Incorporating Stochastic Dynamics into Real-time Simulation of Power Systems
Incorporating Stochastic Dynamics into Real-time Simulation of Power Systems
批准号:
516213-2017
负责人:
Wang, Xiaozhe
金额:
$1.81万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31
中文摘要
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英文摘要
As the integration of renewable energy sources continues increasing, it is imperative to incorporate theirintrinsic stochastic dynamics in power system modelling to achieve realistic and accurate security analysisresults such as state estimations, stability assessments, etc. OPAL-RT TECHNOLOGIES is a world leader inpower system and electronics real-time simulation offering comprehensive models from synchronousgenerators, excitation systems, to transmission lines, capacitor banks, loads, etc. However, the current modelsof the company have not incorporated the stochastic characteristics of the renewable generators. The proposedproject aims to incorporate the intrinsic uncertainties of power system components into the real-time simulatorof the company. The outcomes of the project will add more realistic and accurate models of wind turbines,photovoltaic and loads to the existing library leading to more accurate security analysis for modern powergrids.
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项目类别:Engage Grants Program
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资助金额:$1.82万
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财政年份:2018
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负责人:Wang, Xiaozhe
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依托单位:
Impacts of Renewable Energy on Transient and Voltage Stability of Electric Power Systems
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批准号:RGPIN-2016-04570
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.26万
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财政年份:2018
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负责人:Wang, Xiaozhe
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依托单位:
Impacts of Renewable Energy on Transient and Voltage Stability of Electric Power Systems
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批准号:RGPIN-2016-04570
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.26万
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财政年份:2017
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负责人:Wang, Xiaozhe
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依托单位:
Impacts of Renewable Energy on Transient and Voltage Stability of Electric Power Systems
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批准号:RGPIN-2016-04570
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.26万
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财政年份:2016
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负责人:Wang, Xiaozhe
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依托单位:
国内基金
海外基金
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批准号:--
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位:
基于梯度增强Stochastic Co-Kriging的CFD非嵌入式不确定性量化方法研究
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批准号:11902320
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项目类别:青年科学基金项目
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资助金额:24.0万元
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批准年份:2019
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负责人:王波
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依托单位: