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A new approach for providing synchronous reserve using aggregated domestic water heaters.

机译:一种使用集中式家用热水器提供同步储备的新方法。

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摘要

Power demand is increasing with time on a global scale. This becomes a challenge to meet with conventional power generation methods alone which are mostly fossil-fuel based, because of negative impacts like global warming and increased operating costs. Recently, research has been conducted on demand side management (DSM) programs, which adjust quantities from the load-side of the power system to curtail or shift demand. In principle, controllable loads under DSM programs can become a provider of ancillary services for power systems.;In this thesis, a new algorithm based on particle swarm optimization (PSO) is developed to optimize the operation of domestic water heaters in an aggregated manner to provide the ancillary service of synchronous reserve. The new algorithm is tested on a group of one hundred DWHs, and two cases with different power ratings for the DWHs are considered. The developed method ensures a cost-effective way of providing synchronous reserve and is also environmentally friendly, therefore helping in reducing carbon-dioxide emissions.
机译:在全球范围内,电力需求随着时间增长。由于诸如全球变暖和增加的运行成本之类的负面影响,仅以矿物燃料为基础的常规发电方法就成为挑战。最近,对需求侧管理(DSM)程序进行了研究,该程序可从电力系统的负载侧调整数量以减少或转移需求。原则上,DSM程序下的可控负载可以成为电力系统辅助服务的提供者。;本文研究了一种基于粒子群优化(PSO)的新算法,以聚合方式优化家用热水器的运行,从而提供同步备用的辅助服务。在一组一百个DWH上测试了新算法,并考虑了两种DWH额定功率不同的情况。所开发的方法可确保以经济有效的方式提供同步储备,并且对环境友好,因此有助于减少二氧化碳的排放。

著录项

  • 作者

    Rosario, Praveen.;

  • 作者单位

    University of New Brunswick (Canada).;

  • 授予单位 University of New Brunswick (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.Sc.E.
  • 年度 2011
  • 页码 77 p.
  • 总页数 77
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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