Abstract
This paper presents a simulation study which addresses Demand Side Management (DSM) via scheduling and optimization of a set of residential smart appliances under day-ahead variable pricing with the aim of minimizing the
customer’s energy bill. The appliances’ operation and the overall model are subject to the manufacturer and user specific constraints formulated as a constrained linear programming problem. The overall model is simulated using
MATLAB and SIMULINK / SimPowerSystems basic blocks.
The results comparing Real Time Pricing (RTP) and the Fixed Time Tariff (FTT) demonstrate that optimal scheduling of the residential smart appliances can potentially result in energy cost savings. The extension of the model to incorporate renewable energy resources and storage system is also discussed
customer’s energy bill. The appliances’ operation and the overall model are subject to the manufacturer and user specific constraints formulated as a constrained linear programming problem. The overall model is simulated using
MATLAB and SIMULINK / SimPowerSystems basic blocks.
The results comparing Real Time Pricing (RTP) and the Fixed Time Tariff (FTT) demonstrate that optimal scheduling of the residential smart appliances can potentially result in energy cost savings. The extension of the model to incorporate renewable energy resources and storage system is also discussed
| Original language | English |
|---|---|
| Publication status | Published - 2013 |
| Event | 3rd International Workshop on Integration of Solar Power into Power Systems - London, United Kingdom Duration: 21 Oct 2013 → 22 Oct 2013 |
Conference
| Conference | 3rd International Workshop on Integration of Solar Power into Power Systems |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 21/10/13 → 22/10/13 |