A dynamic power system anomaly detection method based on fusion of recursive state estimation

A power system and anomaly detection technology, which is applied in the direction of measuring electricity, measuring devices, and measuring electrical variables, etc., can solve the problems that the initial anomalies cannot be effectively detected, remain constant, and cannot guarantee the system node voltage, etc., and achieve clear and rigorous mathematical and physical meanings , the effect of improving effectiveness and rationality

Active Publication Date: 2021-07-09
QINGDAO UNIV
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Problems solved by technology

Therefore, its anomaly detection threshold must be set empirically, and some initial anomalies may not be effectively detected
In addition, in the long-term state monitoring of dynamic power systems, due to normal changes in power loads, especially when there are distributed renewable energy sources in the smart grid, it is usually impossible to ensure that the system node voltage is constant
Therefore, the above power system situational awareness performance indicators are inappropriate and cannot effectively distinguish between normal and abnormal operating states of dynamic power systems

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  • A dynamic power system anomaly detection method based on fusion of recursive state estimation
  • A dynamic power system anomaly detection method based on fusion of recursive state estimation
  • A dynamic power system anomaly detection method based on fusion of recursive state estimation

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[0060] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0061] Such as figure 1 As shown, a dynamic power system anomaly detection method fused with recursive state estimation includes the following steps:

[0062] I. Perform multi-node electrical equivalent to the complex power system, and then establish a simplified nonlinear recursive model of the system node voltage according to the long-term dynamic characteristics of the power system for the complex power system composed of electrical equivalent multi-nodes.

[0063] Among them, the complex power system through n-node electrical equivalent can be expressed as:

[0064] x k+1 =f(x k )+q k (1)

[0065] z k+1 =h(x k+1 )+r k+1 (2)

[0066] where x k It is a (2n-1)×1-dimensional voltage amplitude state vector, including n system node voltage amplitudes and phase angles. Since there is only one balanced node in the system, the phase angle...

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Abstract

The invention belongs to the technical field of dynamic power system situation awareness, and discloses a dynamic power system anomaly detection method fused with recursive state estimation, which includes the following steps: first, a simplified nonlinear recursive system node voltage is established according to the dynamic characteristics of the power system model to reasonably characterize the impact of power system load dynamic changes on the system node voltage; then based on the recursive state estimation filter algorithm, the system node voltage dynamic estimation based on the nonlinear recursive model is realized, and on this basis, the system node voltage residual is further constructed random matrix; finally construct the system residual dynamic performance index based on the characteristic spectrum mean-variance statistical analysis to effectively reflect the influence of dynamic power system anomalies on the distribution of eigenvalues ​​of the system node voltage residual matrix, and then judge according to the adaptive statistical threshold, and finally Enables efficient state assessment and anomaly detection for dynamic power systems.

Description

technical field [0001] The invention belongs to the technical field of dynamic power system situation awareness, and in particular relates to a dynamic power system anomaly detection method combined with recursive state estimation. Background technique [0002] As an emerging technology, dynamic power system situational awareness can effectively acquire, understand and predict the key factors that lead to changes in system conditions, and provide a basis for intelligent operation and maintenance and decision-making of complex power systems. application prospects. It can promote the integration of the grid automation system, discover the weaknesses and threats of the system in time, and significantly improve the intelligence level of the power system, so as to ensure the safe and stable operation of the power system. In addition, dynamic power system situational awareness can also be combined with effective system decision-making and support modules to improve power system r...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/00
CPCG01R31/00
Inventor 彭飞李立伟王凯张明
Owner QINGDAO UNIV
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