Hy-DAT: A Tool to Address Hydropower Modeling Gaps Using Interdependency, Efficiency Curves, and Unit Dispatch Models
- BATTELLE (PACIFIC NW LAB)
As the power system continues to be flooded with intermittent resources, it becomes more important to accurately assess the role of hydro and its impact on the power grid. While hydropower generation has been studied for decades, dependency of power generation on water availability and constraints in hydro operation are not well represented in power system models used in the planning and operation of large-scale interconnection studies. There are still multiple modeling gaps that need to be addressed; if not, they can lead to inaccurate operation and planning reliability studies, and consequently to unintentional load shedding or even blackouts. As a result, it is very important thathydropower is represented correctly in both steady-state and dynamic power system studies. In this paper, we discuss the development and use of the Hydrological Dispatch and Analysis Tool (Hy-DAT) as an interactive graphical user interface (GUI), that uses a novel methodology to address the hydropower modeling gaps like water availability and inter-dependency using a database, and algorithms, to generate accurate representative models for power system simulation.
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 2448380
- Report Number(s):
- PNNL-SA-183732
- Country of Publication:
- United States
- Language:
- English
Hydro Turbine-Governor Model Validation in Pacific Northwest
|
journal | May 2004 |
Using energy storage systems to extend the life of hydropower plants
|
journal | May 2023 |
Gaps in Representations of Hydropower Generation in Steady-State and Dynamic Models
|
conference | February 2024 |
Machine Learning Tools Set for Natural Gas Fuel Cell System Design
|
journal | July 2021 |
Similar Records
Hydropower Modeling Gaps in Planning and Operational Studies
Hydropower Modeling Challenges