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Power System Stability Detection System and Method Based on Sparse Polynomial Chaotic Expansion

A power system, polynomial technology, applied in the field of power system probability small interference stability detection system, to achieve the effect of high calculation accuracy

Active Publication Date: 2021-12-28
SHANGHAI JIAOTONG UNIV +2
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Problems solved by technology

However, the traditional method is based on a deterministic model, ignoring the output fluctuations of generating units and load fluctuations caused by renewable energy.

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  • Power System Stability Detection System and Method Based on Sparse Polynomial Chaotic Expansion
  • Power System Stability Detection System and Method Based on Sparse Polynomial Chaotic Expansion
  • Power System Stability Detection System and Method Based on Sparse Polynomial Chaotic Expansion

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Embodiment Construction

[0013] In this embodiment, the IEEE 14 standard system is used as an example, and the active power of the node load is set to obey the normal distribution, and the expected load active power and power factor are equal to the load active power and power factor under the basic working conditions. The sampling scale is set to 200, the cumulative distribution function of the wind speed measurement data is obtained by using the kernel density estimation method, and the wind speed samples are obtained by sampling. The eigenvalues ​​of the system state matrix are calculated, and the probability distribution of the eigenvalues ​​is obtained by using the sparse polynomial chaos expansion method.

[0014] Such as figure 1 As shown, this embodiment relates to a power system probabilistic small disturbance stability detection system based on sparse polynomial chaos expansion, including: sequentially connected data reading module, preprocessing module, system state matrix eigenvalue calcul...

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Abstract

A power system stability detection system and method for sparse polynomial chaotic expansion, comprising: a data reading module, a preprocessing module, a system state matrix eigenvalue calculation module, a sparse polynomial chaotic expansion module and a result output module connected in sequence; the system According to the Sobol sequence of the power grid data, samples of relevant variables are obtained and synthesized to obtain the input random variable matrix. Finally, the probability density function and cumulative distribution function of the eigenvalues ​​of the state matrix in the input random variable matrix are obtained by the sparse polynomial chaotic expansion method as the system stability detection result. . The method of the present invention has obvious advantages in calculation time, and in terms of sampling scale, the present invention only needs less sampling scale to obtain higher calculation accuracy.

Description

technical field [0001] The invention relates to a technology in the field of intelligent control of a power system, in particular to a system and method for detecting stability of power system with small probability disturbance based on sparse polynomial chaos expansion. Background technique [0002] The large-scale access of renewable energy represented by wind power and photovoltaics to the power grid has an impact on the small-disturbance stability of the power system. Compared with traditional synchronous generators, renewable energy generators have smaller damping and are prone to Small-disturbance stability issues; at the same time, renewable energy is subject to uncertainty due to natural conditions, resulting in uncertainty in the output of generating units using renewable energy, and the deterministic small-disturbance stability analysis method for power systems is no longer applicable. Therefore, it is necessary to study in depth the problem of low-probability dist...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/00G06F30/36
CPCG01R31/00
Inventor 严正陈嘉梁徐潇源唐俊刺李铁苏安龙陈晓东姜枫李典阳曾辉孙文涛张宇时许小鹏李学斌冯占稳
Owner SHANGHAI JIAOTONG UNIV
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