气候变化领域集成服务门户(CCPortal): A hybrid bat-crow search algorithm based home energy management in smart grid

CCPortal

DOI	10.1007/978-3-319-93659-8_7
	A hybrid bat-crow search algorithm based home energy management in smart grid
	Pamir; Javaid N.; Mohsin S.M.; Iqbal A.; Yasmeen A.; Ali I.
发表日期	2019
ISSN	21945357
起始页码	75
结束页码	88
卷号	772
英文摘要	In smart grid (SG), demand side management (DSM) is a set or group of programs, allow consumers to play a vital role in transferring of their own load demand during peak time periods and minimizing their hourly based power consumption and total monetary cost of the electricity consumed and it also helps the electric utility in reducing higher power demand in the time of high energy demanded time slots. Where, this consequently results in reduction of the total electricity cost, maximization of power grid sustainability and reduction in carbon dioxide emissions which ultimately results in a pollution free environment. Nowadays, most of the DSM strategies available in existing literature concentrate on house hold appliances scheduling to decrease consumer delay time and peak to average ratio (PAR). However, they ignore the total electricity cost. In this paper, we employ load shifting strategy, to decrease total electricity payment. To gain above objective, we propose a hybrid of bat algorithm (BA) and crow search algorithm (CSA) i.e., bat-crow search algorithm (BCSA) and the results are compared with the existing BA and CSA. Simulations were conducted for a single home with 15 appliances, uses critical peak pricing (CPP) scheme for the computation of consumer’s electricity bill. The results show that load is successfully shifted to lower price time slots using our proposed BCSA technique, which ultimately leads to 31.191% reduction in total electricity payment., Springer International Publishing AG, part of Springer Nature.
英文关键词	Appliances scheduling; Bat Algorithm; Crow Search Algorithm; Demand Side Management; Heuristic techniques; Home Energy Management; Metaheuristic techniques; Smart Grid
scopus关键词	Carbon dioxide; Cost reduction; Demand side management; Economics; Electric power transmission networks; Electric power utilization; Electric utilities; Energy management; Global warming; Heuristic methods; Learning algorithms; Scheduling; Scheduling algorithms; Sustainable development; Bat algorithms; Heuristic techniques; Home energy managements; Meta-heuristic techniques; Search Algorithms; Smart grid; Smart power grids
来源期刊	Advances in Intelligent Systems and Computing
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/176531
作者单位	COMSATS Institute of Information Technology, Islamabad, 44000, Pakistan; Bahauddin Zakariya University, Multan, Pakistan
推荐引用方式 GB/T 7714	Pamir,Javaid N.,Mohsin S.M.,et al. A hybrid bat-crow search algorithm based home energy management in smart grid[J],2019,772.
APA	Pamir,Javaid N.,Mohsin S.M.,Iqbal A.,Yasmeen A.,&Ali I..(2019).A hybrid bat-crow search algorithm based home energy management in smart grid.Advances in Intelligent Systems and Computing,772.
MLA	Pamir,et al."A hybrid bat-crow search algorithm based home energy management in smart grid".Advances in Intelligent Systems and Computing 772(2019).