Planning in a Cascading Hydro System with Significant Wind Penetration Federal Columbia River Hydro Over 20,000 MW Nameplate of Federal hydroelectric generation Average Annual Runoff 132 maf (million acre feet) 2 Grand Coulee 6,765 MW Nameplate Irrigates over 600,000 acres 9.3 maf storage 3 The Hydroelectric System 4 Power = f(Water) 5 Hydro System Storage 6 Modeling Runoff Long-term LOLP reliability modeling Within Year Ensemble Streamflow Prediction (ESP) 2 to 3 week energy optimization based on weather forecasted loads and streamflows Next day Heavy Load Hour (HLH) optimization 7 Northwest Wind Power Generation Around 4700 MW connected to the federal transmission system Wind output in the BPA balancing authority has exceeded hydro generation and supplied up to 87% of the BA load 8 Shepherds Flat 845 MW Nameplate 338 GE 2.5 MW Turbines 9 The Wind Fleet 10 Wind SCE and Balancing Reserves 11 Operational Challenges Balancing Reserves Fish Operations Oversupply 12 Reliability Concerns BPA Balancing Authority Area Load & Total Wind Generation Jan. 5-25, 2009 10000 9000 8000 7000 5000 4000 BPA TOTAL WIND GENERATION 3000 2000 BPA BALANCING AUTHORITY AREA LOAD 1000 Date/Time (5-min increments) 1/25/09 1/24/09 1/23/09 1/22/09 1/21/09 1/20/09 1/19/09 1/18/09 1/17/09 1/16/09 1/15/09 1/14/09 1/13/09 1/12/09 1/11/09 1/10/09 1/9/09 1/8/09 1/7/09 1/6/09 0 1/5/09 MW 6000 13 Seasonal Uncertainty 14 Ramping Capability 15 Load Coincidence 16 Planning Challenges Monthly and Annual Energy Variability Capacity Value of Wind System Flexibility 17 Lessons Learned When planning for wind • Verify if each hour has the same expectation • Verify if each season or month has the same expectation • Beware of independence • Model the underlying system flexibility needs for ramping and reserves 18 Public Data BPA Wind Fleet Forecast and Actual BPA and OSU Anemometer Data BPA Control Area Load Actual Regional Load Intertie Transmission Ratings and Usage 19 For More Information BPA wind initiatives • http://www.bpa.gov/Projects/Initiatives/Wind/Pa ges/default.aspx Northwest Power and Conservation Council Wind Integration Forum • http://www.nwcouncil.org/energy/Wind/Default. asp 20 Thank you for your attention. bkkujala@bpa.gov (prior to Feb 22nd) OR BKujala@NWCouncil.org (after Feb 22nd) http://www.linkedin.com/in/kujala 21 Appendix READING BIBLIOGRAPHY Reserves and Wind Power Sequential Monte Carlo and Historical Data • A. M. L. L. da Silva, W. S. Sales, L. A. da Fonseca Manso, and R. Billinton, “Long-Term Probabilistic Evaluation of Operating Reserve Requirements With Renewable Sources,” Power Systems, IEEE Transactions on, vol. 25, no. 1, pp. 106 –116, Feb. 2010. • Y. V. Makarov, C. Loutan, J. Ma, and P. de Mello, “Operational Impacts of Wind Generation on California Power Systems,” Power Systems, IEEE Transactions on, vol. 24, no. 2, pp. 1039 –1050, May 2009. Incorporating Reserves into Cleared Markets • M. A. Ortega-Vazquez and D. S. Kirschen, “Estimating the Spinning Reserve Requirements in Systems With Significant Wind Power Generation Penetration,” Power Systems, IEEE Transactions on, vol. 24, no. 1, pp. 114 –124, Feb. 2009. 23 Reliability and Wind Power Hydro Coordination • L. V. L. Abreu, M. E. Khodayar, M. Shahidehpour, and L. Wu, “RiskConstrained Coordination of Cascaded Hydro Units With Variable Wind Power Generation,” Sustainable Energy, IEEE Transactions on, vol. 3, no. 3, pp. 359 –368, Jul. 2012. • R. Karki, P. Hu, and R. Billinton, “Reliability Evaluation Considering Wind and Hydro Power Coordination,” Power Systems, IEEE Transactions on, vol. 25, no. 2, pp. 685–693, May 2010. Capacity Value • A. Keane, M. Milligan, C. J. Dent, B. Hasche, C. D’Annunzio, K. Dragoon, H. Holttinen, N. Samaan, L. Söder, and M. O’Malley, “Capacity Value of Wind Power,” Power Systems, IEEE Transactions on, vol. 26, no. 2, pp. 564–572, May 2011. 24 System Flexibility Metrics • E. Lannoye, D. Flynn, and M. O’Malley, “Evaluation of Power System Flexibility,” Power Systems, IEEE Transactions on, vol. 27, no. 2, pp. 922 –931, May 2012. 25