Energy management as a service over fog computing platform

Abstract

Cyber-Physical Energy System (CPES) has been seen as the new paradigm of tight integration of power systems, embedded systems, control, and communication. CPES is capable of improving power grid reliability, efficiency, and performance by managing the supply and demand functionalities of the power systems effectively and intelligently. In this demo, we present an energy management system prototype for home and microgrid levels (both from residential domain), implemented over a fog computing platform. The prototype is capable of supporting interoperability, scalability, ease of deployment, cost effectiveness, open architecture, plug-n-play, and local and remote monitoring in a single package to fulfill the mandates by US Department of Energy (DOE) [1].

FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing

“…For securing the framework operations, existing authentication techniques are applied. Korosh et al [22] also develop a PaaS framework that manages electricity usage in a home and in micro grid levels over Fog infrastructure. It can deal with the heterogeneity of Fog nodes and IoT devices and ensure data encryption.…”

“…Chen et al [17] and Razvan et al [18] develop separate prototype framework for smart city surveillance and gas-leak monitoring system respectively. In both frameworks the Fog infrastructure conducts necessary data processing and decision [11] Azimi et al [14] Gia et al [15] Orestis et al [16] Chen et al [17] Razvan et al [18] Hu et al [19] Yangui et al [12] Bruneo et al [13] Verba et al [20] Yi et al [21] Korosh et al [22] Chang et al [23] Nader et al [24] FogBus [this work] making operations. Remote Cloud is partially adopted in these frameworks for managing a record of IoT-data.…”

Fog Computing: An Overview of Big IoT Data Analytics

“…There are also some requirements to impose reducing gas emission controlled curtail and climate change [123]. Cyber Physical Energy System [124] is proposed for improving performance and reliability, for efficient production consumption of power from grids through the better smart management of demand and supply, throughout fog intelligence framework. A model application of this system has been implemented with fog platform to support monitoring, automotive response, and scalability.…”