2019 4th Asia Conference on Power and Electrical Engineering | |
The Power Transformer Operating Condition Evaluation Based on the Genetic Projection Pursuit Model | |
能源学;电工学 | |
Hua, Yue^1 ; Sun, Yuanyuan^1 ; Li, Na^1 ; Ma, Shuo^1 ; Wang, Erdong^1 | |
School of Electrical Engineering, Shandong University, Jinan | |
250061, China^1 | |
关键词: Evaluation index system; Evaluation results; Grading standards; Intermediate layers; Objective evaluation; Operating condition; Projection pursuit models; Weighting methods; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/486/1/012039/pdf DOI : 10.1088/1757-899X/486/1/012039 |
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来源: IOP | |
【 摘 要 】
Transformer is a key equipment in the power system, and it is very important to accurately evaluate its operating state. In this paper, a new method is proposed to evaluate the operating state of the power transformer based on the genetic projection pursuit model. The proposed method can provide a more objective evaluation result for the health condition of the transformers compared with the traditional methods. Firstly, a three-layer evaluation index system is established with the precautionary test, oil chromatographic analysis and insulating oil properties as the core content. And then, the grading standard of the lowest level index in the indicator system is established. Secondly, the genetic projection pursuit model is used in combination with the grading standard to obtain the intermediate layer evaluation results, which overcomes the disadvantages of the traditional transformer evaluation method which is greatly influenced by subjective factors. Finally, the eigenvalue weighting method is used to integrate the intermediate layer evaluation results to obtain the final result. Case study results show that the evaluation method of transformer operating state based on genetic projection pursuit model is reasonable and effective.
【 预 览 】
Files | Size | Format | View |
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The Power Transformer Operating Condition Evaluation Based on the Genetic Projection Pursuit Model | 674KB | download |