Optimal Residential Load Control Comparison Using Linear Programming and Simulated Annealing for Energy Scheduling

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.

Erişime Açık
Görüntülenme
9
22.03.2024 tarihinden bu yana
İndirme
1
22.03.2024 tarihinden bu yana
Son Erişim Tarihi
19 Nisan 2024 14:25
Google Kontrol
Tıklayınız
Tam Metin
Tam Metin İndirmek için tıklayın Ön izleme
Detaylı Görünüm
Eser Adı
(dc.title)
Optimal Residential Load Control Comparison Using Linear Programming and Simulated Annealing for Energy Scheduling
Yayın Türü
(dc.type)
Makale
Yazar/lar
(dc.contributor.author)
GÜLER, Emre
Yazar/lar
(dc.contributor.author)
BAŞARAN FİLİK, Ümmühan
Atıf Dizini
(dc.source.database)
Diğer
Konu Başlıkları
(dc.subject)
Linear Programming
Konu Başlıkları
(dc.subject)
Simulated Annealing
Konu Başlıkları
(dc.subject)
Smart Home
Konu Başlıkları
(dc.subject)
Energy Management System
Konu Başlıkları
(dc.subject)
Load Control
Yayıncı
(dc.publisher)
Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering
Yayın Tarihi
(dc.date.issued)
2020
Kayıt Giriş Tarihi
(dc.date.accessioned)
2021-01-22T08:15:21Z
Açık Erişim tarihi
(dc.date.available)
2021-01-22T08:15:21Z
Özet
(dc.description.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.
Yayın Dili
(dc.language.iso)
en
Tek Biçim Adres
(dc.identifier.uri)
http://hdl.handle.net/20.500.12498/4947
Analizler
Yayın Görüntülenme
Yayın Görüntülenme
Erişilen ülkeler
Erişilen şehirler
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve cerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.

creativecommons
Bu site altında yer alan tüm kaynaklar Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.
Platforms