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Cited by 466

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Design and Stability of Load-Side Primary Frequency Control in Power Systems

Open access
Zhao, Changhong, Topcu, Ufuk, Li, Na, Low, Steven·2014·IEEE Transactions on Automatic Control

Abstract

We present a systematic method to design ubiquitous continuous fast-acting distributed load control for primary frequency regulation in power networks, by formulating an optimal load control (OLC) problem where the objective is to minimize the aggregate cost of tracking an operating point subject to power balance over the network. We prove that the swing dynamics and the branch power flows, coupled with frequency-based load control, serve as a distributed primal-dual algorithm to solve OLC. We establish the global asymptotic stability of a multimachine network under such type of load-side primary frequency control. These results imply that the local frequency deviations on each bus convey exactly the right information about the global power imbalance for the loads to make individual decisions that turn out to be globally optimal. Simulations confirm that the proposed algorithm can rebalance power and resynchronize bus frequencies after a disturbance with significantly improved transient performance.

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Crossref · 10.1109/tac.2014.2298140

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Metadata

Authors
Zhao, C., Topcu, U., Li, N., & Low, S.
Venue
IEEE Transactions on Automatic Control
Published
2014-05
Volume
59
Issue
5
Pages
1177-1189
ISSN
  • 0018-9286 (ISSN-L)
  • 1558-2523
OpenAlex
W2027270344
Cited by
466
References
1
FWCI
27.42
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Design and Stability of Load-Side Primary Frequency Control in Power Systems. https://app.cochat.ai/papers/10.1109/tac.2014.2298140
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Zhao, C., Topcu, U., Li, N., & Low, S. (2014). Design and Stability of Load-Side Primary Frequency Control in Power Systems. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2014.2298140

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.