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Investigation of Approaches for Incorporating Smart Meter Data in Load and PV Models in Medium Voltage Power System Studies

机译:在中压电力系统研究中将智能电表数据纳入负载和PV模型的方法研究

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The amount of data collected at the distribution level has grown exponentially due to the proliferation of Advanced Metering Infrastructure (AMI). Increasing penetration of embedded generation sources, many of which are renewable sources, is also changing the dynamics of distribution systems. How do we utilize the vast amount of data available to better understand the changing dynamics of the distribution networks to improve grid reliability? This paper presents different approaches for incorporating smart meter data in load models for power flow studies using time series simulation in OpenDSS. The paper also investigates the impact of photovoltaic distributed generators on distribution voltage stability using simulations in OpenDSS.
机译:由于高级计量基础架构(AMI)的激增,在分发级别收集的数据量呈指数增长。嵌入式发电源(其中许多是可再生能源)的普及率也在不断提高,也改变了配电系统的动态。我们如何利用大量可用数据更好地了解配电网络的动态变化以提高电网可靠性?本文介绍了使用OpenDSS中的时间序列仿真将智能电表数据纳入负载模型中以进行潮流研究的不同方法。本文还使用OpenDSS中的仿真研究了光伏分布式发电机对配电电压稳定性的影响。

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