Abstract
Efficient and valuable strategies provided by large amount of available data are urgently needed for a sustainable electricity system that includes smart grid technologies and very complex power system situations. Big Data technologies including Big Data management and utilization based on increasingly collected data from every component of the power grid are crucial for the successful deployment and monitoring of the system. This paper reviews the key technologies of Big Data management and intelligent machine learning methods for complex power systems. Based on a comprehensive study of power system and Big Data, several challenges are summarized to unlock the potential of Big Data technology in the application of smart grid. This paper proposed a modified and optimized structure of the Big Data processing platform according to the power data sources and different structures. Numerous open-sourced Big Data analytical tools and software are integrated as modules of the analytic engine, and self-developed advanced algorithms are also designed. The proposed framework comprises a data interface, a Big Data management, analytic engine as well as the applications, and display module. To fully investigate the proposed structure, three major applications are introduced: development of power grid topology and parallel computing using CIM files, high-efficiency load-shedding calculation, and power system transmission line tripping analysis using 3D visualization. The real-system cases demonstrate the effectiveness and great potential of the Big Data platform; therefore, data resources can achieve their full potential value for strategies and decision-making for smart grid. The proposed platform can provide a technical solution to the multidisciplinary cooperation of Big Data technology and smart grid monitoring.
Highlights
Along with the fast installation of computers and communication smart devices, the power industry is experiencing tremendous changes both in the scale of power grid and in the system complexity
This paper reviewed both the issues of Big Data technologies for power systems and employed a Big Data platform for power system monitoring and evaluation analysis
Based on the review of Big Data management technology and analytical tools and machine learning methods, a case study of the proposed novel Big Data platform for a power system is given with three application cases introduced
Summary
Along with the fast installation of computers and communication smart devices, the power industry is experiencing tremendous changes both in the scale of power grid and in the system complexity. Hidden values in power system big data cannot be effectively revealed by means of traditional power system analysis; Big Data technology and analytics are in desperate need. It is possible to get insights from the power system overall Big Data to improve the power efficiency, potentially influence factors of the power system status, understand power consumption patterns, predict the equipment usage condition, and develop competitive marketing strategies. From the above-mentioned research status of Big Data technology and its application in many aspects of the power system, it is concluded that Big Data management and analytics are certain development trends of future smart grids. A number of benefits to the utility grid in the abovementioned aspects According to these challenges, this paper will present a novel Big Data platform for complex power system status monitoring and evaluation using machine learning algorithms
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