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Yan Zhengbo
Yunnan Electric Power Test & Research Institute Group Co. Ltd. Electric Power Research Institute, Kunming

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The Research of Power plant Operating Data Based on Real-time Digital filtration technology Zhao Ming; Yan Zhengbo; Zhou Liukun; Wang Huijie; Xu Xiaogang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Real-time monitoring of the data of the thermal power plant is the basis of accurate analyzing thermal economy and accurate reconstruction of the operating state. Due to noise is inevitable, we need real-time monitoring data filtering to get accurate information of units and equipment in the operating data of thermal power plant. Real-time filtering algorithm can’t be used to correct the current data with future data. Compared with traditional filtering algorithm, there are a lot of constraints. First-order lag filtering method and weighted recursive average filtering method can be used for real-time filtering. This paper analyzes the characteristics of the two filtering methods and applications for real-time processing of the positive spin simulation data, and the thermal power plant operating data. The analysis revealed that the weighted recursive average filtering method applied to the simulation and real-time plant data filtering achieved very good results. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3468
Co-Authors Wang Huijie Xu Xiaogang Zhao Ming Zhou Liukun