基于神经网络的混合储能系统与直流独立光伏系统的连接

2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON) Pub Date : 2022-05-05 DOI:10.1109/PECCON55017.2022.9851153

Pallavi Mohan R, R. Sreelekshmi, M. Nair

{"title":"基于神经网络的混合储能系统与直流独立光伏系统的连接","authors":"Pallavi Mohan R, R. Sreelekshmi, M. Nair","doi":"10.1109/PECCON55017.2022.9851153","DOIUrl":null,"url":null,"abstract":"Solar power generation is regarded as the propitious generation method that is used in microgrids. Intermittent nature is one of the major obstruction in the PV system. Battery energy storage systems (BESS) can be used for mitigating this issue. But battery lifespan will be adversely affected due to intermittency of PV. By contemplating this, a hybrid combination of Supercapacitor (SC) and Lithium ion battery with its high energy and power density respectively along with Artificial Neural Network (ANN) is introduced here to surmount the limitations of available storage systems. Simulation is implemented in MATLAB/Simulink.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Neural Network Based Hybrid Energy Storage System Connected to a DC Standalone PV System\",\"authors\":\"Pallavi Mohan R, R. Sreelekshmi, M. Nair\",\"doi\":\"10.1109/PECCON55017.2022.9851153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Solar power generation is regarded as the propitious generation method that is used in microgrids. Intermittent nature is one of the major obstruction in the PV system. Battery energy storage systems (BESS) can be used for mitigating this issue. But battery lifespan will be adversely affected due to intermittency of PV. By contemplating this, a hybrid combination of Supercapacitor (SC) and Lithium ion battery with its high energy and power density respectively along with Artificial Neural Network (ANN) is introduced here to surmount the limitations of available storage systems. Simulation is implemented in MATLAB/Simulink.\",\"PeriodicalId\":129147,\"journal\":{\"name\":\"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)\",\"volume\":\"06 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PECCON55017.2022.9851153\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PECCON55017.2022.9851153","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

太阳能发电被认为是微电网中最有利的发电方式。间歇性是光伏发电系统的主要障碍之一。电池储能系统(BESS)可以用来缓解这个问题。但光伏发电的间歇性会对电池寿命产生不利影响。考虑到这一点，本文提出了一种能量密度高、功率密度高的超级电容器(SC)和锂离子电池的混合组合，以及人工神经网络(ANN)，以克服现有存储系统的局限性。仿真在MATLAB/Simulink中实现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Neural Network Based Hybrid Energy Storage System Connected to a DC Standalone PV System

Solar power generation is regarded as the propitious generation method that is used in microgrids. Intermittent nature is one of the major obstruction in the PV system. Battery energy storage systems (BESS) can be used for mitigating this issue. But battery lifespan will be adversely affected due to intermittency of PV. By contemplating this, a hybrid combination of Supercapacitor (SC) and Lithium ion battery with its high energy and power density respectively along with Artificial Neural Network (ANN) is introduced here to surmount the limitations of available storage systems. Simulation is implemented in MATLAB/Simulink.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)

自引率

0.00%

发文量