在中压电力系统研究中,将智能电表数据纳入负荷和光伏模型的方法研究

Sophia Abena Tijani, K. Butler-Purry
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引用次数: 3

摘要

由于高级计量基础设施(AMI)的普及,在配电层收集的数据量呈指数级增长。嵌入式发电源(其中许多是可再生能源)的日益普及也正在改变配电系统的动态。我们如何利用大量可用的数据来更好地了解配电网络的动态变化,从而提高电网的可靠性?本文介绍了在OpenDSS中使用时间序列模拟将智能电表数据纳入潮流研究负载模型的不同方法。本文还利用OpenDSS仿真研究了光伏分布式发电机对配电电压稳定性的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of Approaches for Incorporating Smart Meter Data in Load and PV Models in Medium Voltage Power System Studies
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.
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