...
首页> 外文期刊>International journal of electrical power and energy systems >Decision trees aided scheduling for firm power capacity provision by virtual power plants
【24h】

Decision trees aided scheduling for firm power capacity provision by virtual power plants

机译:决策树有助于调度,以通过虚拟电厂提供稳定的电力容量

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The incorporation of Distributed Generation (DG) under the Virtual Power Plant (VPP) concept allows the market integration of several and largely dispersed electric power sources. One matter of concern for the VPP owner and operator is to follow the hourly schedule regardless of the stochastic nature of some of its sources or any unpredicted generation outages. This study presents a Decision Tree (DT) based methodology that prepares for the dispatching of power equivalent to the possible loss of the highest injection of one of the sources of the VPP (according to day-ahead hourly schedule) to the rest of its sources, on an hour-ahead horizon. This allows VPP operators to provide firm capacity and participate effectively in the energy market.
机译:虚拟电厂(VPP)概念下的分布式发电(DG)的合并允许市场上整合多个且分散程度很大的电源。 VPP所有者和运营商关注的一个问题是,遵循小时计划,而不管其某些来源的随机性质或任何未预期的发电中断。这项研究提出了一种基于决策树(DT)的方法,该方法为将功率分配的一个准备工作等效于VPP的一个源(按照日前小时时间表)向其其余源的最大注入损失。 ,在一个小时前的地平线上。这使VPP运营商能够提供坚定的能力并有效地参与能源市场。

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