Intelligent Grid Edge Computing Application Research Utilising the Internet of Things (IoT)

IoT-based smart grids, as a cutting-edge research direction in the energy field, have sparked extensive interest and research. In this context, As an emerging computing paradigm, edge computing presents new opportunities for smart grid implementation and optimisation. The purpose of this research is to investigate the implementation of peripheral computation in IoT-based smart infrastructure and its potential value and impact on power systems. In this study, we begin by introducing the fundamental concepts of IoT-based smart grid and edge computing, before describing their relationship and the function of edge computing in smart grid. Subsequently, we concentrate on specific smart grid application areas for peripheral computation. Including energy management, load balancing, fault monitoring, and real-time data analysis. By applying in these areas, edge computing can provide real-time data processing and decision support to achieve efficient operation and optimized management of power systems. Further, this study explores the challenges and opportunities presented by edge computing applications. We analyze the problems that edge computing may face in terms of data security, communication delay, and resource allocation, and propose corresponding solution strategies. At the same time, we emphasize the innovation and sustainability of edge computing applications in smart grids, providing new ideas and methods for the future development of power systems. Finally, this study summarizes the advantages and prospects of edge computing applications in smart grids based on IoT, and proposes directions for future research.