Syed Muhammad Mohsin, N. Javaid, S. Madani, Syed Muhammad Abrar Akber, Sohaib Manzoor, Javed Ahmad
{"title":"Implementing Elephant Herding Optimization Algorithm with different Operation Time Intervals for Appliance Scheduling in Smart Grid","authors":"Syed Muhammad Mohsin, N. Javaid, S. Madani, Syed Muhammad Abrar Akber, Sohaib Manzoor, Javed Ahmad","doi":"10.1109/WAINA.2018.00093","DOIUrl":null,"url":null,"abstract":"Demand Side Management (DSM) is the strategy applied in smart grid domain for Home Energy Management (HEM) and balancing of electricity demand and supply. Numerous optimization techniques have been proposed by research community for HEM. In this study, we have implemented Elephant Herding Optimization (EHO) technique to achieve four objectives: cost, PAR and waiting time minimization with user comfort maximization. EHO has been implemented with three different Operation Time Intervals (OTIs) i.e., 05, 30 and 60 minutes. Simulation results showed that EHO performed much better than un-schedule case and EHO efficiency for shorter OTI is also better than longer OTIs.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WAINA.2018.00093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Demand Side Management (DSM) is the strategy applied in smart grid domain for Home Energy Management (HEM) and balancing of electricity demand and supply. Numerous optimization techniques have been proposed by research community for HEM. In this study, we have implemented Elephant Herding Optimization (EHO) technique to achieve four objectives: cost, PAR and waiting time minimization with user comfort maximization. EHO has been implemented with three different Operation Time Intervals (OTIs) i.e., 05, 30 and 60 minutes. Simulation results showed that EHO performed much better than un-schedule case and EHO efficiency for shorter OTI is also better than longer OTIs.