Home Energy Management Using Fish Swarm Optimization Bacterial Foraging Algorithm and Genetic Algorithm in Smart Grid

被引:0
|
作者
Ali, Shahab [1 ]
Abid, Samia [1 ]
Ul Abideen, Zain [1 ]
Zahoor, Saman [1 ]
Fatima, Itrat [1 ]
Nadeem, Zunaira [2 ]
Javaid, Nadeem [1 ]
机构
[1] COMSATS Inst Informat Technol, Islamabad 44000, Pakistan
[2] Natl Univ Sci & Technol, Islamabad 44000, Pakistan
关键词
DEMAND-SIDE MANAGEMENT;
D O I
10.1007/978-3-319-69811-3_51
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Energy crises are serious issues due to exponential increase in demand of energy. To tackle the issue of increase in demand, an integration of traditional grid with Demand Side Management (DSM). As need to resolve energy crises issues in residential areas smart homes are introduced; contains Smart Meters (SM), which allows bidirectional communication between utilities and end users. Different heuristic techniques are used to overcome these issues. The energy management is more necessary in residential area as there is verity of different appliances and power rates to schedule. The heuristics techniques provide most optimal solution. The purpose of our implementation is to reduce the total cost and Peak to Average Ratio (PAR) value and while keeping in mind the trade-off with waiting time up to an acceptable limit.
引用
收藏
页码:570 / 582
页数:13
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