OPTIMAL RESIDENTIAL LOAD CONTROL COMPARISON USING LINEAR PROGRAMMING AND SIMULATED ANNEALING FOR ENERGY SCHEDULING

Year 2020, Volume: 21 Issue: 1, 238 - 250, 31.03.2020

Emre Güler , Ümmühan Başaran Filik

https://doi.org/10.18038/estubtda.648767

Cited By: 1

Abstract

Many tariffs are used for
electricity pricing. Electricity bills can be reduced by choosing the optimal
working hours of appliances 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 unit prices at different times of the day are preferred.
Energy Management System (EMS) shifts time slots of some appliances to cheap
energy unit prices. Optimal load control is applied to prevent high peak demand
because there may be overload in system because of shifting of working hours of
appliances. Mathematical model of the problem is constructed and LP method is
solved by GAMS and SA technique is realized by C# program. The cost table
consisting of the energy unit prices of each time slots is used as input. Optimum
electricity cost, working hours of the appliances and peak to average ratio are
achieved by two different solutions and the results are compared. According to result,
LP gives lower cost than SA.

Keywords

Linear programming, Simulated annealing, Smart home, Energy management system, Load Control

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