Operational Impacts of Wind Energy Resources in the Bonneville Power Administration Control Area - Phase I Report [report]

Yuri V. Makarov, Shuai Lu
2008 unpublished
ph: (865) 576-8401 fax: (865) 576-5728 email: reports@adonis.osti.gov Available to the public from the National Technical Information Service, U.S. Department of Commerce, 5285 Port Royal Rd., Springfield, VA 22161 ph: (800) 553-6847 fax: (703) 605-6900 email: orders@ntis.fedworld.gov online ordering: http://www.ntis.gov/ordering.htm This document was printed on recycled paper. SUMMARY Wind power is growing at a very fast pace as an alternative generating resource. As the share of wind power in
more » ... the total system generation capacity increases, the impact of wind power on various aspects of power systems becomes more significant. This report presents a methodology developed to study the future impact of wind power on Bonneville Power Administration (BPA) load following and regulation requirements as well as study results obtained using this methodology in the course of collaborative work between BPA and Pacific Northwest National Laboratory (PNNL). The methodology has the following features that make it more accurate, more trustworthy, and more flexible comparing to some other existing approaches: • PNNL's methodology simulates the actual BPA balancing process by mimicking essential details of the actual scheduling and regulation processes. • The approach considers statistical interactions between the wind forecast (wind scheduling) error and the load forecast error. • The methodology used in this study provides not only capacity requirement information, it also analyzes the ramp rate requirements for system load following and regulation processes. • The inherent relationship between the required load following and regulation capacity, ramping capability, and ramp duration is fully reflected in the methodology. • The methodology simulates the load and wind forecast error based on their historically observed statistical characteristics. The truncated normal probability distribution model with autocorrelation was used to simulate these errors. • The intra-hour load following requirements caused by the differences between the block • Discuss with other industry experts to validate the methodology.
doi:10.2172/947482 fatcat:jybb35urtncr7fixi5tytsbwte