Wind Diesel Hybrid System without Battery Energy Storage Using Imperialist Competitive Algorithm

Nowadays, the use of renewable energy sources has been increasingly great because of the cost increase and public demand for clean energy sources. One of the fastest growing sources is wind energy. In this paper, Wind Diesel Hybrid System (WDHS) comprising a Diesel Generator (DG), a Wind Turbine Generator (WTG), the Consumer Load, a Battery-based Energy Storage System (BESS), and a Dump Load (DL) is used. Voltage is controlled by Diesel Generator; the frequency is controlled by BESS and DL. The BESS elimination is an efficient way to reduce maintenance cost and increase the dynamic response. Simulation results with graphs for the frequency of Power System, active power, and the battery power are presented for load changes. The controlling parameters are optimized by using Imperialist Competitive Algorithm (ICA). The simulation results for the BESS/no BESS cases are compared. Results show that in no BESS case, the frequency control is more optimal than the BESS case by using ICA. 





References:
[1] Wind/Diesel Systems Architecture Guidebook, American Wind Energy
Association, 1991.
[2] S. Drouilhet, "High penetration AC bus wind–diesel hybrid power
systems", Village Power’ 98 Technical Workshop, Washington DC,
Octuber 1998.
[3] C. Carrillo, A. Feijóo, J. Cidrás, "Comparative study of flywheel
systems in an isolated wind plant", Renewable Energy, vol. 34, pp.890-
898, June 2008.
[4] R. Sebastián, R. Pe˜na Alzola, "Effective active power control of a high
penetration wind diesel system with a Ni–Cd battery energy storage",
Renewable Energy, vol. 35, pp. 952–965 May 2010.
[5] K.C. Divya, Jacob Østergaard, "Battery energy storage technology for
power systems– an overview”, Electric Power System Research, vol. 79,
pp. 511-520, April 2009.
[6] S.M. Muyeen, R. Takahashi, T. Murata, J. Tamura, H. Ali Mohd,
"Application of STATCOM/BESS for wind power smoothening and
hydrogen generation", Electric Power System Research, vol. 79, pp.
365-373, February 2009.
[7] R. Sebastian, R. Pena Alzola, "Simulation of an isolaed Wind Diesel
System with battery energy storage", Electric Power System Research,
vol. 81, pp. 677-686, February 2011.
[8] Syed Q. Ali, Hany M. Hasanien, "Frequency Control of Isolated
Network with Wind and Diesel Generators by Using Adaptive Artificial
Neural Network Controller", International Review of Automatic Control
(I.RE.A.CO.), vol. 5, no. 2 ISSN 1974-6059, March 2012.
[9] R. Hunter, D. Infield, S. Kessler, J. De Bonte, T. Toftevaag, B. Sherwin,
M. Lodge, G. Eliot, " Wind–Diesel Systems: A Guide to the Technology
and Its Implementations", Cambridge University Press, UK, October
2005.
[10] W. Lawrenz, CAN System Engineering: From Theory to Practical
Application, Springer London, 2013.
[11] M. Maadi, M. Maadi, “Optimization of Cluster Heads Selection by
Imperialist Competitive Algorithm in Wireless Sensor Networks“,
International Journal of Computer Applications (0975 – 8887), vol. 89,
no.19, March 2014.
[12] S. N. Shirkouhi, H. Eivazy, R. Ghodsi, K. Rezaie and E. A. Gargari,
"Solving the Integrated Product Mix-Outsourcing Problem by a Novel
Meta-Heuristic Algorithm: Imperialist Competitive Algorithm", Expert
Systems with Applications, vol. 37, pp. 7615-7626, December 2010.
[13] H.G. Beyer, T. Degner, H. Gabler, "Operational behavior of wind–diesel
systems incorporating short-term storage: an analysis via simulation
calculations", Solar Energy, vol. 54, pp. 429-439, June 1995.
[14] R. Gagnon, B. Saulnier, G. Sybille, P. Giroux, "Modelling of a Generic
High Penetration No-storage Wind–Diesel System Using Matlab/Power
System" Blockset, in: Global Windpower Conference, Paris, France,
April 2002.
[15] M. Liserre, F. Blaabjerg, A. Dell’Aquila, "Step-by-step design procedure
for a gridconnected three-phase PWM voltage source converter",
International Journal of Electrons, vol. 91, pp. 445–460, August 2004.
[16] B. Wu, Y. Lang, N. Zargari, S. Kouro, Power Conversion and Control of
Wind Energy System, Published in Canada, 2011.