Recursive state estimation fused anomaly detection method for dynamic electric power system
A power system and anomaly detection technology, applied in the measurement of electricity, measuring devices, measuring electrical variables, etc., can solve the problems that the initial abnormality cannot be effectively detected, constant, and cannot be effectively distinguished from dynamic power systems, and achieves clear and rigorous mathematics. Physical meaning, effects that improve validity and rationality
Active Publication Date: 2019-08-16
QINGDAO UNIV
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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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[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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The invention belongs to the technical field of situation awareness for a dynamic electric power system, and discloses a recursive state estimation fused anomaly detection method for the dynamic electric power system. The method comprises the following steps: firstly establishing a simplified non-linear recursive model of system node voltage according to the dynamic characteristic of the electricpower system, and reasonably representing the influence of the dynamic change of electric power system load on system node voltage; then realizing system node voltage dynamic estimation based on the non-linear recursive model based on a recursive state estimation filtering algorithm, and on this basis, further constructing a residual error random matrix of system node voltage; finally constructinga system residual error dynamic performance index based on characteristic spectrum mean value-square deviation statistical analysis so as to effectively reflect the influence of electric power systemanomaly on the residual error matrix eigenvalue distribution of system node voltage, and then judging according to a self-adaptive statistical threshold value to finally realize effective state estimation and anomaly detection of the dynamic electric power system.
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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IPC IPC(8): G01R31/00
CPCG01R31/00
Inventor 彭飞李立伟王凯张明
Owner QINGDAO UNIV
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