Placing Controllers Using Latency Metrics in a Smart Grid Implementing Software- Defined Networking Architecture

Author:

Jeya R.1,Venkatakrishnan G R.2,Nagarajan Vaishnav2

Affiliation:

1. SRM Institute of Science and Technology

2. Sri Sivasubramaniya Nadar College of Engineering

Abstract

Smart grids add software and sensors to the existing power grids that will give utilities and individual’s access to information that they can understand and react to make changes quickly. They employ bi-directional communication between electricity endpoints and power stations. They help power stations with managing electricity demand and perform dynamic pricing. For instance, by using smart meters at home, consumers can view the price of electricity throughout the day and schedule tasks such that their energy bills are minimized. Deploying a smart grid comes with its own challenges. Managing the network of a smart grid is very complex and time consuming. The communication system comprises of devices that use different protocols for communication. This leads to interoperability problems and frequent intervention of the network administrator to make changes to the network configuration. By using the software-defined networking architecture, the control plane is separated from the data-forwarding plane. It allows network administrators to make configuration changes to the network from a device that centrally controls network components. One of the major challenges in SDN is the placement of controller (s) in the network. It affects the primary objective of setting up a network – fast and reliable communication of data. In this paper, we introduce the networking paradigm of smart grids and SDN architecture and go on to propose a method to find the optimal solution for the placement of controller (s) in a smart grid that uses SDN architecture.

Publisher

Trans Tech Publications Ltd

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3