Wind generating set state evaluation method based on modeling parameter feature analysis

A technology for assessing the status of wind turbines, applied in wind turbine combinations, wind engines, wind power generation, etc., can solve problems such as difficult to effectively measure the effective operating status of wind turbines

Active Publication Date: 2014-04-09
北京能高普康测控技术有限公司
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Problems solved by technology

[0011] The present invention proposes an effective assessment method for the status monitoring information of wind power generators in view of the fact that the design of state evaluation parameters in the state evaluation technology of existing wind power generators is relatively simple and it is difficult to effectively measure the effective operation status of wind power generators within a certain period of time

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  • Wind generating set state evaluation method based on modeling parameter feature analysis

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Embodiment Construction

[0027] Such as figure 1 It is a schematic diagram of the steps of the wind turbine state assessment method based on the characteristic analysis of the modeling parameters. The method consists of the following 7 steps:

[0028] Step 1: Wind turbine monitoring data screening;

[0029] Step 2: Identify the operating conditions of the wind turbine;

[0030] Step 3: sort and classify status monitoring data;

[0031] Step 4: Identify and match the data modeling structure;

[0032] Step 5: Intelligent model structure parameter estimation;

[0033] Step 6: secondary processing of model parameter information;

[0034] Step 7: Wind power equipment status warning and alarm.

[0035] Each step is described in detail below.

[0036] In step 1, the wind turbine monitoring data screening is mainly to judge the validity of the continuous monitoring data monitoring information within the specified state evaluation time period, screen out the obvious wrong data, and perform interpolation...

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Abstract

The invention relates to a wind generating set state evaluation method based on modeling parameter feature analysis. The method includes seven steps of wind generating set monitoring data screening, wind generating set operating condition identification, state monitoring data compilation and classification, data modeling structure identification and matching, intelligent model structure parameter estimation, secondary processing of model parameter information, and wind power generation equipment warning and alarm. According to the method, data modeling parameters of wind generating set state monitoring data are taken as kernel state evaluation variables, wind generating set state monitoring information is reflected in a model parameter form with high information summarization capacity within a certain period of time, and effective evaluation of states of wind power generation equipment is realized by means of analysis of model parameter change ranges, rules, tendencies and features.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a method for evaluating the state of a wind power generating set based on characteristic analysis of modeling parameters. Background technique [0002] The unit power generation cost of wind power is basically close to the cost of thermal power generation. It is currently the most commercially valuable and most popular type of energy among all renewable energy sources. Wind power is a clean energy that has important economic and social benefits for energy conservation and environmental protection. [0003] Wind power generation is the key direction of the national energy field's medium and long-term planning. my country's existing total installed capacity has reached 74 million kilowatts, accounting for 7% of the total installed capacity of the power grid. At the end of the 13th Five-Year Plan, the total installed capacity of wind power will reach 150-200 million kil...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D9/00G01M15/00
CPCY02E10/72
Inventor 贾利民刘展庞宇雷涛童亦斌
Owner 北京能高普康测控技术有限公司
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