Carbon Economy, Vol. 1 No. 1, 2010, pp. 29-38. doi: 10.4236/lce.2010.11005.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] R. Lasseter, et al., “White Paper on Integration of Distri- buted Energy Resources: The CERTS Micro Grid Concept,” 2002. http://certs.lbl.gov/pdf/LBNL-50829.pdf
[2] European Re-search Project MicroGrid. http://microgrids. pow-er.ece.ntua.gr/
[3] J. A. P. Lopes, C. L. Moreira and A. G. Madureira, “Defining Control Strategies for Micro Grids Is-landed Operation,” IEEE Transactions on Power System, Vol. 21, No. 2, 2006, pp. 916-924.
[4] F. D. Kanellos, A. I. Tsou-chinkas and N. D. Hatziargyriouo, “Micro-Grid Simulation during Grid-Connected and Islanded Modes of Operation,” International Conference on Power Systems Transients, Mon-treal, 2005, Paper. IPST05-113.
[5] S. Barsali, et al., “Control Techniques of Dispersed Gene- rators to Improve the Continuity of Electricity Supply,” IEEE Power Engineering Society Winter Meeting, New York, Vol. 2, 2002, pp. 789-794.
[6] F. katiraei, M. R. Irvani and P. W. Lehn, “Micro-Grid Autonomous Operation during and Subsequent to Islanding Process,” IEEE Transactions on Power Delivery, Vol. 20, No. 1, 2005, pp. 248-257.
[7] R. Lasseter and P. Piagi, “Providing Premium Power through Distributed resources,” Proceeding of 33rd Annual Hawaii International Conference on System Sciences, Hawaii, Vol. 4, 2000, p. 9.
[8] M. C. Chandorker, D. M. divan and R. Adapa, “Control of Parallel Connected Inverters in Standalone AC Supply System,” IEEE Transactions on Industry Applications, Vol. 29, No. 1, 1993, pp. 136-143.
[9] T. Tran-Quoc, et al., “Dynamics Analysis of an Insulated Distribution Network,” Proceeding of IEEE Power System Conference and Exposition, New York, Vol. 2, 2004, pp. 815- 821.
[10] R. Caldon, F. Rossetto and R. Turri, “Analysis of Dynamic Performance of Dispersed Generation Connected through Inverters to Distribution Networks,” Proceeding of 17th International Conference on Electricity Distribution, Barcelona, 2003, Paper 87, pp. 1-5.
[11] S. Papathanassiou, N. Hatziargyriou and K. Strunz, “A Benchmark Low Voltage Mi-crogrid Network,” Proceeding of CIGRE Symposium: Power Systems with Dispersed Generation, Athens, 2005, pp. 1-8.
[12] A. Hajimiragha, “Generation Control in Small Isolated Power Systems,” Master’s Thesis, Royal Institute of Tech- nology, Department of Electrical Engineering, Stockholm, 2005.
[13] Y. Zhu and K. Tomsovic, “Development of Models for Analyzing the Load-Following Performance of Microturbine and Fuel Cells,” Electric Power System Research, Vol. 62, No. 1, 2002, pp. 1-11.
[14] G. Kariniotakis, et al., “DA1-Digital Models for Microsources,” Microgrids Project Deliverable of Task DA1, 2003.
[15] L. N. Hannett, G. Jee and B. Fardanesh, “A Governor/ Turbine Model for a Twin-Shaft Combustion Turbine,” IEEE Transactions on Power System, Vol. 10, No. 1, 1995, pp. 133-140.
[16] M. Nagpal, A. Moshref, G. K. morison, et al., “Experience with Testing and Modeling of Gas Turbines,” Proceedings of the IEEE/PES 2001 Winter Meeting, Columbus, 2001, pp. 652-656.
[17] J. Padulles, G. W. Ault and J. R. McDonald, “An Integrated SOFC Plant Dynamic Model for Power Systems Simulation,” Journal of Power Sources, Vol. 86, No. 1-2, 2000, pp. 495-500.
[18] S. Heir, “Grid Integration of Wind Energy Conversion Systems,” John Willy & Sons Ltd, Kassel, 1998.
[19] C.-M. Ong, “Dynamic Simulation of Electric Machinery Using Matlab?/Simulink,” Prentice Hall PTR, New Jersey, 1997.

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