Impact of Uncertainty Quantification on Small Signal Stability of Power System

Suravi Thakur, N. Senroy
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Abstract

The statistical uncertainty quantification of the injected uncertainties into a power system has been done to study the response of the power system to such injected randomness. The dominant electromechanical modes have been analysed and the frequency spectrum of the trajectories obtained for various state variables has been used to measure the impact of injected randomness on the system. The idea of Statistical Distance between the point of input perturbations and output measurement data has been explored. The simulation results indicate that there is a direct relationship between the input uncertainty and output measurement variable and is greatly affected by the magnitude and location of random injection. The above framework has been validated using Kundur's two area system and IEEE 14 Bus system.
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不确定性量化对电力系统小信号稳定性的影响
对电力系统中注入的不确定性进行了统计不确定性量化,以研究电力系统对这种注入的随机性的响应。分析了主要的机电模式,并利用各种状态变量的轨迹频谱来测量注入的随机性对系统的影响。探讨了输入扰动点与输出测量数据之间的统计距离的概念。仿真结果表明,输入不确定性与输出测量变量之间存在直接关系,且受随机注入的大小和位置的影响较大。上述框架已在Kundur的双区域系统和IEEE 14总线系统上进行了验证。
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来源期刊
Renewable Energy and Power Quality Journal
Renewable Energy and Power Quality Journal Energy-Energy Engineering and Power Technology
CiteScore
0.70
自引率
0.00%
发文量
147
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