Paper Info
Title
Efficient Demand Side Management Using Hybridization Of Elephant Herding Optimization And Firefly Optimization
Abstract
This paper presents a new algorithm to solve the problem of electricity cost reduction by hybridization of two meta-heuristic techniques, i.e., Elephant Herding Optimization (EHO) and Firefly Optimization (FF). A home energy management controller (HEMC), based on scheduling of different household electrical tasks is proposed to maintain balance between load and demand profile. The objective of this study is to determine lowest cost while considering user comfort maximization factor and peak to average ratio (PAR). The proposed algorithm, i.e., Hybrid Elephant and Firefly (HEF) optimization is analyzed comparatively to its' separate implemented versions to evaluate the performance and behavior towards scheduling process. Moreover, three different pricing models are used to calculate the total power consumption rate. Simulation results show that our proposed hybrid optimization technique performs more efficiently to achieve lowest cost and maximum consumer satisfaction.
Year
DOI
Venue
2018
10.1109/AINA.2018.00124
PROCEEDINGS 2018 IEEE 32ND INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA)
Keywords
Field
DocType
Residential area domain, Elephant herding, Firefly, Home energy management
Mathematical optimization,Smart grid,Scheduling (computing),Computer science,Herding,Energy consumption,Firefly protocol,Consumer satisfaction,Maximization,Distributed computing,Power consumption
Conference
ISSN
Citations 
PageRank 
1550-445X
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Iqra Fatima102.37
Sikandar Asif213.05
Sundas Shafiq303.04
Itrat Fatima413.75
Muhammad Hassan Rahim5206.11
Nadeem Javaid61043222.46