Paper Info
Title
Demand Side Optimization in Smart Grid Using Harmony Search Algorithm and Social Spider Algorithm.
Abstract
Electricity is a valuable resource. With the increase of population, this valuable resource is being used inefficiently. To overcome this problem, electricity providers use various techniques like introducing different pricing schemes. In peak hours, when the usage of electricity is high, the utility increases the per unit cost. Therefore, usage of electricity in peak hours result in high electricity bills. The electricity bills can be reduced by efficiently scheduling the home appliances so that few appliances are operated during peak hours. For this purpose many techniques have been proposed. In this paper, we propose a Social Spider Algorithm (SSA) for Demand Side Management (DSM). Harmony Search Algorithm (HSA) has been adapted to evaluate the results of SSA. These algorithms schedules the appliances in such a way that the usage of electricity in peak hours is reduced. This results in reduction of electricity bill and Peak to Average Ratio (PAR).
Year
DOI
Venue
2017
10.1007/978-3-319-69835-9_2
ADVANCES ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING (3PGCIC-2017)
DocType
Volume
ISSN
Conference
13
2367-4512
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Muhammad Junaid112.41
Muhammad Hassan Rahim2206.11
Anwar Ur Rehman312.37
Waqar Ali412.04
Muhammad Awais517951.40
Tamour Bilal601.69
Nadeem Javaid71043222.46