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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

Meta-Heuristic and Nature Inspired Approaches for Home Energy Management

Authors : Zain Ul Abideen, Fouzia Jamshaid, Asma Zahra, Anwar Ur Rehman, Sidra Razzaq, Nadeem Javaid

Published in: Advances in Network-Based Information Systems

Publisher: Springer International Publishing

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Abstract

In this paper, an energy management controller (EMC) is designed using three optimization techniques: harmony search algorithm (HSA), firefly algorithm (FA) and enhanced differential evolution (EDE). The objectives of this work are to minimize electricity cost as well as peak to average ratio (PAR) while maintaining the user comfort (UC). Critical peak pricing (CPP) is used for the calculation of electricity bill. The trade-off between UC and electricity cost is exploited in such a way that a stability is achieved among UC and electricity price that is preferred by the consumer. Reduction in PAR is beneficial for both consumer and utility as it provides stability to the electric grid.

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previous chapter Home Energy Management Based on Harmony Search Algorithm and Crow Search Algorithm
next chapter Home Energy Management Using Social Spider and Bacterial Foraging Algorithm
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Metadata
Title
Meta-Heuristic and Nature Inspired Approaches for Home Energy Management
Authors
Zain Ul Abideen
Fouzia Jamshaid
Asma Zahra
Anwar Ur Rehman
Sidra Razzaq
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_20

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