{"title":"基于振幅补偿法为带通信延迟的电力系统设计模糊延迟补偿控制器","authors":"Jun Li, Hongliang Gao, Yong Wang","doi":"10.1007/s40815-024-01781-5","DOIUrl":null,"url":null,"abstract":"<p>In a networked power system, communication delay in the feedback signal during transmission process can have a detrimental impact on the effectiveness of the power system stabilizer (PSS) in suppressing low-frequency oscillations. To address this problem, a controller design method to compensate for short constant time delays is proposed. The proposed approach utilizes Mamdani fuzzy inference system to design a fuzzy delay compensation damping controller (FDCDC) and establishes control rules based on the amplitude compensation method. The proposed FDCDC takes the delayed feedback signal as input and generates additional excitation control signal as output. The controller considers the effect of delay on the performance of PSS controller and compensates for the delay through fuzzy output. To evaluate the effectiveness of the proposed FDCDC, a networked power system model is developed using MATLAB Simulink’s SimPowerSystems library and TrueTime 2.0 toolbox. The aim of this study is to investigate the impact of short constant time delay on the performance of PSS controller in a networked environment and to assess the performance of the proposed controller. The simulation results demonstrate that the proposed FDCDC exhibits good adaptability and robustness in compensating for the effect of delay on PSS control.</p>","PeriodicalId":14056,"journal":{"name":"International Journal of Fuzzy Systems","volume":"37 1","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of Fuzzy Delay Compensation Controller Based on Amplitude Compensation Method for Power System with Communication Delay\",\"authors\":\"Jun Li, Hongliang Gao, Yong Wang\",\"doi\":\"10.1007/s40815-024-01781-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In a networked power system, communication delay in the feedback signal during transmission process can have a detrimental impact on the effectiveness of the power system stabilizer (PSS) in suppressing low-frequency oscillations. To address this problem, a controller design method to compensate for short constant time delays is proposed. The proposed approach utilizes Mamdani fuzzy inference system to design a fuzzy delay compensation damping controller (FDCDC) and establishes control rules based on the amplitude compensation method. The proposed FDCDC takes the delayed feedback signal as input and generates additional excitation control signal as output. The controller considers the effect of delay on the performance of PSS controller and compensates for the delay through fuzzy output. To evaluate the effectiveness of the proposed FDCDC, a networked power system model is developed using MATLAB Simulink’s SimPowerSystems library and TrueTime 2.0 toolbox. The aim of this study is to investigate the impact of short constant time delay on the performance of PSS controller in a networked environment and to assess the performance of the proposed controller. The simulation results demonstrate that the proposed FDCDC exhibits good adaptability and robustness in compensating for the effect of delay on PSS control.</p>\",\"PeriodicalId\":14056,\"journal\":{\"name\":\"International Journal of Fuzzy Systems\",\"volume\":\"37 1\",\"pages\":\"\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Fuzzy Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s40815-024-01781-5\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fuzzy Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s40815-024-01781-5","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Design of Fuzzy Delay Compensation Controller Based on Amplitude Compensation Method for Power System with Communication Delay
In a networked power system, communication delay in the feedback signal during transmission process can have a detrimental impact on the effectiveness of the power system stabilizer (PSS) in suppressing low-frequency oscillations. To address this problem, a controller design method to compensate for short constant time delays is proposed. The proposed approach utilizes Mamdani fuzzy inference system to design a fuzzy delay compensation damping controller (FDCDC) and establishes control rules based on the amplitude compensation method. The proposed FDCDC takes the delayed feedback signal as input and generates additional excitation control signal as output. The controller considers the effect of delay on the performance of PSS controller and compensates for the delay through fuzzy output. To evaluate the effectiveness of the proposed FDCDC, a networked power system model is developed using MATLAB Simulink’s SimPowerSystems library and TrueTime 2.0 toolbox. The aim of this study is to investigate the impact of short constant time delay on the performance of PSS controller in a networked environment and to assess the performance of the proposed controller. The simulation results demonstrate that the proposed FDCDC exhibits good adaptability and robustness in compensating for the effect of delay on PSS control.
期刊介绍:
The International Journal of Fuzzy Systems (IJFS) is an official journal of Taiwan Fuzzy Systems Association (TFSA) and is published semi-quarterly. IJFS will consider high quality papers that deal with the theory, design, and application of fuzzy systems, soft computing systems, grey systems, and extension theory systems ranging from hardware to software. Survey and expository submissions are also welcome.