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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publication2020 American Control Conference, ACC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1292-1298
Number of pages7
ISBN (Electronic)9781538682661
DOIs
StatePublished - Jul 2020
Externally publishedYes
Event2020 American Control Conference, ACC 2020 - Denver, United States
Duration: Jul 1 2020Jul 3 2020

Publication series

NameProceedings of the American Control Conference
Volume2020-July
ISSN (Print)0743-1619

Conference

Conference2020 American Control Conference, ACC 2020
CountryUnited States
CityDenver
Period7/1/207/3/20

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.

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