T-S Fuzzy-Based Load Frequency Control of Multiarea Power System With Hybrid Delays: Performance Analysis and Improvement

被引:0
|
作者
Yuan, Zhe-Li [1 ,2 ,3 ]
Zhang, Chuan-Ke [1 ,2 ,3 ]
Shangguan, Xing-Chen [1 ,2 ,3 ]
Fan, Yu-Long [1 ,2 ,3 ]
He, Yong [1 ,2 ,3 ]
机构
[1] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat Co, Wuhan 430074, Peoples R China
[3] Minist Educ, Engn Res Ctr Intelligent Technol Geoexplorat, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
Delays; Frequency control; Power system stability; Hybrid power systems; Valves; Performance analysis; Generators; Design methodology; Analytical models; Upper bound; Hybrid delays; load frequency control (LFC); robust control; Takagi-Sugeno (T-S) fuzzy model; DEPENDENT STABILITY;
D O I
10.1109/TFUZZ.2024.3469272
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Load frequency control (LFC) is crucial for ensuring the frequency stability of power system, and its control performance is often affected by nonlinearities in devices and multisource-induced hybrid delays in control signal transmission networks. This article investigates the LFC performance analysis and improvement of power systems under the nonlinearities and hybrid delays. First, the nonlinear part is approximated by a Takagi-Sugeno (T-S) fuzzy model and the hybrid delay is divided into two regions, thus establishing a T-S fuzzy LFC model with hybrid delays. Then, based on switched system theory, a delay-dependent weighted H-infinity performance analysis criterion for LFC system is proposed, giving the necessary conditions to achieve a certain robustness of the system against disturbances. On this basis, a controller design method is proposed to ensure the system have the optimal level of disturbance rejection under the designed controller. Finally, case studies based on single-area and three-area LFC demonstrate that, compared with previous methods, the proposed method can obtain a larger allowable upper bound of delays and better H-infinity performance estimation. Based on this, the designed controller enhances the robust performance of LFC, thereby ensuring the stable operation of power systems under nonlinearities and hybrid delays.
引用
收藏
页码:6939 / 6950
页数:12
相关论文
共 50 条
  • [41] ADP-Based Decentralized Load Frequency Control Schemes to Multiarea Asynchronous Markov Jumping Power Systems With Experience Replay
    Wang, Hai
    Cheng, Jun
    Tang, Shengda
    Katib, Iyad
    Qiu, Xuan
    IEEE TRANSACTIONS ON CYBERNETICS, 2024, 54 (11) : 6997 - 7010
  • [42] Robust control of delay-dependent T-S fuzzy system based on method of descriptor model transformation
    Huang Ji
    Bo Yucheng
    Wang Huiyuan
    Artificial Intelligence Review, 2010, 34 : 205 - 220
  • [43] Consensus-Based Load Frequency Control of a Multi-Area Power System
    Patel, Ravi
    Wanigasekara, Chathura
    Swain, Akshya
    Ukil, Abhisek
    IEEE ACCESS, 2024, 12 : 175240 - 175251
  • [44] Further Stability Analysis for Load Frequency Control of Power Systems with Time-Varying Delays
    Feng, Wenxi
    Luo, Fei
    Zhang, Xianyong
    Duan, Wenyong
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 926 - 931
  • [45] STOCHASTIC STABILITY ANALYSIS AND SYNTHESIS FOR NONLINEAR FAULT TOLERANT CONTROL SYSTEMS BASED ON THE T-S FUZZY MODEL
    Wu, Huaining
    Bai, Mingzhen
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2010, 6 (09): : 3989 - 4000
  • [46] Robust analysis and design of power system load frequency control using the Kharitonov's theorem
    Toulabi, M. R.
    Shiroei, M.
    Ranjbar, A. M.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 55 : 51 - 58
  • [47] Interval-Observer-Based Fault Detection and Isolation Design for T-S Fuzzy System Based on Zonotope Analysis
    Zhu, Fanglai
    Tang, Yuyan
    Wang, Zhenhua
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (04) : 945 - 955
  • [48] Positivity and Stability Analysis of T-S Fuzzy Descriptor Systems With Bounded and Unbounded Time-Varying Delays
    Cui, Yukang
    Feng, Hao
    Zhang, Wei
    Shu, Zhan
    Huang, Tingwen
    IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (11) : 11649 - 11660
  • [49] LMI-Based Robust Predictive Load Frequency Control for Power Systems With Communication Delays
    Ojaghi, Pegah
    Rahmani, Mehdi
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (05) : 4091 - 4100
  • [50] T-S Fuzzy Sampled-Data LFC Scheme for Wind Power System via Improved Trapezoidal Algorithm
    Ding, Jia
    Wang, Jun
    Shi, Kaibo
    Cai, Xiao
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2025, 22 : 6797 - 6808