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Method and system of observing power grid information based on Kalman filtering algorithm

A filtering algorithm, a technology for power grid systems, applied in information technology support systems, system integration technology, digital adaptive filters, etc., can solve problems such as grid voltage collapse, the difficulty of distributed generation to meet sufficiency requirements, and power outages.

Active Publication Date: 2017-10-20
STATE GRID JIANGXI ELECTRIC POWER CO LTD RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology allows for faster and better monitoring of electrical systems without collecting any data about their operating condition. Its technical benefits include improved accuracy and sensibility when detecting different types of disturbances like noise, overvoltages/under voltages, short circuits, ground current interference, and even temporary surges caused by welds on steel pipes.

Problems solved by technology

Technological technical problem addressed in this patented text relates to improving the control behavior of an electricity generator (EGS) during integration with other generators or distribution networks without causing instabilities over time caused by changes made upstream from its own design features like current balance between different phases. Current methods involve slow down testing and manual adjustments based upon predetermined criteria.

Method used

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  • Method and system of observing power grid information based on Kalman filtering algorithm
  • Method and system of observing power grid information based on Kalman filtering algorithm
  • Method and system of observing power grid information based on Kalman filtering algorithm

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Embodiment Construction

[0050] The technical solution of the present invention will be described in detail below with regard to specific implementation methods.

[0051] In this embodiment, a power grid information observation method based on a Kalman filtering algorithm comprises the following steps:

[0052] 1) Establish the system state space equation:

[0053]

[0054] The above equations express the system state space equation and measurement equation respectively, A is the system transition matrix, C is the measurement matrix, ω, v are the system noise and measurement noise respectively.

[0055] First, a state space model is established according to the system, assuming that the grid voltage waveform at k sampling time is:

[0056]

[0057] then q 1 The quadrature signal of (k) is:

[0058]

[0059] where T s Indicates the sampling period, A n1 、A n2 Indicates the magnitude, ω(k) and θ n Respectively represent the fundamental angular frequency and initial phase angle, n represe...

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Abstract

A method of observing power grid information based on a Kalman filtering algorithm includes: (1) establishing a state space model of a power grid system; (2) assigning initial values of state variables in the Kalman filtering algorithm; (3) performing a power grid synchronization information prediction link in the Kalman filtering algorithm; (4) performing a power grid synchronization information correction link in the Kalman filtering algorithm; and (5) using a Kalman filter to output the orthogonal quantity of the fundamental wave and each harmonic wave of a power grid voltage and using the orthogonal quantity as an input quantity of a three-phase frequency-locked loop after comparing the orthogonal quantity with an input signal; using the three-phase frequency-locked loop to lock the fundamental wave frequency by means of an input error item and output the fundamental wave frequency and feed back to the Kalman filter, and then returning to carry out information observation of the next moment. A system of observing power grid information comprises a sampling module, an MCU, a Kalman filter and a frequency-locked loop. Through collection of power grid information, sampled information is input into the MCU, the Kalman filtering algorithm and the frequency-locked loop algorithm are achieved through programming in the MCU, the output of the frequency-locked loop is the real-time value of frequency, the output of the Kalman filter is each harmonic wave information, and the outputs are displayed by a DA module.

Description

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Claims

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Application Information

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Owner STATE GRID JIANGXI ELECTRIC POWER CO LTD RES INST
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