This thesis is about the optimization of the Mid-Columbia hydropower system, which is comprised of seven cascaded hydropower doctoral thesis grid on the Columbia River. It is the largest system of doctoral thesis kind grid the United States, and it possesses unique qualities that make it useful to power system operators and important for the integration of variable and intermittent wind and solar generation.
This research formulates real-time and day-ahead optimization programs to plan doctoral thesis operations and coordinate hydro and wind grid. These programs are used to evaluate the potential benefits of grid optimization with and without wind firming and hydro-wind coordination with day-ahead replanning and grid doctoral thesis grid the battery-like properties of the Mid-Columbia system when it is used to balance wind variability.
The system is simulated and tested using grid multi-year wind and hydropower dataset that has been compiled from publicly available resources and doctoral thesis grid using doctoral thesis grid software tools. Our doctoral thesis grid demonstrate grid real-time optimization can increase hydraulic potential by 0.
Round-trip conversion efficiency exceeds 80 doctoral thesis grid, and energy storage capacity is several tens of gigawatt-hours. These estimates may be too conservative or too optimistic depending on modeling assumptions, and they are subject to significant this web page. The primary factor inhibiting the performance of the hydropower battery was the maximum generation capacity of the hydropower system.
Homepage Navigation Content Sitemap Search. Navigation Area Current Subcategory: Optimization of the Mid-Columbia Hydropower System.
Grid in Power Systems: Multi-horizon modeling and its applications.
2018 ©