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A Hybrid Measurement Fusion Method for Power System Based on Unscented Kalman Filter

An unscented Kalman, hybrid measurement technology, applied in the field of power systems, can solve problems such as low filtering accuracy

Active Publication Date: 2021-09-10
ZHEJIANG UNIV +1
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Problems solved by technology

UKF does not ignore high-order items, so it has high calculation accuracy for nonlinear distribution statistics, which effectively overcomes the defects of low filtering accuracy and poor stability of EKF

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  • A Hybrid Measurement Fusion Method for Power System Based on Unscented Kalman Filter
  • A Hybrid Measurement Fusion Method for Power System Based on Unscented Kalman Filter
  • A Hybrid Measurement Fusion Method for Power System Based on Unscented Kalman Filter

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Embodiment Construction

[0075] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0076] The invention provides a power system hybrid measurement fusion method based on unscented Kalman filter, which introduces the UKF filter method for power system hybrid measurement fusion. Since the update cycle and structure of SCADA and μPMU measurement are different, so Before the measurement fusion, it is necessary to synchronize the mixed measurements; at the same time, to improve the scale factor selection in the UT transformation process, an adaptive unscented Kalman filter (AUKF) is proposed; finally in the IEEE- The 14-node system and the IEEE-118 node system are simulated to verify the effectiveness of the AUKF algorithm.

[0077] 1. The principle of unscented Kalman filter is as follows:

[0078] Consider the following discrete nonlinear system:

[0079] x k+1 =f(x k )+w k (1)

[0080] z k+1 =h(x k+1 )+v k+1...

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Abstract

The invention discloses a hybrid measurement fusion method of power system based on unscented Kalman filter. Aiming at the current situation that μPMU measurement and SCADA measurement coexist for a long time but are difficult to use at the same time, an unscented Kalman filter algorithm is introduced to realize hybrid measurement. fusion. Analyze the differences between the two measurement sampling frequencies and measurement types, and realize the synchronization of mixed measurements. An adaptive unscented Kalman filter AUKF is proposed, which solves the problems of traditional UKF, such as large amount of calculation and non-local effect of sampling, by adopting the proportional correction minimum skewness simplex sampling strategy, and realizes the self-adaptive Choose a scaling factor to improve filtering accuracy. The method of the invention can realize mixed measurement fusion, and the fused data has higher precision.

Description

technical field [0001] The invention belongs to the field of electric power systems, in particular to an unscented Kalman filter-based hybrid measurement fusion method for electric power systems. Background technique [0002] At present, the GPS-based micro Phasor Measurement Unit (micro Phasor Measurement Unit, μPMU) is gradually applied to the distribution network, but in the short term, the μPMU cannot replace the Supervisory Control And Data Acquisition (SCADA) Observation requirements, so the hybrid measurement composed of μPMU and SCADA is an effective means to improve state estimation and other advanced applications with a single SCADA measurement. Since μPMU and SCADA systems use different methods for their technical support, there are many differences in the two measurement data. If they are mixed without any processing, a series of compatibility problems will inevitably occur. Not only can the measurement of μPMU not be used to improve the data quality, but will d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06F17/18G06Q50/06
Inventor 王康元谢伟徐德伟凌平方陈谢邦鹏
Owner ZHEJIANG UNIV
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