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Title: 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
Resource Relation:
Journal Name: IEEE Transactions on Power Systems; Journal Volume: 30; Journal Issue: 1
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. doi:10.1109/TPWRS.2014.2320988.
Almassalkhi, MR, and Hiskens, IA. Thu . "Model-Predictive Cascade Mitigation in Electric Power Systems With Storage and Renewables-Part II: Case-Study". United States. doi: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},
journal = {IEEE Transactions on Power Systems},
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}
}