COMPREHENSIVE MANAGEMENT OF DATA IN POWER DISTRIBUTION COMPANIES, WITH A SPECIFIC EMPHASIS ON CHINA'S NATIONAL CAPITAL AREA

Abstract

To optimize resources, guarantee dependable energy supply, and fulfil the increasing demand for electricity in metropolitan areas, power distribution firms must have efficient data management systems. This research delves into the data management practices of power distribution firms in the National Capital Area of China. This study delves into the primary obstacles encountered by these businesses, such as dealing with the massive volumes of data produced by AMI, incorporating renewable energy sources, and ensuring grid stability. In order to improve data collecting, processing, and analysis, the research stresses the need of using current technologies like the Internet of Things (IoT), cloud computing, and big data analytics. These advancements in technology pave the way for better decision-making, predictive maintenance, and real-time monitoring. Furthermore, the study emphasizes how the digitalization of electricity distribution networks is aided by China's policy-driven strategy, which incorporates smart grid projects. Examining effective data management techniques via case studies and quantitative analysis, the research delves into topics such as optimizing load distribution, decreasing power losses, and assuring energy efficiency. In order to prevent cyberattacks on critical infrastructure data, the results highlight the need of strong data security measures. Ultimately, power distribution firms must implement comprehensive data management systems since it is both a technological need and a key component of sustainable urban development strategies. This study shows how data-driven methods may improve operational efficiency and service dependability in the National Capital Area of China and other fast-urbanizing locations, which is a great lesson for power utilities throughout the globe.