DocumentCode :
3225559
Title :
Scheduling of air conditioner based on real time price and real-time temperature
Author :
Haider, Zeeshan ; Mehmood, Faisal ; Xiaohong Guan ; Jiang Wu ; Yang Liu ; Bhan, Pervez
Author_Institution :
Minist. of Educ. Key Lab. for Intell. Network & Network Security, Xi´an Jiaotong Univ., Xi´an, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
5134
Lastpage :
5138
Abstract :
The smart grid initiative and the market operations drive into the new concept of control able loads. This particular Paper presents a smart scheduling device of an air conditioner which demonstrates the general architecture along with practical implementation of the hardware that could be use to schedule the air condition based on real time price and temperature in order to reduce the cost of electricity bill, devoid of compromising the user comfort. The proposed architecture of overall system comprise of three parts, Data collection Part, Scheduling Part and Control part. The system collects outdoor temperature as well as dynamic price in real time. Scheduling part serves as brain of proposed system and is responsible for taking decisions based on input parameters. It determines an optimal choice of energy consumption scheduling which keeps into consideration the user comforts and formulated as nonlinear programming. Results were then applied to the air conditioner in the form of on/off and setting thermostat with help of the control unit which consisted on the infrared transmitter and receiver. At last a test bed was designed and experimental results shown that the electricity expenditure is reduced, along with that the overall suitable temperature is also maintained.
Keywords :
air conditioning; electricity supply industry; nonlinear programming; power consumption; power generation scheduling; power markets; power system control; pricing; smart power grids; temperature control; thermostats; air conditioner scheduling; cost reduction; data collection; dynamic price; electricity bill; electricity expenditure; energy consumption scheduling; infrared receiver; infrared transmitter; market operations; nonlinear programming; outdoor temperature; real time price; real-time temperature; smart grid; smart scheduling device; thermostat setting; user comforts; Data collection; Load management; Real-time systems; Temperature control; Temperature distribution; Temperature sensors; Thermostats; advance meter infrastructure; demand response; price prediction; real time price; user comfort;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162789
Filename :
7162789
Link To Document :
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