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Using Grey Target Theory for Power Quality Evaluation Based on Power Quality Monitoring Data

Qiang Yu*, Xiankai Chen, Xiaoyue Li, Chaoqun Zhou, Zhichao Li

State Grid Qingdao Power Supply Company, Qingdao, 266000, China

* Corresponding Author: Qiang Yu. Email: email

Energy Engineering 2022, 119(1), 359-369. https://doi.org/10.32604/EE.2022.015397

Abstract

Smart grid puts forward higher requirements for power quality. Power quality evaluation can provide a decision-making basis for quality improvement. Based on power quality monitoring data, a grey target method is proposed for power quality evaluation. The grey target is composed of power quality evaluation standard and power quality monitoring data to be evaluated. Combining with the characteristics of each power quality evaluation index, the target center of the whole grey target system is found. Then, the power quality monitoring data to be evaluated and the power quality standard mode are compared and analyzed to construct the power quality grey correlation difference information space. Finally, the target center coefficient and target degree of power quality are calculated to realize the comprehensive evaluation of power quality, and the evaluation grade of power quality monitoring data to be evaluated is obtained. Compared with the evaluation results of the existing literature, the effectiveness of the proposed method is verified, which shows that grey target theory is reasonable in the comprehensive evaluation of power quality.

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Cite This Article

APA Style
Yu, Q., Chen, X., Li, X., Zhou, C., Li, Z. (2022). Using grey target theory for power quality evaluation based on power quality monitoring data. Energy Engineering, 119(1), 359-369. https://doi.org/10.32604/EE.2022.015397
Vancouver Style
Yu Q, Chen X, Li X, Zhou C, Li Z. Using grey target theory for power quality evaluation based on power quality monitoring data. Energ Eng. 2022;119(1):359-369 https://doi.org/10.32604/EE.2022.015397
IEEE Style
Q. Yu, X. Chen, X. Li, C. Zhou, and Z. Li "Using Grey Target Theory for Power Quality Evaluation Based on Power Quality Monitoring Data," Energ. Eng., vol. 119, no. 1, pp. 359-369. 2022. https://doi.org/10.32604/EE.2022.015397



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