Dynamics-aware Continuous-time Economic Dispatch and Optimal Automatic Generation Control

Pratyush Chakraborty; Sairaj Dhople; Yu Christine Chen; Masood Parvania

doi:10.23919/ACC45564.2020.9147860

Dynamics-aware Continuous-time Economic Dispatch and Optimal Automatic Generation Control

Pratyush Chakraborty, Sairaj Dhople, Yu Christine Chen, Masood Parvania

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Scopus citations

Abstract

In this work, we aim to minimize the cost of generation in a power system while meeting demand in nearto real time. The proposed architecture is composed of two sub-problems: continuous-time economic dispatch (CTED) and optimal automatic generation control (OAGC). In its original form, the CTED problem incorporates generator aggregate-frequency dynamics, and it is infinite-dimensional. However, we present a computationally tractable function space-based solution method for the proposed problem. We also develop an optimization-based control algorithm for implementing OAGC. Theoretical considerations for decoupling the two problems are explored. We validate the economic efficiency and frequency performance of the proposed method through simulations of a representative power network.

Original language	English (US)
Title of host publication	2020 American Control Conference, ACC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1292-1298
Number of pages	7
ISBN (Electronic)	9781538682661
DOIs	https://doi.org/10.23919/ACC45564.2020.9147860
State	Published - Jul 2020
Event	2020 American Control Conference, ACC 2020 - Denver, United States Duration: Jul 1 2020 → Jul 3 2020

Publication series

Name	Proceedings of the American Control Conference
Volume	2020-July
ISSN (Print)	0743-1619

Conference

Conference	2020 American Control Conference, ACC 2020
Country/Territory	United States
City	Denver
Period	7/1/20 → 7/3/20

Bibliographical note

Funding Information:
P. Chakraborty and M. Parvania are with the Department of Electrical and Computer Engineering, The University of Utah. S. V. Dhople is with the Department of Electrical and Computer Engineering, University of Minnesota. Y. C. Chen is with the Department of Electrical and Computer Engineering, The University of British Columbia. Funding support from the National Science Foundation, through grant NSF-ECCS-1453921, Office of Naval Research, through grant N000141812395, and Natural Sciences and Engineering Research Council of Canada (NSERC), through grant RGPIN-2016-04271 is acknowledged.

Publisher Copyright:
© 2020 AACC.

Publisher link

10.23919/ACC45564.2020.9147860

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Chakraborty, P., Dhople, S., Chen, Y. C., & Parvania, M. (2020). Dynamics-aware Continuous-time Economic Dispatch and Optimal Automatic Generation Control. In 2020 American Control Conference, ACC 2020 (pp. 1292-1298). Article 9147860 (Proceedings of the American Control Conference; Vol. 2020-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC45564.2020.9147860

Dynamics-aware Continuous-time Economic Dispatch and Optimal Automatic Generation Control. / Chakraborty, Pratyush; Dhople, Sairaj; Chen, Yu Christine et al.
2020 American Control Conference, ACC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1292-1298 9147860 (Proceedings of the American Control Conference; Vol. 2020-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chakraborty, P, Dhople, S, Chen, YC & Parvania, M 2020, Dynamics-aware Continuous-time Economic Dispatch and Optimal Automatic Generation Control. in 2020 American Control Conference, ACC 2020., 9147860, Proceedings of the American Control Conference, vol. 2020-July, Institute of Electrical and Electronics Engineers Inc., pp. 1292-1298, 2020 American Control Conference, ACC 2020, Denver, United States, 7/1/20. https://doi.org/10.23919/ACC45564.2020.9147860

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Dynamics-aware Continuous-time Economic Dispatch and Optimal Automatic Generation Control

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