Distributed Optimal Generation and Load-Side Control for Frequency Regulation in Power Systems

• 成果类型: Article
• 署名作者: Yang, Luwei; Liu, Tao; Tang, Zhiyuan; Hill, David J.
• 署名单位: University of Hong Kong; University of Sydney
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.3007537
• 发表日期: 2021
• 页码: 2724-2731
• 关键词: Frequency control; Power system stability; Automatic generation control; Heuristic algorithms; Generators; Transmission line matrix methods; asymptotic stability; distributed optimization; frequency regulation; load-side control

摘要

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.