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Distributed plug-and-play optimal generator and load control for power system frequency regulation

Zhao, Changhong and Mallada, Enrique and Low, Steven H. and Bialek, Janusz (2018) Distributed plug-and-play optimal generator and load control for power system frequency regulation. International Journal of Electrical Power and Energy Systems, 101 . pp. 1-12. ISSN 0142-0615. http://resolver.caltech.edu/CaltechAUTHORS:20180327-084750901

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Abstract

A distributed control scheme, which can be implemented on generators and controllable loads in a plug-and-play manner, is proposed for power system frequency regulation. The proposed scheme is based on local measurements, local computation, and neighborhood information exchanges over a communication network with an arbitrary (but connected) topology. In the event of a sudden change in generation or load, the proposed scheme can restore the nominal frequency and the reference inter-area power flows, while minimizing the total cost of control for participating generators and loads. Power network stability under the proposed control is proved with a relatively realistic model which includes nonlinear power flow and a generic (potentially nonlinear or high-order) turbine-governor model, and further with first- and second-order turbine-governor models as special cases. In simulations, the proposed control scheme shows a comparable performance to the existing automatic generation control (AGC) when implemented only on the generator side, and demonstrates better dynamic characteristics than AGC when each scheme is implemented on both generators and controllable loads. Simulation results also show robustness of the proposed scheme to communication link failure.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.ijepes.2018.03.014DOIArticle
https://www.sciencedirect.com/science/article/pii/S0142061517324171PublisherArticle
ORCID:
AuthorORCID
Zhao, Changhong0000-0003-0539-8591
Mallada, Enrique0000-0003-1568-1833
Low, Steven H.0000-0001-6476-3048
Additional Information:© 2018 The Authors. Published by Elsevier Ltd. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes. Received 20 September 2017; Received in revised form 12 January 2018; Accepted 10 March 2018. This work was supported by NSF through grants CNS 1545096, EPCN 1619352, and CCF 1637598, DTRA through grant HDTRA 1-15-1-0003, ARPAE through the GRID DATA program and the NODES program, and Skoltech through Collaboration Agreement 1075-MRA. The work of E. Mallada was also supported by Johns Hopkins E2SHI Seed Grant, ARO through contract W911NF-17-1-0092, and NSF through grants CNS 1544771, EPCN 1711188, and AMPS 1736448.
Funders:
Funding AgencyGrant Number
NSFCNS-1545096
NSFEPCN-1619352
NSFCCF-1637598
Defense Threat Reduction Agency (DTRA)HDTRA 1-15-1-0003
Advanced Research Projects Agency-Energy (ARPA-E)UNSPECIFIED
Skoltech1075-MRA
Johns Hopkins UniversityUNSPECIFIED
Army Research Office (ARO)W911NF-17-1-0092
NSFCNS-1544771
NSFEPCN-1711188
NSFAMPS-1736448
Record Number:CaltechAUTHORS:20180327-084750901
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20180327-084750901
Official Citation:Changhong Zhao, Enrique Mallada, Steven H. Low, Janusz Bialek, Distributed plug-and-play optimal generator and load control for power system frequency regulation, International Journal of Electrical Power & Energy Systems, Volume 101, 2018, Pages 1-12, ISSN 0142-0615, https://doi.org/10.1016/j.ijepes.2018.03.014.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:85446
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:27 Mar 2018 18:25
Last Modified:27 Mar 2018 18:25

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