Unit Commitment in Presence of Wind Power Plants and Energy Storage

Authors

1 Electrical Engineering Department, South Tehran Branch, Islamic Azad University, Tehran, Iran

2 Electrical Engineering Department, South Tehran Branch, Islamic Azad University, Tehran, Iran.

Abstract

As renewable energy increasingly penetrates into power grid systems, new challenges arise for system operators to keep the systems reliable under uncertain circumstances, while ensuring high utilization of renewable energy. This paper presents unit commitment (UC) which takes into account the volatility of wind power generation. The UC problem is solved with the forecasted intermittent wind power generation and possible scenarios are simulated for representing the wind power volatility. The iterative process between the commitment problem and the economic dispatch(ED) problem will continue until we find the optimum mode of committing the units. Furthermore we have considered a hydro pump storage (HPS) unit to be a part of operating system in order to mitigating wind power forecasting errors and peak shaving. Numerical simulations indicate the effectiveness of the proposed UC for managing the security of power system operation by taking into account the intermittency and volatility of wind power generation

Keywords


[1]
Global Wind Energy Council. [Online]. Available:http://www.gwec.net/.
[2]
G. Sideratos and N. D. Hatziargyriou, “An Advanced Statistical Method for Wind Power Forecasting”, IEEE Trans. Power Syst., Vol.22, No.1, pp.258–265, Feb. 2007.
[3]
G. Kariniotakis, I. H.-P. Waldl, I. Marti, G. Giebel, T. S. Nielsen, J. Tambke, J. Usaola, F. Dierich, A. Bocquet, and S. Virlot, “Next Generation Forecasting Tools for the Optimal Management of Wind Generation”, in Proc. Int. Conf. Probabilistic Methods Applied to Power Systems (PMAPS 2006), Jun. 11–15, 2006.
[4]
J. Soens, “Impact of Wind Energy in a Future Power Grid”, Ph.D. dissertation, Katholieke Univ. Leuven, Leuven, Belgium, Dec. 2005.
[5]
True Wind Solutions, LLC and AWS Scientific, Inc., Overview of Wind Energy Generation Forecasting. [Online]. Available: www.uwig.org/forecst_overview_report_dec_2003.pdf.
[6]
W. El-Khattam, Y. Hegazy, and M. Salama, “Uncertain Power Flow Analysis of Electrical Distributed Generation Systems”, in Proc. IEEE Power Eng. Soc. General Meeting, pp.1141–1144, 2003.
[7]
J. Liu, M. Salama, and R. Mansour, “Identify the Impact of Distributed Resources on Congestion Management,” IEEE Trans. Power Del., Vol.20, No.3, pp.1998–2005, Jul. 2005.
[8]
N. D. Sadanandan, D. W. Hilson, “Impact Assessment of Wind Generation on the Operations of a Power System” IEEE Transactions on Power Apparatus and Systems, Vol. -PAS-102, No. 9, September 1983.
[9]
K. Aoki, T. Satoh, M. Itoh, “Unit Commitment in a Large-Scale Power System Including Fuel Constrained Thermal and Pumped-Storage Hydro”, IEEE Transactions on Power Systems, Vol. PWRS-2, No.4, November 1987.
[10]
Bart C. Ummels , Madeleine Gibescu, Engbert Pelgrum, Wil L. Kling, Arno J. Brand, “Impacts of Wind Power on Thermal Generation Unit Commitment and Dispatch”, IEEE Trans on Energy Conversion, Vol.22, No.1, March 2007
[11]
Chun-Lung Chen, “Optimal Wind–Thermal Generating Unit Commitment”, IEEE Trans on Energy Conversion, Vol.23, No.1, March 2008.
[12]
Jianhui Wang, Mohammad Shahidehpour, Zuyi Li, “Security-Constrained Unit Commitment With Volatile Wind Power Generation”, IEEE Trans on Power Systems, Vol.23, No.3, August 2008.
[13]
Venkata Swaroop Pappala, Istvan Erlich, Kurt Rohrig, Jan Dobschinski, “A Stochastic Model for the Optimal Operation of a Wind-Thermal Power System”, IEEE Trans on Power Systems, Vol.24, No.2, May 2009.
[14]
Aidan Tuohy, Peter Meibom, Eleanor Denny, Mark O’Malley “Unit Commitment for Systems With Significant Wind Penetration”, IEEE Trans on Power Systems, Vol.24, No.2, May 2009.
[15]
Emil M. Constantinescu, Victor M. Zavala, Matthew Rocklin, Sangmin Lee, and Mihai Anitescu, “A Computational Framework for Uncertainty Quantification and Stochastic Optimization in Unit Commitment With Wind Power Generation”, IEEE Trans on Power Systems, Vol.26, No.1, February 2011.
[16]
Alexander Sturt and Goran Strbac, “Efficient Stochastic Scheduling for Simulation of Wind-Integrated Power Systems”, IEEE Trans on Power Systems, Vol.27, No.1, February 2012.
[17]
Ruiwei Jiang, Jianhui Wang, Yongpei Guan, “Robust Unit Commitment With Wind Power and Pumped Storage Hydro” IEEE Trans on Power Systems, Vol.27, No.2, May 2012.
[18]
Jeremy J. Hargreaves and Benjamin F. Hobbs “Commitment and Dispatch With Uncertain Wind Generation by Dynamic Programming”, IEEE Trans on Sustainable Energy, Vol.3, No.4, October 2012.
[19]
Amir Kalantari, Jose F. Restrepo, FranciscoD. Galiana, “Security-Constrained Unit Commitment With Uncertain Wind Generation: The Loadability Set Approach”, IEEE Trans on Power Systems, Vol.28, No. 2, May 2013.
[20]
Chaoyue Zhao, Jianhui Wang, Jean-Paul Watson, Yongpei Guan, “Multi-Stage Robust Unit Commitment Considering Wind and Demand Response Uncertainties” IEEE Trans on Power Systems, Vol.28, No.3, August 2013.
[21]
J. Dupacová, N. Gröwe-Kuska, and W. Römisch, “Scenario reduction in stochastic programming: An approach using probability metrics,” Math. Program. Series A, vol. 3, pp. 493–511, 2003.
[22]
N. Gröwe-Kuska, H. Heitsch, and W. Römisch, “Scenario reduction and scenario tree construction for power management problems,” in Proc. IEEE Power Tech Conf., Bologna, Italy, Vol.3, pp.23–26, Jun. 2003