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Connecting Automatic Generation Control and Economic Dispatch From an Optimization View

Li, Na and Zhao, Changhong and Chen, Lijun (2016) Connecting Automatic Generation Control and Economic Dispatch From an Optimization View. IEEE Transactions on Control of Network Systems, 3 (3). pp. 254-264. ISSN 2325-5870. doi:10.1109/TCNS.2015.2459451.

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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.

Item Type:Article
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Zhao, Changhong0000-0003-0539-8591
Additional Information:© 2015 IEEE. Manuscript received September 28, 2014; revised March 2, 2015; accepted June 21, 2015. Date of publication July 21, 2015; date of current version September 15, 2016. Some preliminary results of this work were originally presented in Americal Control Conference 2014. The authors would like to thank Dr. S. Low of the California Institute of Technology for the helpful and constructive discussions.
Subject Keywords:Automatic generation control, distributed algorithm, economic dispatch, network optimization and control, power networks
Issue or Number:3
Record Number:CaltechAUTHORS:20160921-122049751
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Official Citation:N. Li, C. Zhao and L. Chen, "Connecting Automatic Generation Control and Economic Dispatch From an Optimization View," in IEEE Transactions on Control of Network Systems, vol. 3, no. 3, pp. 254-264, Sept. 2016. doi: 10.1109/TCNS.2015.2459451 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:70502
Deposited By: Tony Diaz
Deposited On:22 Sep 2016 19:26
Last Modified:11 Nov 2021 04:30

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