Ali Soltani Sharif Abadi, P. A. Hosseinabadi, S. Mekhilef
{"title":"基于VSC模型的两种新型智能电网光伏系统AOTSMC","authors":"Ali Soltani Sharif Abadi, P. A. Hosseinabadi, S. Mekhilef","doi":"10.1109/SGC.2017.8320341","DOIUrl":null,"url":null,"abstract":"Optimization of cost functions along with control systems is a very significant issue in smart grids. In this paper, two novel control laws are designed to control photovoltaic system using Voltage Source Converter (VSC) model. The proposed control method is created by incorporating the optimization method, Linear Quadratic Regulator (LQR), and the Terminal Sliding Mode Control (TSMC) scheme, along with estimation of upper bound of system's uncertainties by adaptive concept. Then, numerical simulation is carried out by using MATLAB Simulink environment to verify the effectiveness of designed control laws in this note. At the end, a comprehensive comparison is provided to compare these two control laws from various aspects. Some of the key features of the proposed controllers are the robustness against a variety of uncertainties and external disturbances, as well as the finite time stability and Chattering-free.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Two novel AOTSMC of Photovoltaic system using VSC model in smart grid\",\"authors\":\"Ali Soltani Sharif Abadi, P. A. Hosseinabadi, S. Mekhilef\",\"doi\":\"10.1109/SGC.2017.8320341\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optimization of cost functions along with control systems is a very significant issue in smart grids. In this paper, two novel control laws are designed to control photovoltaic system using Voltage Source Converter (VSC) model. The proposed control method is created by incorporating the optimization method, Linear Quadratic Regulator (LQR), and the Terminal Sliding Mode Control (TSMC) scheme, along with estimation of upper bound of system's uncertainties by adaptive concept. Then, numerical simulation is carried out by using MATLAB Simulink environment to verify the effectiveness of designed control laws in this note. At the end, a comprehensive comparison is provided to compare these two control laws from various aspects. Some of the key features of the proposed controllers are the robustness against a variety of uncertainties and external disturbances, as well as the finite time stability and Chattering-free.\",\"PeriodicalId\":346749,\"journal\":{\"name\":\"2017 Smart Grid Conference (SGC)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Smart Grid Conference (SGC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SGC.2017.8320341\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Smart Grid Conference (SGC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SGC.2017.8320341","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Two novel AOTSMC of Photovoltaic system using VSC model in smart grid
Optimization of cost functions along with control systems is a very significant issue in smart grids. In this paper, two novel control laws are designed to control photovoltaic system using Voltage Source Converter (VSC) model. The proposed control method is created by incorporating the optimization method, Linear Quadratic Regulator (LQR), and the Terminal Sliding Mode Control (TSMC) scheme, along with estimation of upper bound of system's uncertainties by adaptive concept. Then, numerical simulation is carried out by using MATLAB Simulink environment to verify the effectiveness of designed control laws in this note. At the end, a comprehensive comparison is provided to compare these two control laws from various aspects. Some of the key features of the proposed controllers are the robustness against a variety of uncertainties and external disturbances, as well as the finite time stability and Chattering-free.