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2019 | OriginalPaper | Buchkapitel

Globally Optimization Energy Grid Management System

verfasst von : Abdul Rahman, Nadeem Javaid, Muhammad Asad Zaheer, Maryam Bibi, Zoha Fatima, Qurat Ul Ain

Erschienen in: Advances in Network-Based Information Systems

Verlag: Springer International Publishing

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Abstract

This paper focuses on the smart grid with cloud and fog computing to reduce the wastage of electricity. A traditional grid is converted into a smart grid to reduce the increase of temperature. A smart grid is the combination of traditional grid and information and communication technology (ICT). The Micro Grid (MG) is directly connected with fog and has small scale power. MG involves multiple sources of energy as a way of incorporating renewable power. The Macro Grid has a large amount of energy, and it provides electricity to the MG and to the end users. Clusters are the number of buildings having multiple homes. Some load balancing algorithms are used to distribute the load efficiently on the virtual machines and also helps the maximum utilization of the resources. However, a user is not allowed to communicate directly with MG, a smart meter is used with each cluster for the communication purpose. If the MG is unable to send as much energy as needed then fog will ask cloud to provide energy through macro grid. Optimized bubble sort algorithm is used and it is actually a sorting algorithm. The sorting, in this case, means that the virtual machine sorts on the basis of a load. The virtual machine which has the least load will serve the demand. In this way, the virtual machine works and this mechanism give least response time with high resources utilization. Cloud analyst is used for simulations.

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Metadaten
Titel
Globally Optimization Energy Grid Management System
verfasst von
Abdul Rahman
Nadeem Javaid
Muhammad Asad Zaheer
Maryam Bibi
Zoha Fatima
Qurat Ul Ain
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-319-98530-5_17

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