Wang, Zhaojian and Liu, Feng and Pang, John and Low, Steven and Mei, Shengwei (2019) Distributed Optimal Frequency Control Considering a Nonlinear Network-Preserving Model. In: 2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE , Piscataway, NJ, p. 1. ISBN 978-1-7281-1981-6. https://resolver.caltech.edu/CaltechAUTHORS:20200210-125626205
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Abstract
This paper addresses the distributed optimal frequency control of power systems considering a network-preserving model with nonlinear power flows and excitation voltage dynamics. Salient features of the proposed distributed control strategy are fourfold: i) nonlinearity is considered to cope with large disturbances; ii) only a part of generators are controllable; iii) no load measurement is required; iv) communication connectivity is required only for the controllable generators. To this end, benefiting from the concept of “virtual load demand”, we first design the distributed controller for the controllable generators by leveraging the primal-dual decomposition technique. We then propose a method to estimate the virtual load demand of each controllable generator based on local frequencies. We derive incremental passivity conditions for the uncontrollable generators. Finally, we prove that the closed-loop system is asymptotically stable and its equilibrium attains the optimal solution to the associated economic dispatch problem. Simulations, including small and large-disturbance scenarios, are carried on the New England system, demonstrating the effectiveness of our design.
Item Type: | Book Section | ||||||||||||
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Additional Information: | © 2019 IEEE. | ||||||||||||
DOI: | 10.1109/pesgm40551.2019.8974065 | ||||||||||||
Record Number: | CaltechAUTHORS:20200210-125626205 | ||||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20200210-125626205 | ||||||||||||
Official Citation: | Z. Wang, F. Liu, J. Pang, S. Low and S. Mei, "Distributed Optimal Frequency Control Considering a Nonlinear Network-Preserving Model," 2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, USA, 2019, pp. 1-1. doi: 10.1109/PESGM40551.2019.8974065 | ||||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||
ID Code: | 101204 | ||||||||||||
Collection: | CaltechAUTHORS | ||||||||||||
Deposited By: | Tony Diaz | ||||||||||||
Deposited On: | 10 Feb 2020 21:11 | ||||||||||||
Last Modified: | 16 Nov 2021 18:00 |
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