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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 5134-5138 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781479970179 |
| DOIs | |
| State | Published - 17 Jul 2015 |
| Event | 27th Chinese Control and Decision Conference, CCDC 2015 - Qingdao, China Duration: 23 May 2015 → 25 May 2015 |
Publication series
| Name | Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015 |
|---|
Conference
| Conference | 27th Chinese Control and Decision Conference, CCDC 2015 |
|---|---|
| Country/Territory | China |
| City | Qingdao |
| Period | 23/05/15 → 25/05/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- advance meter infrastructure
- demand response
- price prediction
- real time price
- user comfort
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