TY  - JOUR
TI  - OPTIMAL RESIDENTIAL LOAD CONTROL COMPARISON USING LINEAR PROGRAMMING AND SIMULATED ANNEALING FOR ENERGY SCHEDULING
AB  - Many tariffs are used for electricity pricing. Electricity bills can be reduced by choosing the optimal working hours ofappliances and for appropriate tariffs in smart homes. In this study, Linear Programming (LP) and Simulated Annealing (SA)methods are realized and compared each other to find minimum bill. The multi-time tariffs that have different energy unitprices at different times of the day are preferred. Energy Management System (EMS) shifts time slots of some appliances tocheap energy unit prices. Optimal load control is applied to prevent high peak demand because there may be overload in systembecause of shifting of working hours of appliances. Mathematical model of the problem is constructed and LP method is solvedby GAMS and SA technique is realized by C# program. The cost table consisting of the energy unit prices of each time slotsis used as input. Optimum electricity cost, working hours of the appliances and peak to average ratio are achieved by twodifferent solutions and the results are compared. According to result, LP gives lower cost than SA.
AU  - Basaran Filik, Ummuhan
AU  - Güler, Emre
DO  - 10.18038/estubtda.648767
PY  - 2020
JO  - Eskişehir Technical University Journal of Science and and Technology A- Applied Sciences and Engineering
VL  - 21
IS  - 1
SN  - 2667-4211
SP  - 238
EP  - 250
DB  - TRDizin
UR  - http://search/yayin/detay/434023
ER  -