Sustainable Development of Smart Power Industry: Multi-level framework based on big data technology

Abstract

This article integrates the traditional electric power business with smart surroundings, drawing on a survey of prior academics' research on smart grids to identify 15 elements that impact the sustainable growth of smart grids. With the Fuzzy-Dematel method, this investigation classifies the factors impacting the sustainable development of smart grid in the big data environment based on three frameworks, namely, smart society, smart economy, as well as smart environment, and eventually utilizes ISM theory to build a multi-level framework impacting the smart power industry development and establishes a system for the sustainable development of the smart grids. This article finds that power demand side management, smart microgrid systems, and smart low-carbon power are critical components for the sustainability of smart grids in the big data technology environment. The theoretical contribution of this investigation is considering the impact of the economy, society, and environment to establish a sustainable development framework for smart grid.