Dynamics-aware continuous-time economic dispatch: A solution for optimal frequency regulation

Roohallah Khatami, Masood Parvania, Yu Christine Chen, Swaroop Guggilam, Sairaj Dhople

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

7 Scopus citations

Abstract

This paper outlines a continuous-time economic dispatch (CTED) problem that intrinsically embeds dynamic constraints arising from the electromechanical behavior of synchronous generators and enables near-to-real-time optimal scheduling of generation. In its original form, the CTED problem is infinite-dimensional, however, we present a linear-programming reformulation that offers computational burden comparable to traditional economic dispatch. The resulting optimal dispatch trajectories are continuously differentiable and induce only small-signal variations in automatic generation control signals. In addition to yielding better system frequency response, this improves economic efficiency since the dispatch cost is better aligned with the actual cost of operating the system. We demonstrate the economic advantages and dynamic-performance improvements of the proposed method with time-domain simulations for a detailed differential algebraic equation model of an illustrative power network.

Original languageEnglish (US)
Title of host publicationProceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages3186-3195
Number of pages10
ISBN (Electronic)9780998133133
StatePublished - 2020
Event53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 - Maui, United States
Duration: Jan 7 2020Jan 10 2020

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2020-January
ISSN (Print)1530-1605

Conference

Conference53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
Country/TerritoryUnited States
CityMaui
Period1/7/201/10/20

Bibliographical note

Funding Information:
This work was supported in parts by the National Science Foundation through grant 1453921, the Advanced Research Projects Agency-Energy under the Network Optimized Distributed Energy Systems program, and the Office of Naval Research through grant N000141812395.

Publisher Copyright:
© 2020 IEEE Computer Society. All rights reserved.

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