摘要
为了解决经典控制理论在带有分布式电源的配电网应用中存在精度低和稳定性差的问题，本研究提出了一种基于柔性多状态开关（FMS）的控制方法。该方法基于改进的双环递归模糊神经网络（DRFNN）滑模，旨在稳定地实现多条馈线的功率交互，以及单相接地故障的自适应电弧抑制功能。首先，提出了一种改进的DRFNN滑模控制（SMC）方法，旨在克服经典SMC固有的抖振和瞬态超调问题，减少对控制系统精确数学模型的依赖。为了提高系统的鲁棒性，设计了一种DRFNN的自适应参数调整策略，利用其动态映射能力提高暂态补偿能力。此外，还开发了一种基于微积分滑模表面的准连续二阶滑模控制器，以提高电流跟踪精度和系统稳定性。利用李雅普诺夫定理验证了所提方法的稳定性和网络参数的收敛性。在MATLAB/Simulink中构建了带控制系统的三端口FMS仿真模型。仿真结果通过对比分析验证了所提控制策略的可行性和有效性。
Control method based on DRFNN sliding mode for multifunctional flexible multistate switch
基于DRFNN滑模的多功能柔性多状态开关控制方法
Jianghua Liao, Wei Gao, Yan Yang, Gengjie Yang
1.College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,P.R.China
2.Faculty of Automation Huaiyin Institute of Technology,Huai’an 223003,P.R.China
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Abstract
Keywords
Distribution networks; Flexible multistate switch; Grounding fault arc suppression; Double-loop recursive fuzzy neural network; Quasi-continuous second-order sliding mode
Fig. 1 Flexible interconnected distribution network
Fig. 2 Topology structure of MMC
Fig. 3 Single-phase grounding fault in flexible interconnected distribution network
Fig. 4 Zero-sequence current transmission paths when two-terminal grounding fault occurs
Fig. 5 Block diagram of current-loop control system under udc-Q mode
Fig. 6 Structure diagram of double-loop recurrent fuzzy neural network
Fig. 7 Power steady state response waveform
Fig. 8 THD of A-phase current under different control strategies
Fig. 9 D-axis current dynamic response waveforms of three methods
Fig. 10 DC-link voltage response waveforms of three methods
Fig. 11 Active power response waveforms under different FNN control methods
Fig. 12 Active and reactive power response during power step
Fig. 13 Adaptive change of kT during control process
Fig. 14 D-axis current waveform when λ was set to an extremely large value
Fig. 15 Ground currents based on different transition resistors
Fig. 16 Ground current waveforms after double-ended grounding faults
Fig. 17 Ground current under various methods with Rf = 3,000 Ω
本文引文信息
Liao JH, Gao W,Yang Y, et al. (2023) Control method based on DRFNN sliding mode for multifunctional flexible multistate switch, Global Energy Interconnection, 7(2): 190-205
廖江华，高伟，杨艳等 (2023) 基于DRFNN滑模的多功能柔性多状态开关控制方法. 全球能源互联网（英文）, 7(2): 190-205
Biographies
Jianghua Liao
Jianghua Liao received the B.E.E degree at Fuzhou University,Fuzhou,China,in 2021.He is currently pursuing a Master’s degree at Fuzhou University,Fuzhou,China.His research interests include fault flexible suppression technology of distribution networks.
Wei Gao
Wei Gao received the B.S.and M.S.degrees at Fuzhou University,China,in 2005 and 2008,respectively,and the Ph.D.degree from the National Taiwan University of Science and Technology,Taiwan,in 2021.He is currently an Associate Professor and doctoral supervisor at Fuzhou University.His research area focuses primarily on the generation technology of photovoltaics and the faults diagnosis of power equipment.
Yan Yang
Yan Yang received the M.S.degree from the China University of Mining and Technology,China,in 2009,and the Ph.D.degree from the National Taiwan University of Science and Technology, Taiwan,in 2022.She is a lecturer in the Department of Automation,Huaiyin Institute of Technology,China.Her research interests are smart microgrids and the intelligent control of power converters.
Gengjie Yang
Gengjie Yang received the B.S.and M.S.degrees at Fuzhou University,Fuzhou,China,in 1985 and 1988,respectively.He is a Professor in Fuzhou University. His research interests include power system analysis and control.
编辑：王彦博
审核：王 伟
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