Power system hybrid measurement fusion method based on unscented Kalman filtering

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

Active Publication Date: 2019-05-14
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

Method used

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  • Power system hybrid measurement fusion method based on unscented Kalman filtering
  • Power system hybrid measurement fusion method based on unscented Kalman filtering
  • Power system hybrid measurement fusion method based on unscented Kalman filtering

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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 power system hybrid measurement fusion method based on unscented Kalman filtering, and aims at the current situation that PMU measurement and SCADA measurement coexist for along time but are difficult to use at the same time at present, and an unscented Kalman filtering algorithm is introduced to realize the fusion of hybrid measurement. The difference between the two measurement sampling frequencies and measurement types is analyzed to realize the synchronization of mixed measurement. According to the adaptive unscented Kalman filter AUKF, the problems that a traditional UKF is large in calculated amount and prone to generating the non-local effect of sampling are solved by adopting a proportional correction minimum-bias single-shape sampling strategy, and the filtering precision is improved by achieving adaptive selection of a proportional factor. According to the method, mixed measurement fusion can be achieved, and the fused data has high precision.

Description

technical field [0001] The invention belongs to the field of power systems, and in particular relates to a hybrid measurement fusion method for power systems based on an unscented Kalman filter. 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 the 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 μPMU measurement be used to improve the data quality, but will degra...

Claims

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Application Information

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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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