DocumentCode :
658838
Title :
Residential Energy Consumption Controlling Techniques to Enable Autonomous Demand Side Management in Future Smart Grid Communications
Author :
Ullah, M.N. ; Javaid, Nadeem ; Khan, Imran ; Mahmood, Arif ; Farooq, Muhammad Umar
Author_Institution :
Dept. of Electr. Eng., COMSATS Inst. of IT, Islamabad, Pakistan
fYear :
2013
fDate :
28-30 Oct. 2013
Firstpage :
545
Lastpage :
550
Abstract :
This paper presents an overview of home appliances scheduling techniques to implement demand side management in smart grid. Increasing demand of consumers have affected the power system badly as power generation system faces a number of challenges both in quality and quantity. Economical generation and efficient consumption can solve this problem in future smart grid as it is integrated with information and communication technologies. Smart grid has opportunities to employ different pricing schemes which help also in increasing the efficiency of appliances scheduling techniques. Optimal energy consumption scheduling minimizes the energy consumption cost and reduces the Peak-to-Average Ratio (PAR) as well as peak load demand. In this work, we discuss different energy consumption scheduling schemes that schedule the household appliances in real-time to achieve minimum energy consumption cost and reduce peak demand to shape the load curve.
Keywords :
demand side management; domestic appliances; power consumption; power generation control; power generation economics; power generation scheduling; smart power grids; PAR; communication technology; controlling techniques; demand side management; economical generation; home appliances scheduling; household appliances; information technology; optimal energy consumption scheduling; peak-to-average ratio; power generation system; power system; residential energy consumption; smart grid communications; Energy consumption; Home appliances; Load modeling; Optimal scheduling; Schedules; Smart grids; Demand side management; optimal energy consumption scheduling; peak load demand; smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Broadband and Wireless Computing, Communication and Applications (BWCCA), 2013 Eighth International Conference on
Conference_Location :
Compiegne
Type :
conf
DOI :
10.1109/BWCCA.2013.94
Filename :
6690944
Link To Document :
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