The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Connecting Automatic Generation Control and Economic Dispatch From an Optimization View
Abstract
Automatic generation control (AGC) regulates mechanical power generation in response to load changes through local measurements. Its main objective is to maintain system frequency and keep energy balanced within each control area in order to maintain the scheduled net interchanges between control areas. The scheduled interchanges as well as some other factors of AGC are determined at a slower time scale by considering a centralized economic dispatch (ED) problem among different generators. However, how to make AGC more economically efficient is less studied. In this paper, we study the connections between AGC and ED by reverse engineering AGC from an optimization view, and then we propose a distributed approach to slightly modify the conventional AGC to improve its economic efficiency by incorporating ED into the AGC automatically and dynamically.
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Cites
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Self-citationBreaking the Hierarchy: Distributed Control & Economic Optimality in Microgrids
Simpson-Porco, J. W., & Bullo, F. (2014) · Cited by 461
Breaking the Hierarchy: Distributed Control and Economic Optimality in Microgrids
Dorfler, F., Simpson-Porco, J. W., & Bullo, F. (2016) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2015.2459391 · Cited by 440
Subgradient Methods for Saddle-Point Problems
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Cited by
Cherukuri, A., & Cortés, J. (2016) · Automatica · doi:10.1016/j.automatica.2016.07.003 · Cited by 256
Wang, X., & Chen, X. (2026) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2026.3684791
Metadata
- Authors
- Li, N., Zhao, C., & Chen, L.
- Venue
- IEEE Transactions on Control of Network Systems
- Published
- 2016-09
- Volume
- 3
- Issue
- 3
- Pages
- 254-264
- ISSN
- 2325-5870 (ISSN-L)
- OpenAlex
- W2520314131
- Cited by
- 284
- References
- 21
- FWCI
- 13.63
- Type
- journal article
- Language
- en
- Open access
- closed
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