Research on Power Load Data Acquisition and Integrated Transmission Systems in Electric Energy Calculation and Detection

Sanlei Dang; Fusheng Wei; Min Wu; Ruibiao Xie; Jintao Wu

doi:10.4108/ew.5521

Authors

Sanlei Dang Metrology Center of Guangdong Power Grid Corporation Guangdong Power Grid New Energy Technology Development Park, No. 9 Meilinhu, Shijiao Town, Qingcheng District, Qingyuan City, 511545, China
Fusheng Wei Guangdong Power Grid Corporation No. 757 Dongfeng East Road, Yuexiu District, Guangzhou City, Guangdong Province, 510600，China
Min Wu Guangdong Power Grid Corporation No. 757 Dongfeng East Road, Yuexiu District, Guangzhou City, Guangdong Province, 510600，China
Ruibiao Xie Metrology Center of Guangdong Power Grid Corporation Guangdong Power Grid New Energy Technology Development Park, No. 9 Meilinhu, Shijiao Town, Qingcheng District, Qingyuan City, 511545, China
Jintao Wu Metrology Center of Guangdong Power Grid Corporation Guangdong Power Grid New Energy Technology Development Park, No. 9 Meilinhu, Shijiao Town, Qingcheng District, Qingyuan City, 511545, China

DOI:

https://doi.org/10.4108/ew.5521

Keywords:

Power Load Data Acquisition, Integrated Transmission System, Electric Energy Calculation, Energy Detection, Data Monitoring, Smart Grids

Abstract

This paper presents the crucial area of power load data acquisition with an integrated transmission system for precise calculation and detection of electric energy. With the advances in technology, management and optimization of energy has become critical for sustainability and economic reasons. Thus, we have targeted the cutting-edge methods for data gathering of power load along with its efficient transmission previously reviewed. We scrutinized the current methods and technologies used in power load data acquisition and identified their limitations along with areas of improvements. We followed advanced sensors and measuring devices for data collection employed an integrated transmission system with up-to-the-minute communication protocols and data processing algorithms. These were experimentally verified to improve the accuracy and reliability of the electric energy calculations. The real-world case studies were included for its practical implementations to provide an insight into its impacts. The results of this study provide a maturing outlook along with valuable analysis for electric energy calculation and detection. The system due to its potential for enhancing the energy management and efficiency can have a real-life and profound significance in sustainable and economic handling of the increasing load of energy.

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