Engineering inertial and primary-frequency response for distributed energy resources

Swaroop S. Guggilam, Changhong Zhao, Emiliano Dall'Anese, Yu Christine Chen, Sairaj V. Dhople

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

6 Scopus citations

Abstract

We propose a framework to engineer synthetic-inertia and droop-control parameters for distributed energy resources (DERs) so that the system frequency in a network composed of DERs and synchronous generators conforms to prescribed transient and steady-state performance specifications. Our approach is grounded in a second-order lumped-parameter model that captures the dynamics of synchronous generators and frequency-responsive DERs endowed with inertial and droop control. A key feature of this reduced-order model is that its parameters can be related to those of the originating higherorder dynamical model. This allows one to systematically design the DER inertial and droop-control coefficients leveraging classical frequency-domain response characteristics of second-order systems. Time-domain simulations validate the accuracy of the model-reduction method and demonstrate how DER controllers can be designed to meet steady-state-regulation and transient-performance specifications.

Original languageEnglish (US)
Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5112-5118
Number of pages7
ISBN (Electronic)9781509028733
DOIs
StatePublished - Jan 18 2018
Event56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia
Duration: Dec 12 2017Dec 15 2017

Publication series

Name2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Volume2018-January

Other

Other56th IEEE Annual Conference on Decision and Control, CDC 2017
CountryAustralia
CityMelbourne
Period12/12/1712/15/17

Bibliographical note

Funding Information:
S. S. Guggilam and S. V. Dhople are with the Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA. E-mail: {guggi022, sdhople}@umn.edu. C. Zhao and E. Dall’Anese are with the National Renewable Energy Laboratory, Golden, CO, USA. E-mail: {changhong.zhao, emiliano.dallanese}@nrel.gov. Y. C. Chen is with the Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, British Columbia, Canada. E-mail: chen@ece.ubc.ca. This work was supported by the U.S. Department of Energy under Contract No. DE-AC36-08GO28308 with the National Renewable Energy Laboratory. The effort of S. Guggilam, C. Zhao, E. Dall’Anese, and S. V. Dhople was primarily supported by the Advanced Research Projects Agency-Energy (ARPA-E) under the Network Optimized Distributed Energy Systems (NODES) program.

Publisher Copyright:
© 2017 IEEE.

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