Demand side energy management using hybrid chicken swarm and bacterial foraging optimization techniques

被引：6
|
作者：
Abbas, Zaheer [1 ]
Javaid, Nadeem [1 ]
Khan, Ahmad Jaffar [1 ]
Rehman, Malik Hassan Abdul [1 ]
Sahi, Jawad [1 ]
Saboor, Abdul [1 ]
机构：
[1] COMSATS Inst Informat Technol, Pk Rd, Islamabad 44000, Pakistan
来源：
PROCEEDINGS 2018 IEEE 32ND INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA) | 2018年
关键词：
Demand side management; Smart grid; LOAD MANAGEMENT;
D O I：
10.1109/AINA.2018.00073
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we proposed a home energy management (HEM) scheme for minimization in electricity bills and reduction in peak load. This can be achieved by scheduling the usage timings of appliances (APP) for shifting load from peak hours (PHs) to OFF-peak hours (OPHs). In this study we proposed a technique which is hybrid of two bio-inspired optimization techniques chicken swarm optimization (CSO) and bacterial foraging optimization (BFA). Simulation results shows that proposed hybrid technique reduces the cost and load peaks by shifting load from PHs to OPHs and reduction in load peaks.
引用
收藏
页码：445 / 456
页数：12
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