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A Novel Edge-Supported Cost-Efficient Resource Management Approach for Smart Grid System

  • Jyotirmaya Mishra
  • Jitendra Sheetlani
  • K. Hemant K. Reddy
  • Diptendu Sinha Roy
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 710)

Abstract

The smart grids, a new-generation power supply system, have the capacity to lowering the cost, can increase service provision tremendously, and make surroundings greener as compared to conventional power supply systems. To interact with the physical world and widen its capabilities, integrated smart grid cyber-physical system (SG-CPS) can be used for computation, communication, and control. To support smart grid (SG), cloud components are employed for storing and processing users’ power demand and control flow information generated at different control components like smart meter (SM), home energy management (HEM), phasor measurement units (PMUs), and soon. But storing smart grid data to cloud and processing incurs unacceptable delays. This paper addresses quality-of-service (QoS) requirements of SGs by integrating fog computing along with cloud computing infrastructure for realizing an Edge Computing integrated Smart Grid (EC-iSG). To that end, this paper presents novel heuristics for resource management of such integrated infrastructure that accounts for parameters such as uplink and downlink communication costs, cost for VM deployment, and cost for communicating among base stations. The results presented demonstrate the efficacy of the proposed methodology.

Keywords

Smart grid Fog computing Cloud computing Cost optimization HEM PMU 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Jyotirmaya Mishra
    • 1
  • Jitendra Sheetlani
    • 2
  • K. Hemant K. Reddy
    • 3
  • Diptendu Sinha Roy
    • 4
  1. 1.Department of Computer Science and EngineeringGandhi Institute of Engineering and TechnologyGunupurIndia
  2. 2.Department of Computer Science and EngineeringSri Satya Sai University of Technology and Medical SciencesSehoreIndia
  3. 3.Department of Computer Science and EngineeringNational Institute of Science and TechnologyBerhampurIndia
  4. 4.Department of Computer Science and EngineeringNational Institute of TechnologyShillongIndia

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