Michael Bardwell, Jason Wong, Steven Zhang, P. Musílek
{"title":"Design Considerations for IoT-Based PV Charge Controllers","authors":"Michael Bardwell, Jason Wong, Steven Zhang, P. Musílek","doi":"10.1109/SERVICES.2018.00043","DOIUrl":null,"url":null,"abstract":"A real-time solar array monitoring model based on Internet of Things (IoT) connectivity and cloud computing is proposed. Live control of maximum power point tracking (MPPT) parameters is realized via decisions computed on the Amazon Web Services (AWS) cloud. Information from a community of connected houses can be used to identify potential rooftop shading patterns. It can also share instantaneous power data for algorithm adjustment, creating system redundancy. In this paper, the feasibility of cloud based perturbation control for MPPT is discussed; tests on two separate IoT development boards show a maximum frequency of around 70 Hz, with the communication time acting as over 90% of the bottleneck.","PeriodicalId":130225,"journal":{"name":"2018 IEEE World Congress on Services (SERVICES)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE World Congress on Services (SERVICES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SERVICES.2018.00043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
A real-time solar array monitoring model based on Internet of Things (IoT) connectivity and cloud computing is proposed. Live control of maximum power point tracking (MPPT) parameters is realized via decisions computed on the Amazon Web Services (AWS) cloud. Information from a community of connected houses can be used to identify potential rooftop shading patterns. It can also share instantaneous power data for algorithm adjustment, creating system redundancy. In this paper, the feasibility of cloud based perturbation control for MPPT is discussed; tests on two separate IoT development boards show a maximum frequency of around 70 Hz, with the communication time acting as over 90% of the bottleneck.