A Data Analytics Scheme for Security-aware Demand Response Management in Smart Grid System
Aparna Kumari, Sudeep Tanwar
Abstract
The exponential growth in energy demand led to increased demand-response gaps and decreased service quality of modern ICT-based smart grid (SG) in industry 4.0. It necessitates an efficient Demand Response Management (DRM) system in order to tackle aforementioned challenges. However, several DRM solutions exist, but these solutions are not adequate in terms of peak loads reduction, consumer comfort, and data security issues. Motivated from above facts, in this paper, we propose a scheme ϵ-Sutra, which is a security-aware DRM scheme for the SG system based on blockchain technology and integrated with data analytics. Here, a DRM algorithm is proposed to reduce peak energy consumption along with an incentive mechanism to consumers. ϵ-Sutra is incorporated with Ethereum-based smart contract (ESC) to handle security issues and InterPlanetary File System (IPFS) for data storage cost issues. The efficacy of the ϵ-Sutra scheme is evaluated in contrast with existing solutions based on various evaluation metrics.