Adjustable Event-Triggered Load Frequency Control of Power Systems Using Control-Performance-Standard-Based Fuzzy Logic



Shangguan, Xing-Chen, He, Yong, Zhang, Chuan-Ke, Jiang, Lin ORCID: 0000-0001-6531-2791 and Wu, Min
(2022) Adjustable Event-Triggered Load Frequency Control of Power Systems Using Control-Performance-Standard-Based Fuzzy Logic. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 30 (8). pp. 3297-3311.

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Abstract

This article proposesa control performance standard (CPS)-based fuzzy event-triggered scheme for load frequency control (LFC) of power systems with a limited communication bandwidth. First, a CPS-based fuzzy LFC system is established to reduce the wear and tear of the generating unit equipment. Then, based on the Lyapunov stability theory, a stability criterion of the LFC system is proposed to ensure the stable operation of the LFC system, which considers the threshold parameter of the event-triggered condition and the fuzzy gain in the fuzzy LFC system. Next, based on the stability criterion and the Gaussian-type curve-fitting method, a functional expression between the fuzzy gain and the threshold parameter is obtained. According to the expression, the threshold parameter is updated in real time with the change of fuzzy gain, so as to further save usage of the communication network bandwidth. Case studies based on a one-area power system and an IEEE 39-bus benchmark test system are undertaken. Simulation results show that the proposed scheme achieves three objectives: 1) to comply with CPS1 and CPS2 in the North American Electric Reliability Council; 2) to reduce wear and tear of the generating unit equipment; and 3) tosave more communication network resources.

Item Type: Article
Uncontrolled Keywords: Bandwidth, Communication networks, Control performance standards 1 and 2, event-triggered (ET) control, Frequency control, fuzzy control, Fuzzy control, limited communication bandwidth, load frequency control (LFC), Power system stability, power systems, Stability criteria, Standards
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 14 Sep 2022 08:11
Last Modified: 15 Mar 2024 04:52
DOI: 10.1109/TFUZZ.2021.3112232
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3164587