Application of Economic Load Distribution to Power Systems with the Artificial Bee Colony Algorithm Approach

Mustafa Yasin Erten; İbrahim Eke

Makale detayları

Application of Economic Load Distribution to Power Systems with the Artificial Bee Colony Algorithm Approach

Yazarlar:

Mustafa Yasin Erten | İbrahim Eke

Yayıncı:

Bingol University

Ana Başlıklar:

Mühendislik

Dergi:

Türk Doğa ve Fen Dergisi Vol.12 Issue 3, pp.60-65

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001299598

pISSN:

2149-6366

Anahtar kelimeler:

Özet:

 The economic dispatch problem has received increasing attention with the development of modern power systems. It is an optimization problem that aims to find the most economical schedule of generating units while satisfying load demand and operational constraints. In this paper, the application of the Artificial Bee Colony ABC algorithm to the economic dispatch problem is presented. The proposed method is demonstrated using a six-unit system. Additionally, the results obtained from the proposed method are compared with those from other optimization methods applied to the same problem.

 The economic dispatch problem has received increasing attention with the development of modern power systems. It is an optimization problem that aims to find the most economical schedule of generating units while satisfying load demand and operational constraints. In this paper, the application of the Artificial Bee Colony ABC algorithm to the economic dispatch problem is presented. The proposed method is demonstrated using a six-unit system. Additionally, the results obtained from the proposed method are compared with those from other optimization methods applied to the same problem.

 The economic dispatch problem has received increasing attention with the development of modern power systems. It is an optimization problem that aims to find the most economical schedule of generating units while satisfying load demand and operational constraints. In this paper, the application of the Artificial Bee Colony ABC algorithm to the economic dispatch problem is presented. The proposed method is demonstrated using a six-unit system. Additionally, the results obtained from the proposed method are compared with those from other optimization methods applied to the same problem.

 The economic dispatch problem has received increasing attention with the development of modern power systems. It is an optimization problem that aims to find the most economical schedule of generating units while satisfying load demand and operational constraints. In this paper, the application of the Artificial Bee Colony ABC algorithm to the economic dispatch problem is presented. The proposed method is demonstrated using a six-unit system. Additionally, the results obtained from the proposed method are compared with those from other optimization methods applied to the same problem.

Makale detayları

Application of Economic Load Distribution to Power Systems with the Artificial Bee Colony Algorithm Approach

Yazarlar:

Mustafa Yasin Erten | İbrahim Eke

Yayıncı:

Bingol University

Ana Başlıklar:

Mühendislik

Dergi:

Türk Doğa ve Fen Dergisi Vol.12 Issue 3, pp.60-65

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001299598

pISSN:

2149-6366

Economic dispatch

Artificial bee colony algorithm

Power systems

Optimization

Sayı

Makale detayları

Application of Economic Load Distribution to Power Systems with the Artificial Bee Colony Algorithm Approach

Yazarlar: Mustafa Yasin Erten | İbrahim Eke

Yayıncı: Bingol University

Ana Başlıklar: Mühendislik

Dergi: Türk Doğa ve Fen Dergisi Vol.12 Issue 3, pp.60-65

Belge Tipi: Makale

Yayın Tarihi: 9/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001299598

pISSN: 2149-6366

Economic dispatch

Artificial bee colony algorithm

Power systems

Optimization

Sayı

Yazarlar:

Mustafa Yasin Erten | İbrahim Eke

Yayıncı:

Bingol University

Ana Başlıklar:

Mühendislik

Dergi:

Türk Doğa ve Fen Dergisi Vol.12 Issue 3, pp.60-65

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001299598

pISSN:

2149-6366