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A multi-period rolling optimization method for power system dynamic state estimation

A dynamic state estimation and rolling optimization technology, applied to electrical components, circuit devices, AC network circuits, etc., can solve problems such as disobedience, uncertain distribution of measurement errors, and divergence

Active Publication Date: 2021-10-08
GUANGXI UNIV
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Problems solved by technology

However, in the actual power production, the measurement error distribution is often uncertain and does not obey this distribution, which leads to inaccurate or even divergent results of the estimation method based on the extended Kalman filter principle.

Method used

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  • A multi-period rolling optimization method for power system dynamic state estimation
  • A multi-period rolling optimization method for power system dynamic state estimation
  • A multi-period rolling optimization method for power system dynamic state estimation

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Embodiment Construction

[0037] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the technical solutions of the present invention will be described in further non-limiting detail below in conjunction with the accompanying drawings and specific embodiments.

[0038] See figure 1 , a multi-period rolling optimization method for power system dynamic state estimation, the steps are as follows:

[0039] Step 1, initialize system variable x, time weight w t , and the period length k, read the measurement data of k time periods forward, and establish a dynamic state estimation rolling optimization model based on the measurement data of k periods. Since this model is modeled from the perspective of multi-period optimization, error distribution information is not required.

[0040] See figure 2 , the period length k can be adjusted dynamically, and its size is used to coordinate the calculation speed and estimation accuracy. In this model, t...

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Abstract

The invention discloses a multi-period rolling optimization method for dynamic state estimation of a power system. The method establishes a dynamic state estimation rolling optimization model based on multi-period measurement data; the model includes system k time measurement data, and the current time measurement data is uploaded Finally, the measurement data at the earliest time in the model is replaced, and then the calculation weight is calculated, and then the estimation calculation is performed to obtain the estimation result. The model is continuously updated with the sampling time update, and the multi-period rolling optimization of the dynamic state estimation of the power system is realized. The method takes the minimum residual-norm as the objective function, does not require system prior distribution information, and the length of the optimization period k can be dynamically adjusted according to actual needs, and the estimated results can provide data support for applications such as power system on-line and off-line stability analysis .

Description

technical field [0001] Embodiments of the present invention belong to the field of power grid optimization, and in particular, relate to a multi-period rolling optimization method for power system dynamic state estimation. Background technique [0002] Static state estimation of power system is one of the core functions of EMS, and it has been generally valued by academia and power industry. However, with the wide application of PMU, dynamic state estimation of power system has gradually attracted attention. At present, the dynamic state estimation of the power system is mainly based on various recursive estimation algorithms based on the extended Kalman filter principle, and its characteristic is that the error must be assumed to satisfy the Gaussian distribution. However, in the actual power production, the distribution of measurement errors is often uncertain and does not obey this distribution, which leads to inaccurate and even divergent results of the estimation method...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J2203/20
Inventor 刘辉魏小伟阳育德汪旎韦化
Owner GUANGXI UNIV
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