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文章基本信息

  • 标题:The Stochastic Optimization Scheduling Model for Wind Power, Thermal Power and Hydropower with Carbon Emissions Trading
  • 本地全文:下载
  • 作者:Wu Hong-Liang ; Xin He ; Zhou Bao-Rong
  • 期刊名称:The Open Cybernetics & Systemics Journal
  • 电子版ISSN:1874-110X
  • 出版年度:2015
  • 卷号:9
  • 期号:1
  • 页码:1074-1082
  • DOI:10.2174/1874110X01509011074
  • 出版社:Bentham Science Publishers Ltd
  • 摘要:

    Optimize generation resource joint scheduling is of great significance for the economic operation of power system and achieving emission reduction targets. To compare the economic and environment benefits between generation resource scheduling models, which are under different scheduling objectives and constraints, considering unit contribute, generation resources, and pollution constraints, this paper established three generation scheduling optimization models that under contract power mode, ideal energy - saving generation mode and the cooperation mode of the former two. On this basis, this paper put forward the power generation resource scheduling effectiveness evaluation model, and made a simulation, using the data of wind power, hydropower, and thermal power units. The results showed generation resources under the cooperation model joint scheduling optimization model can significantly reduce the discharge of pollutants, produce the least abandoned wind and abandoned water, the overall power generation profits are of 5.5% and 1.5%, respectively, higher than the other two models, in summary, is able to obtain more comprehensive benefits.

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