Power electronics intelligence at the network edge (PINE)
Power electronics intelligence at the network edge (PINE)
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DOI：
10.1109/ecce.2017.8096876
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发表时间：
2017-10
期刊：
影响因子：
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通讯作者：
Hung-Ming Chou;Le Xie;P. Enjeti;P. Kumar
中科院分区：
文献类型：
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作者：
Hung-Ming Chou;Le Xie;P. Enjeti;P. Kumar
本文提出了一种可扩展的配电网集成的能源资源，如屋顶光伏（PV）和电动汽车（EV）的愿景。这些资源的输出以不可预测的方式随时间变化。因此，它们给公用事业带来了巨大的挑战，而不是大规模部署这些资源。通过利用大多数分布式能源与电力电子转换器接口的事实，我们提出了一个完全分散的架构，以实现公用事业公司的主要目标，即（1）终端用户电压调节;（2）输送系统损耗最小化。建议的框架提供了一个自下而上的方法来集成许多这样的分布式资源，而无需大量的资本投资。该框架被称为网络边缘的电力电子智能（PINE），为支持未来配电系统中非常高水平的PV和EV渗透提供了可能的途径。IEEE 123节点测试馈线为最终用户和公用事业带来的运营优势已详细说明。
This paper puts forth a vision for scalable distribution grid integration of energy resources such as rooftop photovoltaics (PVs) and electric vehicles (EVs). The output of these resources vary temporally in an unpredicted manner. Therefore, they bring substantial challenges to utilities vis-a-vis massive deployment of such resources. By leveraging the fact that most of the distributed energy resources are interfaced with power electronics converters, we propose a fully decentralized architecture for achieving the main objectives of utility companies, namely, (1) end user voltage regulation; and (2) delivery system loss minimization. The proposed framework provides a bottom-up approach to integrating many such distributed resources without substantial capital investment. This framework, termed as Power Electronics Intelligence at the Network Edge (PINE), provides a possible pathway toward supporting a very high level of PV and EV penetration in future distribution systems. The operational benefits to end users as well as the utilities are elaborated with the IEEE 123-node Test Feeder.