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Filtering estimation and prediction estimation method for multi-state variables of power system

A technology of power system and state variables, which is applied in power generation forecasting in AC network, load forecasting and forecasting in AC network, etc., can solve problems such as poor estimation and forecasting effect.

Inactive Publication Date: 2020-09-01
河南伯特利知识产权服务有限公司
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Problems solved by technology

[0006] The present invention aims at the problem that the estimation and prediction effects in the non-stationary process are relatively poor in the micro-grid system composed of distributed photovoltaic power generation and multiple loads in the prior art, and provides a filter estimation and prediction method for multi-state variables of the power system. predictive estimation method

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  • Filtering estimation and prediction estimation method for multi-state variables of power system
  • Filtering estimation and prediction estimation method for multi-state variables of power system
  • Filtering estimation and prediction estimation method for multi-state variables of power system

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[0102] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

[0103] A filter estimation and prediction estimation method for power system multi-state variables of the present invention comprises the following steps:

[0104] In this embodiment, the temperature change prediction is used as the input of the method of the present invention, and the selected data comes from the historical data released by the meteorological station of Tsinghua University in June 2017 (source website: https: / / climate.dest.com.cn / ), where the state transition matrix A(k+1, k) is shown in Table 1, the initial state X(0)=20.3, the initial estimation error covariance p(0)=1, and the modeling error w(k) obeys The normal distribution with a mean of 0 an...

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Abstract

The invention belongs to the technical field of filtering estimation and prediction estimation of state variables, and discloses a filtering estimation and prediction estimation method for multiple state variables of a power system. The method comprises the following steps: 1, establishing a time point estimation method based on a Kalman filter; 2, establishing a vector block state estimation method based on a Kalman filter; and 3, establishing Kalman filtering-based block state real-time smooth estimation, filtering estimation and prediction estimation.The model established by the method is more reasonable, accords with the actual situation, has higher actual use value, and effectively improves the working stability of the distributed power grid; and the target of minimizing the predictedestimation error is achieved.

Description

technical field [0001] The invention relates to the technical field of filter estimation and forecast estimation of state variables, in particular to a filter estimation and forecast estimation method for multiple state variables of a power system. Background technique [0002] Energy is an indispensable factor for human survival and development. However, with the global population growth and rapid economic development, human beings are experiencing unprecedented energy crisis and environmental crisis. Since traditional energy can no longer meet the urgent needs of human society and economic development, solar photovoltaic power generation, as a clean and renewable new energy source with huge energy, has gradually gained people's favor after wind power. The reason is that it is inexhaustible, inexhaustible, safe and pollution-free, and not restricted by the geographical distribution of resources. The sun shines on the earth, and solar energy is available everywhere. Solar ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/28H02J3/38G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06H02J3/28H02J3/381H02J3/003H02J3/004H02J2203/20H02J2300/24Y02E10/56
Inventor 李晓张竹青张玉华孟华田彦彦
Owner 河南伯特利知识产权服务有限公司
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