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Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Constriction and Linearly Decreasing Inertia Weight Methods Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Home Energy Management Using HSA, FA, BFOA Algorithms in Smart Grids

Authors : Asma Zahra, Zain Ul Abideen, Anwaar Ur Rehmaan, Sidra Razzaq, Ayesha Anjum, Nadeem Javaid

Published in: Advances in Network-Based Information Systems

Publisher: Springer International Publishing

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Abstract

In this paper, we have designed home energy management scheduler (HEMS) based on three heuristic algorithms such as, harmony search algorithm (HSA), firefly algorithm (FA) and bacteria foraging optimization algorithm (BFOA) with combination of critical peak pricing (CPP) signal model. Moreover, we are evaluating performance of above mentioned algorithms on the basis of electricity cost, peak hour scheduling, user comfort (UC) and peak to average ratio (PAR). Simulation results depict that our proposed HEMS significantly achieved targeted objectives. BFOA based HEMS outperformed FA and HSA in terms of PAR minimization, electricity cost reduction and maximization of UC.

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previous chapter Home Energy Management Using Social Spider and Bacterial Foraging Algorithm
next chapter Comparison of BFA and EWA in Home Energy Management System Using RTP
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Metadata
Title
Home Energy Management Using HSA, FA, BFOA Algorithms in Smart Grids
Authors
Asma Zahra
Zain Ul Abideen
Anwaar Ur Rehmaan
Sidra Razzaq
Ayesha Anjum
Nadeem Javaid
Copyright Year
2018
Book
Advances in Network-Based Information Systems

Print ISBN: 978-3-319-65520-8

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

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-65521-5_22

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