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

Makarov, Yuri V. ; Lu, Shuai

Pacific Northwest National Laboratory (U.S.)

关键词: Bonneville Power Administration;    Capacity;    Stochastic Processes;    24 Power Transmission And Distribution;    Simulation;   

DOI  :  10.2172/947482
RP-ID  :  PNNL-17558
RP-ID  :  AC05-76RL01830
RP-ID  :  947482

美国|英语

来源: UNT Digital Library

【 摘 要 】

This report presents a methodology developed to study the future impact of wind on BPA power system load following and regulation requirements. The methodology uses historical data and stochastic processes to simulate the load balancing processes in the BPA power system, by mimicking the actual power system operations. Therefore, the results are close to reality, yet the study based on this methodology is convenient to conduct. Compared with the proposed methodology, existing methodologies for doing similar analysis include dispatch model simulation and standard deviation evaluation on load and wind data. Dispatch model simulation is constrained by the design of the dispatch program, and standard deviation evaluation is artificial in separating the load following and regulation requirements, both of which usually do not reflect actual operational practice. 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 ramp rate data can be used to evaluate generator response/maneuverability requirements, which is another necessary capability of the generation fleet for the smooth integration of wind energy. The study results are presented in an innovative way such that the increased generation capacity or ramp requirements are compared for two different years, across 24 hours a day. Therefore, the impact of different levels of wind energy on generation requirements at different times can be easily visualized.