Impact of Wind Energy on Cost and Balancing Reserves
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
Impact of Wind Energy on Cost and Balancing Reserves

Authors: A. Khanal, A. Osareh, G. Lebby

Abstract:

Wind energy offers a significant advantage such as no fuel costs and no emissions from generation. However, wind energy sources are variable and non-dispatchable. The utility grid is able to accommodate the variability of wind in smaller proportion along with the daily load. However, at high penetration levels, the variability can severely impact the utility reserve requirements and the cost associated with it. In this paper the impact of wind energy is evaluated in detail in formulating the total utility cost. The objective is to minimize the overall cost of generation while ensuring the proper management of the load. Overall cost includes the curtailment cost, reserve cost and the reliability cost, as well as any other penalty imposed by the regulatory authority. Different levels of wind penetrations are explored and the cost impacts are evaluated. As the penetration level increases significantly, the reliability becomes a critical question to be answered. Here we increase the penetration from the wind yet keep the reliability factor within the acceptable limit provided by NERC. This paper uses an economic dispatch (ED) model to incorporate wind generation into the power grid. Power system costs are analyzed at various wind penetration levels using Linear Programming. The goal of this study is show how the increases in wind generation will affect power system economics.

Keywords: Balancing Reserves, Optimization, Wind Energy.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1338174

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2596

References:


[1] Yuri Makarov, Shuai Lu, Bart Mcmanus, and John Pease. The future impact of wind on BPA power system ancillary services. In Transmission and Distribution Conference and Exposition. IEEE/PES, IEEE/PES, April 2008.
[2] Wiser, Ryan, Mark Bolinger, June 2011: 2010 Wind Technologies Market Report. Department of Energy. (Available online at http://www.windpoweringamerica.gov/pdfs/2010_annual_wind_ market_ report.pdf)
[3] Das, Trishna, 2013: Performance and economic evaluation of storage technologies, PhD dissertation, Iowa State University, 237 pp. (Available online at http://lib.dr.iastate.edu/etd/13047)
[4] John Hetzer, David C. Yu, and Kalu Bhattarai. An economic dispatch model incorporating wind power. IEEE Transactions on Energy Conversion, 23(2):603–611, June 2008
[5] Sorotomme, E., Ali Al-Awami, M. El-Sharkawi, April 2010: Multi Objective Optimization for Wind Energy Integration.Available online at: http://sgpubs.ieee.org/publications/latest-ieee-xplore-publications/plugin- hybrid-electric-vehicle/961-multi-objective-optimization-for-windenergy- integration
[6] Post, Willem, November 2013: A More Realistic Cost of Wind Energy. The Energy Collective. (Available online at http://theenergycollective.com/willem-post/310631/more-realistic-costwind- energy)
[7] F. Milano. (2002) PSAT, Matlab-Based Power System Analysis Toolbox. (Online) Available at: http://thunderbox.uwaterloo.ca/~fmilano
[8] Freris, L. and D. Infield (2008). Renewable Energy in Power Systems, Wiley.
[9] Y. Makarov, B. Yang, J. G. DeSteese, S. Lu, C. H. Miller, P. Nyeng, J.Ma, D. J. Hammerstrom, and V. V. Viswanathan, "Wide-Area Energy Storage and Management System to Balance Intermittent Resources in the Bonneville Power Administration and California ISO Control Areas," Pacific Northwest National Laboratory, Richland, WA, Tech.Rep….. June 2008.
[10] Gurobi Optimization (Online). Available: http://www.gurobi.com/
[11] DOE/EPRI 2013 Electricity Storage Handbook in Collaboration with NRECA-Abbas A. Akhil, Georgianne Huff, Aileen B. Currier, Benjamin C. Kaun, Dan M. Rastler, Stella Bingqing Chen, Andrew L. Cotter, Dale T. Bradshaw, and William D. Gauntlett