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Sparse polynomial chaos expansion based power system stability detection system and method

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

Active Publication Date: 2019-11-15
SHANGHAI JIAO TONG 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.

Method used

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  • Sparse polynomial chaos expansion based power system stability detection system and method
  • Sparse polynomial chaos expansion based power system stability detection system and method
  • Sparse polynomial chaos expansion based power system stability detection system and method

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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

The invention discloses a sparse polynomial chaos expansion based power system stability detection system and method. The system comprises a data reading module, a preprocessing module, a system statematrix eigenvalue calculation module, a sparse polynomial chaos expansion module and a result output module which are connected in sequence. The system obtains samples of related variables accordingto a Sobol sequence of power grid data, combines the samples to obtain an input random variable matrix, and finally obtains a probability density function and a cumulative distribution function of state matrix eigenvalues in the input random variable matrix through a sparse polynomial chaos expansion method to serve as a system stability detection result. The method has obvious advantages in calculation time, and can obtain relatively high calculation precision by only requiring relatively small sampling scale.

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 Applications(China)
IPC IPC(8): G01R31/00G06F17/50
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 JIAO TONG UNIV
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