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On-line decision support method for responding to power quality early warning

A power quality and decision support technology, applied in data processing applications, instruments, computing, etc., can solve problems such as inability to support online decision support, expansion of faults, and unresolved power quality faults in time, so as to avoid further deterioration of power quality, The effect of improving safety and reliability and improving accuracy

Inactive Publication Date: 2014-04-16
SOUTHEAST UNIV
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Problems solved by technology

However, the existing research on early warning mainly focuses on the mining and analysis of abnormal monitoring data. It lacks the analysis and processing of abnormal disturbance causes and diagnosis results, and cannot make online decision support for abnormal conditions, resulting in power quality failures. If it is not resolved in time, it may cause further expansion of the fault

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  • On-line decision support method for responding to power quality early warning
  • On-line decision support method for responding to power quality early warning
  • On-line decision support method for responding to power quality early warning

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Embodiment Construction

[0031] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0032] The online decision support method for power quality early warning of the present invention, the process is as follows figure 1 As shown, it specifically includes the following steps.

[0033] 1) Establish a power quality early warning indicator system. The specific steps are:

[0034] 11) Firstly, for the typical power quality disturbance sources existing in the power grid, research and analyze their operating characteristics and the characteristics of the power quality problems caused by them, and extract characteristic indicators that can reflect the operating characteristics of different power quality disturbance sources. Taking wind power as an example, after it is connected to the grid, due to its inherent characteristics, it will cause a series of power quality problems at the common connection point of wind power, such as volt...

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Abstract

The invention discloses an on-line decision support method for responding to a power quality early warning. The on-line decision support method for responding to the power quality early warning comprises the following steps of (1) establishing a power quality early warning index system, (2), collecting data, (3) analyzing the early warning, (4) extracting a data feature quantity, (5) classifying indexes, (6) establishing a rule system, (7) conducting forward reasoning to obtain a decision support result, (8) and ending the on-line decision support analysis process. The on-line decision support method for responding to the power quality early warning is based on the established rule system, on-line decision support is conducted on a power quality early warning analysis result, and therefore a reasonable and workable expert decision suggestion can be provided for various power quality problems happening to a power system.

Description

technical field [0001] The invention belongs to the technical field of power quality monitoring, and relates to a power quality monitoring method used in power systems and power user transmission and distribution networks. Background technique [0002] Power quality can be simply defined as: the degree to which the voltage and current indicators related to the normal operation (or operation) of power supply, power consumption system and equipment deviate from the specified range. From this we can see the importance of power quality. [0003] At present, the research on power quality at home and abroad mainly focuses on data acquisition methods or basic processing of collected data. These researches mainly include power quality monitoring devices and methods, power quality assessment and governance, and power quality disturbance identification, etc. , but there are few studies on abnormal detection, early warning and related decision support of power quality index monitoring...

Claims

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Application Information

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IPC IPC(8): G06Q50/06
Inventor 顾伟柏晶晶袁晓冬李群张帅
Owner SOUTHEAST UNIV
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