TY - JOUR
T1 - Distributed optimal generation and load-side control for frequency regulation in power systems
AU - Yang, Luwei
AU - Liu, Tao
AU - Tang, Zhiyuan
AU - Hill, David J.
N1 - Funding Information:
Manuscript received October 3, 2019; revised February 18, 2020, March 8, 2020, and March 17, 2020; accepted July 1, 2020. Date of publication July 7, 2020; date of current version May 27, 2021. This work was supported by the Research Grants Council of the Hong Kong Special Administrative Region under the Theme-Based Research Scheme through Project T23-701/14-N and General Research Fund Through Project 17256516. Recommended by Associate Editor R. P. Malhame. (Corresponding author: Luwei Yang.) Luwei Yang, Tao Liu, and Zhiyuan Tang are with the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 1963-2012 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - In order to deal with issues caused by the increasing penetration of renewable resources in power systems, this article proposes a novel distributed frequency control algorithm for each generating unit and controllable load in a transmission network to replace the conventional automatic generation control. The targets of the proposed control algorithm are twofold. First, it is to restore the nominal frequency and scheduled net interarea power exchanges after an active power mismatch between generation and demand. Second, it is to optimally coordinate the active powers of all controllable units in a distributed manner. The designed controller only relies on local information, computation, and peer-to-peer communication between cyber-connected buses, and it is also robust against uncertain system parameters. Asymptotic stability of the closed-loop system under the designed algorithm is analyzed by using a nonlinear structure-preserving model including the first-order turbine-governor dynamics. Finally, case studies validate the effectiveness of the proposed method.
AB - In order to deal with issues caused by the increasing penetration of renewable resources in power systems, this article proposes a novel distributed frequency control algorithm for each generating unit and controllable load in a transmission network to replace the conventional automatic generation control. The targets of the proposed control algorithm are twofold. First, it is to restore the nominal frequency and scheduled net interarea power exchanges after an active power mismatch between generation and demand. Second, it is to optimally coordinate the active powers of all controllable units in a distributed manner. The designed controller only relies on local information, computation, and peer-to-peer communication between cyber-connected buses, and it is also robust against uncertain system parameters. Asymptotic stability of the closed-loop system under the designed algorithm is analyzed by using a nonlinear structure-preserving model including the first-order turbine-governor dynamics. Finally, case studies validate the effectiveness of the proposed method.
KW - Distributed optimization
KW - frequency regulation
KW - load-side control
UR - http://www.scopus.com/inward/record.url?scp=85107057611&partnerID=8YFLogxK
U2 - 10.1109/TAC.2020.3007537
DO - 10.1109/TAC.2020.3007537
M3 - Article
AN - SCOPUS:85107057611
SN - 0018-9286
VL - 66
SP - 2724
EP - 2731
JO - IEEE Transactions on Automatic Control
JF - IEEE Transactions on Automatic Control
IS - 6
ER -
