Model-Predictive Cascade Mitigation in Electric Power Systems With Storage and Renewables-Part II: Case-Study
Abstract
The novel cascade-mitigation scheme developed in Part I of this paper is implemented within a receding-horizon model predictive control (MPC) scheme with a linear controller model. This present paper illustrates the MPC strategy with a case-study that is based on the IEEE RTS-96 network, though with energy storage and renewable generation added. It is shown that the MPC strategy alleviates temperature overloads on transmission lines by rescheduling generation, energy storage, and other network elements, while taking into account ramp-rate limits and network limitations. Resilient performance is achieved despite the use of a simplified linear controller model. The MPC scheme is compared against a base-case that seeks to emulate human operator behavior.
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- OSTI Identifier:
- 1211450
- DOE Contract Number:
- DE-AR0000232
- Resource Type:
- Journal Article
- Journal Name:
- IEEE Transactions on Power Systems
- Additional Journal Information:
- Journal Volume: 30; Journal Issue: 1; Journal ID: ISSN 0885-8950
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Almassalkhi, MR, and Hiskens, IA. Model-Predictive Cascade Mitigation in Electric Power Systems With Storage and Renewables-Part II: Case-Study. United States: N. p., 2015.
Web. doi:10.1109/TPWRS.2014.2320988.
Almassalkhi, MR, & Hiskens, IA. Model-Predictive Cascade Mitigation in Electric Power Systems With Storage and Renewables-Part II: Case-Study. United States. https://doi.org/10.1109/TPWRS.2014.2320988
Almassalkhi, MR, and Hiskens, IA. 2015.
"Model-Predictive Cascade Mitigation in Electric Power Systems With Storage and Renewables-Part II: Case-Study". United States. https://doi.org/10.1109/TPWRS.2014.2320988.
@article{osti_1211450,
title = {Model-Predictive Cascade Mitigation in Electric Power Systems With Storage and Renewables-Part II: Case-Study},
author = {Almassalkhi, MR and Hiskens, IA},
abstractNote = {The novel cascade-mitigation scheme developed in Part I of this paper is implemented within a receding-horizon model predictive control (MPC) scheme with a linear controller model. This present paper illustrates the MPC strategy with a case-study that is based on the IEEE RTS-96 network, though with energy storage and renewable generation added. It is shown that the MPC strategy alleviates temperature overloads on transmission lines by rescheduling generation, energy storage, and other network elements, while taking into account ramp-rate limits and network limitations. Resilient performance is achieved despite the use of a simplified linear controller model. The MPC scheme is compared against a base-case that seeks to emulate human operator behavior.},
doi = {10.1109/TPWRS.2014.2320988},
url = {https://www.osti.gov/biblio/1211450},
journal = {IEEE Transactions on Power Systems},
issn = {0885-8950},
number = 1,
volume = 30,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2015},
month = {Thu Jan 01 00:00:00 EST 2015}
}