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Power self-adaptive algorithm based on improved Prony

An adaptive algorithm and power technology, applied in the direction of electric power measurement and complex mathematical operations through current/voltage

Inactive Publication Date: 2021-01-26
LIUAN POWER SUPPLY COMPANY STATE GRID ANHUI ELECTRIC POWER +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the existing domestic and foreign electric energy metering algorithms, whether for fundamental wave electric energy metering or harmonic electric energy metering, all take steady-state signals as the research object for algorithm research; for the non-stationary time-varying output of distributed energy grid There are a lot of gaps in the power flow analysis of signals and the reasonable measurement of electric energy, which urgently need to be researched and effectively solved.

Method used

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  • Power self-adaptive algorithm based on improved Prony
  • Power self-adaptive algorithm based on improved Prony
  • Power self-adaptive algorithm based on improved Prony

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0096] Embodiment 1: Signal 1 is x(t)=A 1 (t)cos(2πf 1 (t)t+45°)+A 2 (t)cos(2πf 2 (t)t+45°), the amplitudes A1 and A2 are: A 1 =|80cos(8t)|, A 2 =|150cos(15t)|; Frequency f1, f2 are respectively: f 1 =500t,f 2 = 100t. The sampling interval is 0.001s, the sampling length N=300, and the reconstruction sample length M=1000. Draw algorithmic frequency and amplitude tracking curves and error curves such as image 3 -4 shown.

Embodiment 2

[0097] Embodiment 2: Signal 2 is x(t)=A 1 (t)cos(2πf 1 (t)t+45°)+A 2 (t)cos(2πf 2 (t)t+45°), the amplitudes A1 and A2 are: A 1 =550-500t, A 1 =850-800t; Frequency f1, f2 are respectively: f 1 =500t,f 2 = 100t. The sampling interval is 0.001s, the sampling length N=300, and the reconstruction sample length M=1000. Draw algorithmic frequency and amplitude tracking curves and error curves such as Figure 5 -6 shown.

[0098] In the field of power system control, power signals are mostly based on linear functions and trigonometric functions, so the frequency and amplitude of the constructed signals are transient according to the laws of trigonometric functions and linear functions, and the tracking performance of the algorithm under the MATLAB simulation platform is given .

[0099] From the power tracking curves and error curves of the two experiments, it can be seen that the algorithm realizes the power adaptive tracking of transient signals well. Comparing Experiment...

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Abstract

The invention discloses a power self-adaptive algorithm based on improved Prony, which is used for accurately metering the electric energy of a power grid under the condition that the frequency and the amplitude of a power system signal change along with time. The method comprises the following steps: synchronously sampling a voltage signal u(t) and a current signal i(t) of a power system with a sampling frequency fs and a sampling duration ts to obtain N-point discrete voltage signals u(n) and N-point discrete current signals i(n), performing data fitting on the sampled electric signals (u(n)and i(n)) in a time domain to obtain a fitting data sequence, performing data truncation according to a sampling interval, and constructing a reconstructed sample; estimating the frequency amplitudeof each reconstructed sample of the voltage and current signals after data fitting by using a Prony algorithm; and finally, calculating a power value changing along with time. Experimental results prove that the algorithm quickly and accurately realizes adaptive tracking of power grid electric energy.

Description

technical field [0001] The invention relates to the technical field of power grid electric energy metering, in particular to a power self-adaptive algorithm based on improved Prony. Background technique [0002] In the context of the smart grid, the widespread access of distributed power sources and clean energy, as well as the wide-scale use of high-efficiency power electronic equipment and nonlinear loads, lead to time-varying characteristics of grid voltage and current waveforms, which are time-unstable Transform power signal. The accurate measurement of electric energy for such signals has become a hot research direction, especially the accurate measurement of distributed energy grid-connected electric energy, which is not only related to the economic benefits of electric power investors, but also related to the interests of users. [0003] Scholars at home and abroad have made many research results on the accurate measurement of electric energy under the condition of n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R21/07G06F17/16
CPCG01R21/07G06F17/16
Inventor 陈浩陈腾渊费传鹤陈孝菊王恒杰朱兴刚江明王恒招丁倩
Owner LIUAN POWER SUPPLY COMPANY STATE GRID ANHUI ELECTRIC POWER
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