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A method for robust estimation of power system

A robust estimation and power system technology, applied in computing, electrical digital data processing, design optimization/simulation, etc., can solve problems such as the increase in computational complexity and the influence of data with poor estimation accuracy, so as to avoid either superior or inferior, Self-adaptive, easy to debug and maintain

Inactive Publication Date: 2018-12-25
HOHAI UNIV
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Problems solved by technology

The estimation accuracy of traditional weighted least squares is easily affected by bad data. A practical processing method is to add a bad data detection and identification program before state estimation. Maximum regularized residual detection is the most commonly used bad data detection and identification method. However, the disadvantage of this processing method is that it involves a large number of matrix inversion calculations. Even if efficient sparse technology is used, its computational complexity will increase proportionally with the measurement scale.

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  • A method for robust estimation of power system
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  • A method for robust estimation of power system

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Embodiment Construction

[0019] Embodiments of the present invention are described in detail below, and the described embodiments are exemplary, and are only used to explain the present invention, rather than to limit the present invention.

[0020] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It should also be understood that terms such as those defined in commonly used dictionaries should be understood to have a meaning consistent with the meaning in the context of the prior art, and will not be interpreted in an idealized or overly formal sense unless defined as herein Explanation.

[0021] The technical solution of the present invention is described in further detail below in conjunction with specific examples:

[0022] The invention discloses a Fuzzy Adaptive RobustEstimation (FARE) meth...

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Abstract

A method for estimating robustness of an electric power system is a fuzzy adaptive robust estimation (FARE) method for an electric power system. Considering the uncertainty of measurement weights, continuous fuzzy membership degree is used to evaluate the quality of measurement points, and the problem that the measurement points are not good or bad is solved well. In order to minimize the sum of weighted fuzzy membership degree of the inferiority of measurement points, the primal-dual interior point method (Primal-Dual Interior Point Method (PDIPM) realizes self-adaptation to measurement grosserror. Several IEEE standard calculation examples and simulation test results of Polish system show that the method of the invention has good robustness.

Description

technical field [0001] The invention relates to a robust estimation method of a power system, which belongs to the technical field of power system dispatching. Background technique [0002] As the cornerstone of the energy management system, the state estimation of the power system estimates the real-time operating state of the power system based on the raw data of the telemetry. The estimation accuracy of traditional weighted least squares is easily affected by bad data. A practical processing method is to add a bad data detection and identification program before state estimation. The maximum regularized residual detection is the most commonly used bad data detection and identification method. However, the disadvantage of this processing method is that it involves a large number of matrix inversion calculations. Even if efficient sparse technology is used, its computational complexity will increase proportionally with the measurement scale. [0003] In contrast, the robus...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06F17/50
CPCG06Q10/0639G06Q50/06G06F30/20
Inventor 卫志农陈妤
Owner HOHAI UNIV
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