P. Sivagami, Sangramjith Mukherjee, S. Chakraborty, M. Pushpavalli, P. Abirami
{"title":"基于飞回变换器的光伏系统智能控制技术的实现","authors":"P. Sivagami, Sangramjith Mukherjee, S. Chakraborty, M. Pushpavalli, P. Abirami","doi":"10.4108/EAI.16-5-2020.2304190","DOIUrl":null,"url":null,"abstract":"In this technological era the need for power increases rapidly and in order to meet the demand of power requirement of the population, voltage harnessed from various renewable energy sources has to be controlled. In order to increase and maintain stable output voltage many strategies are evolved with the help of many theories and approaches. But on increasing voltage, it leads to fluctuation and ripples at the output during the operation thereby increasing the cost of every equipment as well as maintenance. One of the non-conventional free sources available in abundant SOLAR is gaining popularity not only because of nondepleting nature but it is pollution free, clean green energy source. It helps in harnessing maximum energy by converting the light available into useful energy. For Photo voltaic (PV), the converter proposed is a modification of the existing boost converter with Fly back converter. It is like boost converter but has an additional advantage of isolation. The proffered model implemented with the intelligent control MPPT technique, in which the response time taken by the controller is faster. The controller helps in harnessing the maximum energy though influenced by the environmental factors. It uses a two-stage H-bridge inverter which is an open-loop circuit that converts the DC output of the converter into AC. Thus, the voltage harnessed from the model has waveform which is sinusoidal in nature with minimized harmonics which are obtained by using LC filters and are finally fed to the load. The approaches using boost converter has made satisfactory results in the past few decades but with recent theories, fly back converter can now be proved as a better way This approach thereby leads to a cost-effective technique of voltage boosting for high voltage applications. Experimental result obtained using hardware setup validates the proffered model.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementation of Intelligent Control Technique for Fly Back Converter Based Photovoltaic System\",\"authors\":\"P. Sivagami, Sangramjith Mukherjee, S. Chakraborty, M. Pushpavalli, P. Abirami\",\"doi\":\"10.4108/EAI.16-5-2020.2304190\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this technological era the need for power increases rapidly and in order to meet the demand of power requirement of the population, voltage harnessed from various renewable energy sources has to be controlled. In order to increase and maintain stable output voltage many strategies are evolved with the help of many theories and approaches. But on increasing voltage, it leads to fluctuation and ripples at the output during the operation thereby increasing the cost of every equipment as well as maintenance. One of the non-conventional free sources available in abundant SOLAR is gaining popularity not only because of nondepleting nature but it is pollution free, clean green energy source. It helps in harnessing maximum energy by converting the light available into useful energy. For Photo voltaic (PV), the converter proposed is a modification of the existing boost converter with Fly back converter. It is like boost converter but has an additional advantage of isolation. The proffered model implemented with the intelligent control MPPT technique, in which the response time taken by the controller is faster. The controller helps in harnessing the maximum energy though influenced by the environmental factors. It uses a two-stage H-bridge inverter which is an open-loop circuit that converts the DC output of the converter into AC. Thus, the voltage harnessed from the model has waveform which is sinusoidal in nature with minimized harmonics which are obtained by using LC filters and are finally fed to the load. The approaches using boost converter has made satisfactory results in the past few decades but with recent theories, fly back converter can now be proved as a better way This approach thereby leads to a cost-effective technique of voltage boosting for high voltage applications. Experimental result obtained using hardware setup validates the proffered model.\",\"PeriodicalId\":274686,\"journal\":{\"name\":\"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4108/EAI.16-5-2020.2304190\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/EAI.16-5-2020.2304190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of Intelligent Control Technique for Fly Back Converter Based Photovoltaic System
In this technological era the need for power increases rapidly and in order to meet the demand of power requirement of the population, voltage harnessed from various renewable energy sources has to be controlled. In order to increase and maintain stable output voltage many strategies are evolved with the help of many theories and approaches. But on increasing voltage, it leads to fluctuation and ripples at the output during the operation thereby increasing the cost of every equipment as well as maintenance. One of the non-conventional free sources available in abundant SOLAR is gaining popularity not only because of nondepleting nature but it is pollution free, clean green energy source. It helps in harnessing maximum energy by converting the light available into useful energy. For Photo voltaic (PV), the converter proposed is a modification of the existing boost converter with Fly back converter. It is like boost converter but has an additional advantage of isolation. The proffered model implemented with the intelligent control MPPT technique, in which the response time taken by the controller is faster. The controller helps in harnessing the maximum energy though influenced by the environmental factors. It uses a two-stage H-bridge inverter which is an open-loop circuit that converts the DC output of the converter into AC. Thus, the voltage harnessed from the model has waveform which is sinusoidal in nature with minimized harmonics which are obtained by using LC filters and are finally fed to the load. The approaches using boost converter has made satisfactory results in the past few decades but with recent theories, fly back converter can now be proved as a better way This approach thereby leads to a cost-effective technique of voltage boosting for high voltage applications. Experimental result obtained using hardware setup validates the proffered model.