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Power grid node voltage dip risk evaluation method

A node voltage and risk assessment technology, which is applied to electrical components, circuit devices, AC network circuits, etc., can solve the problems of insufficient raw data and large manpower and material resources

Inactive Publication Date: 2016-10-26
SOUTHEAST UNIV
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0003] The traditional statistical method of actual measurement consumes a lot of manpower and material resources and is likely to cause insufficient original data

Method used

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  • Power grid node voltage dip risk evaluation method
  • Power grid node voltage dip risk evaluation method
  • Power grid node voltage dip risk evaluation method

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Embodiment Construction

[0048] The present invention will be further described below in conjunction with examples of implementation.

[0049] Such as figure 1 As shown, the grid node voltage sag risk assessment method in the present invention first combines network parameters to generate a fault list containing a large number of random faults, and reads it into the short-circuit fault calculation program to calculate the short-circuit fault and output the short-circuit faults of each node after the occurrence of each short-circuit fault. Statistics on the voltage drop situation; statistics of the probability of different voltage drop ranges at each node, probability statistics for the different voltage drop ranges of a single node, and drawing histograms and broken line graphs; according to the probability of voltage sags occurring at all nodes in the power grid Sort and output statistical results.

[0050] (1) IEEE-14 node network

[0051] The IEEE-14 node network is used to randomly generate 10,0...

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Abstract

The invention discloses a power grid node voltage dip risk evaluation method. Short circuit faults possibly occurring in a power grid are simulated based on a computer model, influences caused by the short circuit faults to the power grid are simulated, through simulating various types of randomly occurring short circuit faults at various positions and obtaining a voltage dip statistical condition of a regional power grid in case of numerous random faults, each node in the regional power grid is evaluated, and the condition of each node generating a short-circuit voltage dip risk is analyzed. Compared to a conventional actual measurement statistical method, the method, based on a random pre-estimation method, can effectively prevent consumption of enormous manpower and material resources by use of the actual measurement statistical method, avoids the problem of insufficiency of original data, facilitates analysis of the voltage dip risk of each node of the power grid, and has an important value in improving electric energy quality of the power grid and preventing a voltage dip problem.

Description

technical field [0001] The invention relates to the field of power system operation simulation evaluation, in particular to a method for simulating a random short-circuit fault of a power grid by using a Monte Carlo method in a random estimation method, and thereby evaluating the risk of a voltage sag at a node of the power grid. Background technique [0002] In recent years, scientific and technological progress has promoted the innovation of industrial equipment, and a large number of frequency conversion speed control equipment, automatic production lines and other equipment have been used in social production. Modern loads are very sensitive to power quality. Once a voltage sag occurs, its function will fail, resulting in a decline in product quality and causing major economic losses to the enterprise. There are many reasons for the occurrence of voltage sags. Short-circuit faults, starting of induction motors, and operation of knife switches will all cause voltage sags....

Claims

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Application Information

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IPC IPC(8): H02J3/00G06F17/50G06Q10/06G06Q50/06
CPCG06F30/367G06Q10/0635G06Q50/06H02J3/00H02J2203/20Y02E60/00
Inventor 李扬吴奇珂陈昕儒
Owner SOUTHEAST UNIV
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