A Framework to Support Generator Ramping Uncertainty Analysis and Visualization
Abstract
Power system operation requires maintaining a continuous balance between system demand and generation within certain constraints. Traditionally, the balancing processes are based on deterministic models, which do not consider possible random deviations of system generation and load from their predicted values. With the increasing penetration of the renewable generation, unexpected balancing problems can happen due to the deviations. This can result in serious risks to system reliability and efficiency. When the available balancing reserve is not enough to cover the predicted net load range with uncertainty, deficiency of balancing needs occurs. In this case, it is necessary to commit or de-commit additional conventional generators to achieve the desired confidence level for the balancing needs. The framework is built for solving this problem. The ramping tool engine is used to predict additional balancing requirements caused by the variability and uncertainty of the renewable energy, under the constraints of the generation ramping capability and interchange schedule. The web browser- based GUI is used to visualize the data in web-environment, which provides flexibility to allow user to see the ramping outputs in any platform. The GOSS structure provides strong support to allow easy communication between ramping engine, and system inputs, as well asmore »
- Developers:
-
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Release Date:
- Project Type:
- Closed Source, Site Hosted
- Software Type:
- Scientific
- Programming Languages:
- Java 8.x
- Licenses:
- Other
- Sponsoring Org.:
- USDOEPrimary Award/Contract Number:AC05-76RL01830
- Code ID:
- 76629
- Site Accession Number:
- 6091; IPID 30802-E
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Country of Origin:
- United States
Citation Formats
Chen, Yousu, Makarov, Yuri, Etingov, Pavel, Sharma, Poorva, Fitzhenry, Erin, and USDOE. A Framework to Support Generator Ramping Uncertainty Analysis and Visualization.
Computer software. USDOE. 1 Dec. 2015.
Web. doi:10.11578/dc.20220718.80.
Chen, Yousu, Makarov, Yuri, Etingov, Pavel, Sharma, Poorva, Fitzhenry, Erin, & USDOE. (2015, December 1). A Framework to Support Generator Ramping Uncertainty Analysis and Visualization [Computer software]. https://doi.org/10.11578/dc.20220718.80
Chen, Yousu, Makarov, Yuri, Etingov, Pavel, Sharma, Poorva, Fitzhenry, Erin, and USDOE. A Framework to Support Generator Ramping Uncertainty Analysis and Visualization.
Computer software. December 1, 2015. doi:https://doi.org/10.11578/dc.20220718.80.
@misc{osti_1328116,
title = {A Framework to Support Generator Ramping Uncertainty Analysis and Visualization},
author = {Chen, Yousu and Makarov, Yuri and Etingov, Pavel and Sharma, Poorva and Fitzhenry, Erin and USDOE},
abstractNote = {Power system operation requires maintaining a continuous balance between system demand and generation within certain constraints. Traditionally, the balancing processes are based on deterministic models, which do not consider possible random deviations of system generation and load from their predicted values. With the increasing penetration of the renewable generation, unexpected balancing problems can happen due to the deviations. This can result in serious risks to system reliability and efficiency. When the available balancing reserve is not enough to cover the predicted net load range with uncertainty, deficiency of balancing needs occurs. In this case, it is necessary to commit or de-commit additional conventional generators to achieve the desired confidence level for the balancing needs. The framework is built for solving this problem. The ramping tool engine is used to predict additional balancing requirements caused by the variability and uncertainty of the renewable energy, under the constraints of the generation ramping capability and interchange schedule. The web browser- based GUI is used to visualize the data in web-environment, which provides flexibility to allow user to see the ramping outputs in any platform. The GOSS structure provides strong support to allow easy communication between ramping engine, and system inputs, as well as the GUI.},
doi = {10.11578/dc.20220718.80},
url = {https://www.osti.gov/biblio/1328116},
year = {Tue Dec 01 00:00:00 EST 2015},
month = {Tue Dec 01 00:00:00 EST 2015},
note =
}