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2018 | OriginalPaper | Buchkapitel

Demand Side Management Using Strawberry Algorithm and Bacterial Foraging Optimization Algorithm in Smart Grid

verfasst von : Hasan Nasir Khan, Hina Iftikhar, Salma Asif, Rubab Maroof, Khadija Ambreen, Nadeem Javaid

Erschienen in: Advances in Network-Based Information Systems

Verlag: Springer International Publishing

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Abstract

In Home Energy Management System (HEMs), consumer has the opportunity to schedule home appliances. In this paper, we have purposed an efficient HEMs by using two heuristic techniques: Bacterial Foraging Optimization Algorithm (BFA) and Strawberry Algorithm (SBA). We divide the appliances into three categories. The primary objective of this work is electricity cost and Peak to Average Ratio (PAR) minimization. Simulation results show that our optimization schemes reduce the total electricity cost and peak to average ratio by shifting the load from on peak hours to off peak hours. Results show that BFA performs better than SBA regarding electricity cost minimization. However, a trade-off always exists between cost and user comfort.

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Vorheriges Kapitel Biogeography Based Optimization for Home Energy Management in Smart Grid

Nächstes Kapitel Demand Side Management Using Meta-Heuristic Techniques and ToU in Smart Grid

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Titel: Demand Side Management Using Strawberry Algorithm and Bacterial Foraging Optimization Algorithm in Smart Grid
verfasst von: Hasan Nasir Khan
Hina Iftikhar
Salma Asif
Rubab Maroof
Khadija Ambreen
Nadeem Javaid
Verlag: Springer International Publishing
Buch: Advances in Network-Based Information Systems
Print ISBN: 978-3-319-65520-8

Electronic ISBN: 978-3-319-65521-5

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-65521-5_17

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