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Power Scheduling for a Network of Distributed Generators.

机译:分布式发电机网络的功率调度。

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摘要

Growing concerns over the economic and environmental costs of fossil fuels have spurred renewed interest in the area of renewable energy. The Atlantic Sustainable Power Research Initiative (ASPRI) aims to integrate low- and no-emission technology into Atlantic Canada's energy generation mix. This research focuses on the scheduling of distributed generators to improve their aggregate performance while maintaining a small ecological footprint. Combining renewable units with low-emission units using conventional fuels promises improved profitability and reliability over any single technology. Four Unit Commitment methods have been considered for the Energy Control Center (ECC), one of them novel. The novel solution appears to be the first to successfully solve the static Unit Commitment problem in less than exponential time with respect to the number of units - this is especially important when incorporating numerous distributed generators. The stochastic Unit Commitment problem is also considered in an effort to maximize the advantages of intermittent, renewable generators.
机译:人们对化石燃料的经济和环境成本的日益关注促使人们对可再生能源领域产生了新的兴趣。大西洋可持续电力研究计划(ASPRI)旨在将低排放和无排放技术整合到加拿大大西洋的能源生产组合中。这项研究的重点是调度分布式发电机,以提高其综合性能,同时保持较小的生态足迹。将可再生能源与使用常规燃料的低排放能源结合起来,有望获得比任何单一技术更高的盈利能力和可靠性。能源控制中心(ECC)已考虑了四种单位承诺方法,其中一种是新颖的。这种新颖的解决方案似乎是第一个在少于单位数量的指数时间内成功解决静态机组承诺问题的解决方案-当合并大量分布式发电机时,这尤其重要。为了最大程度地发挥间歇性可再生发电机的优势,还考虑了随机单位承诺问题。

著录项

  • 作者

    Dupuis, Etienne Jacques.;

  • 作者单位

    University of New Brunswick (Canada).;

  • 授予单位 University of New Brunswick (Canada).;
  • 学科 Engineering Electronics and Electrical.;Operations Research.;Energy.
  • 学位 M.Sc.E.
  • 年度 2008
  • 页码 100 p.
  • 总页数 100
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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