首页> 外文会议>2014 IEEE PES Tamp;D Conference and Exposition >Study of the combined impact of auto-consumption behaviour and correlation level between prosumers on overvoltage probabilities in low voltage distribution grids
【24h】

Study of the combined impact of auto-consumption behaviour and correlation level between prosumers on overvoltage probabilities in low voltage distribution grids

机译:自动消费行为和生产者之间的相关程度对低压配电网中过电压概率的综合影响研究

获取原文
获取原文并翻译 | 示例

摘要

Connections of distributed generation (DG) units based on the use of photovoltaic (PV) cells are highly increasing in low voltage distribution grids. In that way, one of the major problems met by the Distribution System Operators (DSO) comes from overvoltage in the neighbourhood of dispersed units. In previous studies, it has been shown that probabilities of overvoltage in such grids could be obtained by using a Probabilistic Load Flow based on analytical techniques or Monte Carlo methods. In this paper, given its simplicity of implementation, a pseudo-chronological Monte Carlo simulation is used and the statistical behaviour of prosumers (consumers with PV units) is directly based on smart meters measurements. Thanks to this tool and, in the context of alleviating the impact of photovoltaic generation on the recorded voltage profiles, smart meters data are employed in order to not only estimate the auto-consumption potential of prosumers connected to the grid but also to quantify the impact of the correlation level between those prosumers.
机译:在低压配电网中,基于使用光伏(PV)电池的分布式发电(DG)单元的连接正在大量增加。这样,配电系统运营商(DSO)遇到的主要问题之一就是分散单元附近的过电压。在以前的研究中,已经表明可以通过使用基于分析技术或蒙特卡洛方法的概率潮流来获得此类电网中过电压的概率。在本文中,鉴于其实现的简便性,使用了伪时序蒙特卡罗模拟,并且生产者(具有PV单位的消费者)的统计行为直接基于智能电表的测量。借助此工具,在减轻光伏发电对记录的电压曲线的影响的情况下,采用了智能电表数据,不仅可以估算连接到电网的生产者的自动消费潜力,还可以量化影响这些生产者之间的相关程度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号