Distributed Predefined-Time Fractional-Order Sliding Mode Control for Power System With Prescribed Tracking Performance

被引:40
作者
Huang, Sunhua [1 ]
Wang, Jie [1 ]
Xiong, Linyun [2 ]
Liu, Jiayan [3 ]
Li, Penghan [1 ]
Wang, Ziqiang [1 ]
机构
[1] Shanghai Jiao Tong Univ, Minist Educ, Key Lab Control Power Transmiss & Convers, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
[2] Chongqing Univ, Sch Elect Engn, Chongqing 400044, Peoples R China
[3] TU Dortmund Univ, Inst Energy Syst Energy Efficiency & Energy Econ, D-44227 Dortmund, Germany
基金
中国国家自然科学基金;
关键词
Power system stability; Convergence; Decentralized control; Transient analysis; Stability criteria; Generators; Power system dynamics; Power system; distributed control; fractional calculus; predefined-time stability; sliding mode control; prescribed performance function; Lyapunov function; EXCITATION CONTROLLER; TRANSIENT STABILITY; ENERGY-STORAGE; STABILIZATION; DESIGN; MICROGRIDS; FREQUENCY; SCHEME;
D O I
10.1109/TPWRS.2021.3117126
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, a distributed predefined-time fractional-order sliding mode controller (DPTFOSMC) is proposed for performance improvement of power system. The proposed DPTFOSMC is designed based on the multi-agent framework and distributed control theory, which can reduce the pressure of central controller in communication and calculation, thus obtaining fast and coordinated response. The DPTFOSMC can achieve the advantages of sliding mode control (SMC) with fast response and strong robustness for the power system. In addition, the power system under the proposed DPTFOSMC can be stabilized in stable range within a predefined time which is directly equal to the tunable parameter, thus meeting the high requirement for convergence time of the power system. The prescribed performance function (PPF) is carried out to design the DPTFOSMC, which can ensure that the power system can achieve the expected transient and steady responses. Meanwhile, fractional calculus is implemented to devise the DPTFOSMC to eliminate the chattering phenomenon of conventional SMC. The Lyapunov function is adopted to analysis the predefined-time stability of the power system under the proposed DPTFOSMC. Simulations are taken to validate the effectiveness and superior performance of the proposed DPTFOSMC for the power system. The results show that the DPTFOSMC can ensure the power system to achieve superior performances than the existing control methods.
引用
收藏
页码:2233 / 2246
页数:14
相关论文
共 50 条
[1]   A fuzzy logic-controlled superconducting magnetic energy storage for transient stability augmentation [J].
Ali, Mohd. Hasan ;
Murata, Toshiaki ;
Tamura, Junji .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2007, 15 (01) :144-150
[2]   A Distributed Control Approach for Enhancing Smart Grid Transient Stability and Resilience [J].
Ayar, Muharrem ;
Obuz, Serhat ;
Trevizan, Rodrigo D. ;
Bretas, Arturo S. ;
Latchman, Haniph A. .
IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (06) :3035-3044
[3]  
Baghaee H.R., 2017, IEEE Transactions on Industrial Informatics, DOI DOI 10.1109/TII.2017.2677943
[4]   Decentralized Sliding Mode Control of WG/PV/FC Microgrids Under Unbalanced and Nonlinear Load Conditions for On- and Off-Grid Modes [J].
Baghaee, Hamid Reza ;
Mirsalim, Mojtaba ;
Gharehpetian, Gevork B. ;
Talebi, Heidar Ali .
IEEE SYSTEMS JOURNAL, 2018, 12 (04) :3108-3119
[5]   A generalized descriptor-system robust H∞ control of autonomous microgrids to improve small and large signal stability considering communication delays and load nonlinearities [J].
Baghaee, Hamid Reza ;
Mirsalim, Mojtaba ;
Gharehpetian, Gevork B. ;
Talebi, Heidar Ali .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2017, 92 :63-82
[6]  
Sánchez-Tones JD, 2015, P AMER CONTR CONF, P5842, DOI 10.1109/ACC.2015.7172255
[7]   On the Use of Energy Storage Systems and Linear Feedback Optimal Control for Transient Stability [J].
Farraj, Abdallah ;
Hammad, Eman ;
Kundur, Deepa .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 13 (04) :1575-1585
[8]   Fuzzy Multiple Hidden Layer Recurrent Neural Control of Nonlinear System Using Terminal Sliding-Mode Controller [J].
Fei, Juntao ;
Chen, Yun ;
Liu, Lunhaojie ;
Fang, Yunmei .
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (09) :9519-9534
[9]   Novel Neural Network Fractional-Order Sliding-Mode Control With Application to Active Power Filter [J].
Fei, Juntao ;
Wang, Huan ;
Fang, Yunmei .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 52 (06) :3508-3518
[10]   Fractional Sliding-Mode Control for Microgyroscope Based on Multilayer Recurrent Fuzzy Neural Network [J].
Fei, Juntao ;
Wang, Zhe ;
Liang, Xiao ;
Feng, Zhilin ;
Xue, Yuncan .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (06) :1712-1721