Insulation state evaluation method and system of double-fed type wind driven generator

Abstract

The invention discloses an insulation state evaluation method and system of a double-fed type wind driven generator. The method comprises the following steps: performing insulation resistance, dielectric loss and partial discharge detection tests on the double-fed type wind driven generator to be evaluated, and collecting initial data of the three tests of the motor; obtaining 7 evaluation parameter values of defined multi-parameter fuzzy comprehensive evaluation through test results and the initial data; firstly performing single parameter threshold judgment on the detection test result to evaluate whether the insulation is seriously degraded; and then substituting the obtained evaluation parameter values in a multi-parameter fuzzy comprehensive evaluation model to obtain a fuzzy comprehensive evaluation result according to the principle of maximum membership degree, and realizing the graded evaluation of three levels of good insulation state, early warning and danger of the wind driven generator. According to the insulation state evaluation method and system disclosed by the invention, single parameter threshold judgment and the multi-parameter comprehensive evaluation are adopted to overcome the defects and shortcomings of single parameter and to improve the accuracy of the evaluation result, and the insulation state evaluation of the wind driven generator is improved from qualitative evaluation to quantitative evaluation.

Description

technical field [0001] The invention belongs to the field of insulation state evaluation, and in particular relates to a method and system for evaluating the insulation state of a doubly-fed wind power generator. Background technique [0002] The high operation and maintenance costs of wind turbines affect the economic benefits of wind farms. Wind farms are generally located in remote locations with harsh environments, and the engine room is located at a height of 50-80m above, which causes difficulties in the maintenance and repair of the unit and increases the operation and maintenance cost of the unit. For a unit with a working life of 20 years, the operation and maintenance costs are estimated to account for 10% to 15% of the wind farm revenue; for offshore wind farms, the cost of wind turbine operation and maintenance is as high as 20% to 25% of the wind farm revenue. Therefore, whether it is from the perspective of reducing the operating risk of wind turbines or reduc...

AI Technical Summary

Problems solved by technology

Traditional methods can only qualitatively evaluate the insulation state of wind turbines, and the evaluation results can only be "good" or "bad". However, the insulation state is a problem with uncertainty and multiple factors. Qualitative assessment, the results obtained are often inaccurate

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