Design Considerations for IoT-Based PV Charge Controllers

Michael Bardwell, Jason Wong, Steven Zhang, P. Musílek
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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.
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基于物联网的光伏充电控制器的设计考虑
提出了一种基于物联网连接和云计算的太阳能电池阵实时监测模型。最大功率点跟踪(MPPT)参数的实时控制是通过在亚马逊网络服务(AWS)云上计算决策实现的。来自连接房屋社区的信息可用于识别潜在的屋顶遮阳模式。它还可以共享瞬时功率数据,用于算法调整,创建系统冗余。本文讨论了基于云的微扰控制MPPT的可行性;在两个独立的物联网开发板上进行的测试显示,最大频率约为70 Hz,通信时间占瓶颈的90%以上。
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