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Reactive daily curve bad data recognition and correction method

A technology of bad data and curve data, applied in AC network circuits, electrical components, load forecasting in AC networks, etc., can solve problems such as difficulty in meeting day-ahead power generation plans, DC near-area fluctuation reactive power throughput, and no data correction methods, etc. , achieve significant economic and social benefits, achieve precise control, and achieve high prediction accuracy

Active Publication Date: 2017-05-17
NORTHWEST BRANCH OF STATE GRID POWER GRID CO +1
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  • Claims
  • Application Information

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Problems solved by technology

However, this method only identifies reactive power bad data, and there is no data correction method, so it is difficult to meet the day-ahead power generation plan of AC power flow closed-loop safety check
[0007] In addition, as a large number of high-voltage DC transmission lines are connected to the grid, the DC converter station is very sensitive to the voltage amplitude of the busbar in the near area, and the fluctuation of the DC near area requires a large amount of reactive power throughput

Method used

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  • Reactive daily curve bad data recognition and correction method
  • Reactive daily curve bad data recognition and correction method
  • Reactive daily curve bad data recognition and correction method

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Embodiment 2

[0104] In this embodiment, further, the first bad data, the second bad data and the third bad data can also be corrected to obtain the corrected corrected data, such as Figure 4 As shown, the correction method includes:

[0105] S1. Get the z corresponding to the bad data i , the z iPerform a linear transformation x' for the dataset to be processed i =ax i After +b, the deviation value obtained by linear fitting with the standard unitized reference data set.

[0106] S2. Obtain the correction data of the bad data.

[0107] Correct the z corresponding to bad data i , so that z i Equal to the z corresponding to the two nearest correct data i average value. For each bad data, find the nearest two correct data to its two ends, and compare the z corresponding to these two correct data i Perform a linear difference so that these bad data correspond to z i Equal to the result of the linear interpolation. z corrected according to the following formula i Calculate the corr...

Embodiment 3

[0120] A reactive power curve bad data identification device, such as Figure 5 shown, including:

[0121] The data set to be processed acquisition module 301 is used to obtain the data set to be processed; the data set to be processed includes reactive daily curve data;

[0122] A reference acquisition module 302, configured to acquire reference data and deviation limits;

[0123] A rough identification module 303, configured to perform rough identification on the data set to be processed according to the reference data to obtain first bad data;

[0124] A first preprocessing module 304, configured to remove the first bad data to obtain a first preprocessing data set;

[0125] A fine identification module 305, configured to perform fine identification on the first preprocessing data set according to the reference data and the deviation limit to obtain second bad data;

[0126] The second preprocessing module 306 is configured to remove the second bad data to obtain a secon...

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Abstract

The invention provides a reactive daily curve bad data recognition and correction method. The method can be applied to reactive power bad data recognition and correction of a power grid; the data can be used as important basis for formulating an operating way of an electric power system; by performing recognition and correction on reactive power historical data, the reactive power of the power grid can be predicted accurately, energy-saving dispatching working efficiency can be improved, calculation precision of day-ahead power generation can be remarkably improved, and safety and accuracy of a power generation plan can be effectively ensured; and therefore, the reactive daily curve bad data recognition and correction method is of great practical significance and high application prospect.

Description

technical field [0001] The invention relates to the technical field of power dispatching automation, in particular to a method for identifying and correcting bad data of reactive power curves. Background technique [0002] In the past half a century, computer and communication technologies characterized by digitalization have gradually been popularized and applied in power systems, which has brought about profound changes in the appearance of power system dispatching and control. In a highly automated power system, the accurate collection and transmission of electrical quantities and other data is the basis for power system relay protection and dispatching decisions. [0003] With the development of the power industry, the modern power system has developed from the initial development around the power plant to the current era of large power grids, large units, and ultra-high voltage. This new, open development stage poses new challenges to the monitoring, dispatching, opera...

Claims

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Application Information

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IPC IPC(8): H02J3/00
CPCH02J3/00H02J3/003
Inventor 汪洋赵燃王勇赖晓文张磊范越张振宇马晓伟任景张小东郭少青薛艳军
Owner NORTHWEST BRANCH OF STATE GRID POWER GRID CO
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