A power quality evaluation method and tester based on gain prediction modeling

Abstract

The invention relates to an electric energy quality assessment method based on gain prediction modeling. The electric energy quality assessment method based on gain prediction modeling includes the steps: performing classified statistics on the loads in the region, obtaining the gain data that each load influences the electric energy quality, combining with a practically measured electric energy quality curve a that the current operating situation is accumulated before capacity increasing, forming a corrected electric energy quality curve b; according to the corrected electric energy quality curve b, performing modeling on the capacity increasing system to obtain a prediction electric energy quality curve c after capacity increasing, and taking the prediction electric energy quality curve c as the assessment basis; after the capacity increasing project is completed, performing practical measurement on the field, and obtaining the current practically measured electric energy quality curve d; and overlaying the differential mode values of the electric energy quality curve d and the electric energy quality curve to the electric energy quality curve b to form an electric energy quality curve e, comparing the electric energy quality curve e with the national standard limiting value to determine whether the possibility of exceeding standard exists. Besides, the invention also provides a corresponding tester. The electric energy quality assessment method and tester based on gain prediction modeling can relatively truly reflect the electric energy quality data in the adverse situation after the capacity increasing equipment is put into production, and can obtain the gain data of the capacity increasing equipment at the same time.

Description

technical field [0001] The invention belongs to the field of power system power quality detection, in particular to a power quality evaluation method and a tester based on gain prediction modeling. Background technique [0002] With the development of power electronics technology, non-linear power electronic equipment has been widely used in power systems. At the same time, a large number of DC transmission, speed-adjustable motors, and reactive power compensators have been put into operation. The operation of these equipment is the voltage and current waveforms in the power grid. Distortion is getting worse. In addition, impact loads and fluctuating loads, such as electric arc furnaces and electric locomotives, will not only generate a large number of high-order harmonics during operation, but also generate power quality problems such as voltage fluctuations, flicker, and three-phase unbalance. At the same time, with the continuous popularization of various complex and sop...

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Problems solved by technology

[0004] 1. Measure the current power quality data for no less than 24 hours before starting construction. As a background parameter, the problem is that the time window for collecting data is relatively short, and it is unreasonable to use 24 hours to measure a year or longer;

[0005] 2. There will be a certain degree of difference between the model data of the capacity expansion equipment and the actual data;

[0006] 3. The final test judgment is based on whether the current measured value is lower than the national standard. Based on the analysis of question 1, there is a certain deviation between the measured power quality data and the real data. At the same time, the measured value cannot provide reference data for subsequent capacity expansion.

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