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

Abstract

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.

Keywords

• Economic dispatch
• Artificial bee colony algorithm
• Power systems
• Optimization

Kaynakça

1. [1] ETKB. (2023). “Türkiye Ulusal Enerji Planı” Yayımlanmıştır. https://enerji.gov.tr/duyuru-detay?id=20317.
2. [2] Döşoğlu, M. K., Duman, S., & Öztürk, A. (2009). Genetik algoritma kullanarak ekonomik dağıtım analizi: Türkiye uygulaması. Politeknik Dergisi, 12(3), 167-172.
3. [3] Bouzeboudja, H., Chaker, A., Allali, A., & Naama, B. (2005). Economic dispatch solution using a real-coded genetic algorithm. Acta Electrotechnica et informatica, 5(1), 4.
4. [4] Abido, M. A. (2003). A niched Pareto genetic algorithm for multiobjective environmental/economic dispatch. International journal of electrical power & energy systems, 25(2), 97-105.
5. [5] Türkay, B. (2002). Economic dispatch at the ambarli power plant using genetic algorithm. IU-Journal of Electrical & Electronics Engineering, 2(1), 395-399.
6. [6] AlRashidi, M. R., & El-Hawary, M. E. (2006, July). Economic dispatch with environmental considerations using particle swarm optimization. In 2006 Large Engineering Systems Conference on Power Engineering (pp. 41-46). IEEE.
7. [7] Wang, L., & Singh, C. (2008). Balancing risk and cost in fuzzy economic dispatch including wind power penetration based on particle swarm optimization. Electric Power Systems Research, 78(8), 1361-1368.
8. [8] Vishwakarma, K. K., Dubey, H. M., Pandit, M., & Panigrahi, B. K. (2012). Simulated annealing approach for solving economic load dispatch problems with valve point loading effects. International Journal of Engineering, Science and Technology, 4(4), 60-72.

9. [9] Cai, J., Ma, X., Li, L., Yang, Y., Peng, H., & Wang, X. (2007). Chaotic ant swarm optimization to economic dispatch. Electric Power Systems Research, 77(10), 1373-1380.
10. [10] Özyön, S., Yasar, C., Özcan, G., & Temurtas, H. (2011). An artificial bee colony algorithm (ABC) approach to nonconvex economic power dispatch problems with valve point effect. In National Conference on Electrical, Electronics and Computer (FEEB’11) (pp. 294-299).
11. [11] Öztürk, A., Çobanlı, S., Duman, S., Tosun, S., & Döşoğlu, K. (2011, May). Yapay arı kolonisi algoritması ile elektrik güç sistemi optimal yakıt maliyetinin belirlenmesi. In 6th International Advanced Technologies Symposium (IATS’11) (Vol. 16, p. 18).
12. [12] Eminoğlu, U., & Karahan, O. (2017). Metasezgisel metotlar kullanılarak ekonomik yük dağıtımı probleminin çözümü: grafiksel kullanıcı arayüzü uygulaması. Politeknik Dergisi, 20(4), 827-835.
13. [13] Özyön, S. (2020). Yenilenebilir Enerji Üretim Birimleri İçeren Çevresel-Ekonomik Güç Dağıtımı Probleminin Yüklü Sistem Arama Algoritması ile Çözümü. Avrupa Bilim ve Teknoloji Dergisi, (18), 81-90.
14. [14] Andiç, C., Öztürk, A., & Tosun, S. Karga Arama Algoritmasi Kullanilarak Valf Nokta Etkili Ekonomik Yük Dağitimi Probleminin Çözülmesi. IV. Uluslararasi Bilimsel ve Mesleki Çalişmalar Kongresi – Mühendislik (BILMES EN 2019), Ankara, Türkiye, 7 - 09 Kasım 2.
15. [15] Dixit, G. P., Dubey, H. M., Pandit, M., & Panigrahi, B. K. (2011). Economic load dispatch using artificial bee colony optimization. International Journal of Advances in Electronics Engineering, 1(1), 119-124.
16. [16] Turgut, M. S., & Demir, G. K. (2017). Ekonomik Yük Dağıtımı Probleminin Yapay İşbirlikçi Algoritması ile Çözümü. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, 19(55), 16-27.
17. [17] Özyön, S., & Yaşar, C. Ekonomik Güç Dağıtım Problemlerine Rüzgâr Enerji Santrallerinin Etkisinin Diferansiyel Gelişim Algoritmasıyla İncelenmesi The Examination of the Influence of the Wind Power Plants on Economic Power Dispatch Problems by Differential.
18. [18] Karaboga, D. (2010). Artificial bee colony algorithm. scholarpedia, 5(3), 6915.