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Interpolation H infinite expanded Kalman filtering generator dynamic state estimation method

A technology for extending Kalman and generator dynamics, applied in the fields of analysis and control, and power system monitoring, it can solve the problems of poor robustness and low filtering accuracy of highly nonlinear systems, achieve excellent robust performance, reduce negative effects, and improve The effect of robust performance

Active Publication Date: 2017-12-01
HOHAI UNIV
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Problems solved by technology

[0005] Purpose of the invention: the technical problem to be solved by the present invention is to propose an interpolation H ∞ Extended Kalman filter generator dynamic state estimation method

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  • Interpolation H infinite expanded Kalman filtering generator dynamic state estimation method
  • Interpolation H infinite expanded Kalman filtering generator dynamic state estimation method
  • Interpolation H infinite expanded Kalman filtering generator dynamic state estimation method

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Embodiment Construction

[0030] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0031] 1. Multi-step adaptive interpolation extended Kalman filter

[0032] In the extended Kalman filter, by using the first-order Taylor expansion to approximate the nonlinear function, in a highly nonlinear system, the linearization error caused by ignoring the high-order terms will cause the extended Kalman filter to misestimate. In order to overcome this shortcoming, the present invention adopts multi-step self-adaptive interpolation method: at first calculate the non-linear index n of state ...

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Abstract

The invention discloses an interpolation H infinite expanded Kalman filtering (IHEKF) generator dynamic state estimation method comprising an adaptive interpolation part and a multi-step prediction and correction part; the method comprises the following steps: firstly, calculating state equation and measurement equation non-linear indexes before the multi-step prediction and correction part, using a limit state machine to determine an interpolation factor, and using an interpolation method to add a pseudo measurement value between two real measurement values according to the interpolation factor; carrying out multi-step prediction and correction according to the added pseudo measurement value, using an expanded Kalman filtering prediction step to obtain a state predicted value and a state prediction error covariance, further introducing H infinite into the expanded Kalman filtering correction step so as to correct the predicted value, thus obtaining a generator power angle, an electric angle speed estimation value and an estimation error covariance in a dynamo-electric transient process. According to example analysis results, the generator dynamic state estimation method can be accurately applied to the generator dynamic state estimation, and has excellent robustness.

Description

technical field [0001] The present invention relates to an interpolation H ∞ The invention relates to an extended Kalman filter generator dynamic state estimation method, which belongs to the technical field of power system monitoring, analysis and control. Background technique [0002] Power system dynamic state estimation is very important for monitoring and controlling power system stability. Dynamic state estimation provides generator, load and controller predictions to design power system stabilizers and regulators to maintain and improve transient stability. With the development of phasor measurement unit (PMU), it is possible to accurately track the electromechanical transient state of power system. Dynamic state estimation can use the data measured by PMU to filter and predict the possible future changes of the system, so as to formulate corresponding control strategies to maintain the safe and stable operation of the power grid. [0003] As an effective method fo...

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Application Information

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IPC IPC(8): H02J3/38G01R31/34
CPCG01R31/343H02J3/38
Inventor 孙永辉艾蔓桐王义张博文王加强
Owner HOHAI UNIV
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