首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >A New Approach to Estimate from Monitored Demand Data the Limit of the Coverage of Electricity Demand through Photovoltaics in Large Electricity Grids
【2h】

A New Approach to Estimate from Monitored Demand Data the Limit of the Coverage of Electricity Demand through Photovoltaics in Large Electricity Grids

机译:从监测需求数据估计的新方法通过大电网中的光伏电网覆盖电力需求的限制

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

In a traditional large electricity grid without storage, there is a limit to the maximum photovoltaic energy that can be consumed as the demand and generation may not match, either in magnitude or in time. This paper aims to provide a new method to estimate the limit of the coverage of electricity demand by photovoltaics in large electricity grids. This new method eliminates the random and the periodic variability over time as it is based either on the load duration curve for demand and the output duration curve for PV generation. We will assume there is no energy storage or inter-network exchanges. Moreover, conditions for the best scenario for photovoltaics are provided in order to estimate the upper limit: photovoltaic overgeneration is not considered and a complete system flexibility is assumed. The knowledge of this limit will manage to provide not only a reference for the planning of the energy sector but also to analyze the viability of the integration of future photovoltaic projects in the electrical system. In order to illustrate the method, several large electricity grids have been analysed in order to determine the aforementioned limit. Values between 19.3% and 29.9% have been obtained.
机译:在没有存储的传统大电网中,由于需求和产生可能不匹配,有一个限制,可能与幅度或时间不匹配。本文旨在提供一种新的方法来估算大电网中光伏电网的电力需求覆盖范围。这种新方法随机消除了随机的随机和周期性变化,因为它基于负载持续时间曲线,以及PV生成的输出持续时间曲线。我们将假设没有能量存储或网络间交换。此外,提供了用于光伏光伏的最佳场景的条件,以估计上限:不考虑光伏过度,并且假设完整的系统灵活性。该限制的知识不仅可以为能源部门规划提供参考,还可以提供能源部门的规划,而且还提供了分析电气系统中未来光伏项目集成的可行性。为了说明该方法,已经分析了几个大电网以确定上述限制。已获得19.3%和29.9%之间的价值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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