{"title":"基于pv的并网电动车中带SEPIC变换器的混合优化PI控制器","authors":"Ananda Babu Kancherla, N.Bhanu Prasad, D. Kishore","doi":"10.1109/IConSCEPT57958.2023.10170601","DOIUrl":null,"url":null,"abstract":"Electric vehicles (EVs), which assist sustainable transportation while minimising carbon emissions, have recently attracted a lot of interest. Utilizing EVs powered by photovoltaics (PV) significantly minimises the amount of carbon dioxide emitted into the atmosphere. The DC-DC SEPIC converter receives the PV output first, and gives output as high dc output voltage with low switching loss, and a non-inverting output. A hybrid Grey wolf optimization-Particle Swarm Optimization (GWO-PSO) based Proportional Integral (PI) controller is used to manage the performance of the SEPIC converter in order to ensure a steady DC voltage for the three phase Voltage Source Inverter (3-Ø VSI).The EV’s run by BLDC motor is powered by the 3-Ø VSI output. During the day, the EV application may run on power from the PV however, at night, when the sun is not shining, the BLDC motor needs power from the grid. This system is linked to the grid via a 1-Ø VSI. The efficiency of the hybrid GWO-PSO algorithm PI Controller is 96% which is verified using MATLAB Simulation.","PeriodicalId":240167,"journal":{"name":"2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hybrid-optimized PI Controller With SEPIC Converter in PV-Based Grid-Integrated Electric Vehicle\",\"authors\":\"Ananda Babu Kancherla, N.Bhanu Prasad, D. Kishore\",\"doi\":\"10.1109/IConSCEPT57958.2023.10170601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electric vehicles (EVs), which assist sustainable transportation while minimising carbon emissions, have recently attracted a lot of interest. Utilizing EVs powered by photovoltaics (PV) significantly minimises the amount of carbon dioxide emitted into the atmosphere. The DC-DC SEPIC converter receives the PV output first, and gives output as high dc output voltage with low switching loss, and a non-inverting output. A hybrid Grey wolf optimization-Particle Swarm Optimization (GWO-PSO) based Proportional Integral (PI) controller is used to manage the performance of the SEPIC converter in order to ensure a steady DC voltage for the three phase Voltage Source Inverter (3-Ø VSI).The EV’s run by BLDC motor is powered by the 3-Ø VSI output. During the day, the EV application may run on power from the PV however, at night, when the sun is not shining, the BLDC motor needs power from the grid. This system is linked to the grid via a 1-Ø VSI. The efficiency of the hybrid GWO-PSO algorithm PI Controller is 96% which is verified using MATLAB Simulation.\",\"PeriodicalId\":240167,\"journal\":{\"name\":\"2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IConSCEPT57958.2023.10170601\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IConSCEPT57958.2023.10170601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
电动汽车(ev)有助于可持续交通,同时最大限度地减少碳排放,最近引起了很多人的兴趣。利用由光伏发电(PV)驱动的电动汽车可以显着减少排放到大气中的二氧化碳量。dc - dc SEPIC变换器首先接收PV输出,输出为高直流输出电压,低开关损耗,无反相输出。为了保证三相电压源逆变器(3-Ø VSI)的直流电压稳定,采用混合灰狼优化-粒子群优化(GWO-PSO)的比例积分(PI)控制器对SEPIC变换器的性能进行控制。电动汽车由无刷直流电机运行,由3-Ø VSI输出供电。在白天,电动汽车应用程序可以从光伏供电,但在晚上,当太阳没有照耀,无刷直流电机需要从电网供电。该系统通过1-Ø VSI连接到电网。混合GWO-PSO算法PI控制器的效率为96%,并通过MATLAB仿真进行了验证。
Hybrid-optimized PI Controller With SEPIC Converter in PV-Based Grid-Integrated Electric Vehicle
Electric vehicles (EVs), which assist sustainable transportation while minimising carbon emissions, have recently attracted a lot of interest. Utilizing EVs powered by photovoltaics (PV) significantly minimises the amount of carbon dioxide emitted into the atmosphere. The DC-DC SEPIC converter receives the PV output first, and gives output as high dc output voltage with low switching loss, and a non-inverting output. A hybrid Grey wolf optimization-Particle Swarm Optimization (GWO-PSO) based Proportional Integral (PI) controller is used to manage the performance of the SEPIC converter in order to ensure a steady DC voltage for the three phase Voltage Source Inverter (3-Ø VSI).The EV’s run by BLDC motor is powered by the 3-Ø VSI output. During the day, the EV application may run on power from the PV however, at night, when the sun is not shining, the BLDC motor needs power from the grid. This system is linked to the grid via a 1-Ø VSI. The efficiency of the hybrid GWO-PSO algorithm PI Controller is 96% which is verified using MATLAB Simulation.