S. Choudhury, Abhijeet Choudhury, Deepsikha Panda, P. Rout
{"title":"基于自适应模糊逻辑和PI控制器的孤岛微电网在不同电压和负载变化下的最优控制","authors":"S. Choudhury, Abhijeet Choudhury, Deepsikha Panda, P. Rout","doi":"10.1109/ICCPCT.2016.7530251","DOIUrl":null,"url":null,"abstract":"This paper presents a robust & astute voltage control avenue for micro grid system operating in autonomous mode. The proposed Adaptive Fuzzy Logic Controller contains two Mamdani based FLC which features in self adjustment of scaling factors, Membership Functions & control gains during uncertainties regardless of any change in the operating conditions. A Hysteresis Band Current Controller (HBCC) has been used which helps in generating the gate pulses for the Voltage Source Converters (VSCs) and also helps in controlling the current instantaneously. The HBCC used in this system limits the device current & gives a faster response irrespective of the controllers & the control outputs used. The proposed controller shows exceptional results as compared to the traditional PI controller. Irrespective of load variation, voltage variation & load unbalance the proposed technique holds good. The transient response time is exclusively reduced, power oscillations are wiped out and faster concurrence is obtained. The uncomplicated design & upgraded dynamic behavior of the A-FLC makes it assuring contestant for Voltage control in autonomous micro grid. Apart from all these disturbances the system was modeled, validated and simulated under the simulation studies in MATLAB environment.","PeriodicalId":431894,"journal":{"name":"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Optimal control of islanded microgrid with adaptive fuzzy logic & PI controller using HBCC under various voltage & load variation\",\"authors\":\"S. Choudhury, Abhijeet Choudhury, Deepsikha Panda, P. Rout\",\"doi\":\"10.1109/ICCPCT.2016.7530251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a robust & astute voltage control avenue for micro grid system operating in autonomous mode. The proposed Adaptive Fuzzy Logic Controller contains two Mamdani based FLC which features in self adjustment of scaling factors, Membership Functions & control gains during uncertainties regardless of any change in the operating conditions. A Hysteresis Band Current Controller (HBCC) has been used which helps in generating the gate pulses for the Voltage Source Converters (VSCs) and also helps in controlling the current instantaneously. The HBCC used in this system limits the device current & gives a faster response irrespective of the controllers & the control outputs used. The proposed controller shows exceptional results as compared to the traditional PI controller. Irrespective of load variation, voltage variation & load unbalance the proposed technique holds good. The transient response time is exclusively reduced, power oscillations are wiped out and faster concurrence is obtained. The uncomplicated design & upgraded dynamic behavior of the A-FLC makes it assuring contestant for Voltage control in autonomous micro grid. Apart from all these disturbances the system was modeled, validated and simulated under the simulation studies in MATLAB environment.\",\"PeriodicalId\":431894,\"journal\":{\"name\":\"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCPCT.2016.7530251\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPCT.2016.7530251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal control of islanded microgrid with adaptive fuzzy logic & PI controller using HBCC under various voltage & load variation
This paper presents a robust & astute voltage control avenue for micro grid system operating in autonomous mode. The proposed Adaptive Fuzzy Logic Controller contains two Mamdani based FLC which features in self adjustment of scaling factors, Membership Functions & control gains during uncertainties regardless of any change in the operating conditions. A Hysteresis Band Current Controller (HBCC) has been used which helps in generating the gate pulses for the Voltage Source Converters (VSCs) and also helps in controlling the current instantaneously. The HBCC used in this system limits the device current & gives a faster response irrespective of the controllers & the control outputs used. The proposed controller shows exceptional results as compared to the traditional PI controller. Irrespective of load variation, voltage variation & load unbalance the proposed technique holds good. The transient response time is exclusively reduced, power oscillations are wiped out and faster concurrence is obtained. The uncomplicated design & upgraded dynamic behavior of the A-FLC makes it assuring contestant for Voltage control in autonomous micro grid. Apart from all these disturbances the system was modeled, validated and simulated under the simulation studies in MATLAB environment.