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Flexible Operation Planning Scheme Considering Wind Power Generation Forecasting Uncertainties

机译:考虑风力发电预测不确定性的灵活运营计划方案

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摘要

Power system daily operational planning has become a difficult task with increasing wind penetrations into power system due to the variable and uncontrollable natures of wind resources. Although remarkable progress has been made in the development of wind power technology, wind speed prediction error still exists. In order to mitigate the negative effects caused by forecasting errors, several candidate daily operational plans should be scheduled ahead of time, with different wind power output scenarios taken into consideration. The key issue of this research work is to develop flexible operation framework that has the least cost adaption cost on the basis of receding horizon optimization. The selected operation plan may not be the cheapest one for one-time interval, but it takes the lowest cost considering the change process with most updated wind power information. Detailed case studies are performed to verify the feasibility of the proposed flexible operational planning framework.
机译:由于风资源的可变性和不可控制性,随着风向电力系统的渗透不断增加,电力系统的日常运行计划已成为一项艰巨的任务。尽管风电技术的发展已经取得了显着进展,但风速预测误差仍然存在。为了减轻预测误差带来的负面影响,应提前计划几个候选的日常运行计划,并考虑不同的风能输出情景。这项研究工作的关键问题是在后退优化的基础上,开发成本适应成本最低的灵活运营框架。选定的运行计划可能不是一次间隔最便宜的运行计划,但是考虑到具有最新风电信息的变更过程,它的成本最低。进行了详细的案例研究,以验证所提议的灵活运营计划框架的可行性。

著录项

  • 来源
    《Electric Power Components and Systems》 |2017年第5期|465-475|共11页
  • 作者单位

    Hunan Provincial Engineering Research Center of Electric Transportation and Smart Distributed Network, Hunan Provincial Key Laboratory of Smart Grids Operation and Control, School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China,School of Electrical and Information Engineering, The University of Sydney, Australia;

    Electric Power Research Institute, China Southern Power Grid Company, Guangzhou, China;

    Hunan Provincial Engineering Research Center of Electric Transportation and Smart Distributed Network, Hunan Provincial Key Laboratory of Smart Grids Operation and Control, School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China,School of Electrical and Information Engineering, The University of Sydney, Australia;

    School of Electrical and Information Engineering, The University of Sydney, Australia,Electric Power Research Institute, China Southern Power Grid Company, Guangzhou, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    flexible operational planning; intermittent wind power generation; receding horizon; unit commitment;

    机译:灵活的运营计划;间歇性风力发电;后退的地平线单位承诺;

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