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Multi-objective optimization under uncertainty for electrical energy systems with renewable energy sources, load participation, and plug-in hybrid electric vehicles

Multi-objective optimization under uncertainty for electrical energy systems with renewable energy sources, load participation, and plug-in hybrid electric vehicles
可再生能源、负荷参与和插电式混合动力汽车电能系统不确定性下的多目标优化
批准号：
249711-2010
负责人：
Rosehart, William
金额：
$3.13万
依托单位：
University of Calgary
依托单位国家：
加拿大
项目类别：
Discovery Grants Program - Individual
财政年份：
2013
资助国家：
加拿大
项目状态：
已结题
起止时间：
2013-01-01 至 2014-12-31
来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=524767
关键词：
Multiobjectiveoptimizationunderuncertainty

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中文摘要
翻译
电能系统在其运行和规划方面正处于一场重大革命的边缘。 人们对增加风能和太阳能发电等可再生能源或“清洁”能源的整合产生了极大的兴趣，预计它们将成为未来电力系统的重要组成部分。 电力系统运营商和规划者必须解决许多新的挑战时，面临着大规模集成的风力和太阳能发电在电网中，因为其功率输出和地理位置的限制，他们可以在那里相关的变化。 这些挑战如果得不到妥善处理，可能导致经济和稳定问题。
英文摘要
Electrical Energy Systems are on the edge of a significant revolution in their operation and planning. Great interest is being directed towards increased integration of renewable or "clean" energy sources such as wind- and solar-based generation, and they are expected to be a substantial component of future electrical power systems. Power system operators and planners must address many new challenges when faced with large integration of wind- and solar-powered generation in electrical grids because of the variability associated with their power output and geographical limitations where they can be located. The challenges can lead to economic and stability problems if not properly addressed.
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Integrated Energy System Analysis and Planning
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    RGPIN-2016-04552
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  • 资助金额：
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    2021
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  • 依托单位：
    University of Calgary
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    University of Calgary
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  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
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  • 财政年份：
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  • 依托单位：
    University of Calgary
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