Journals / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi / 2017 / Cilt: 32 - Sayı: 2

Solving economic load dispatch problem with valve-point effects using filled function

Filled fonksiyon kullanarak vana etkili ekonomik yük dağıtımı probleminin çözülmesi

Pages
1159–2820
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Simulation results show that the filled function method is less sensitive to initial valuesof parameters and is more effective than other previously developed algorithms.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper presents a filled function method to solve economic load dispatch (ELD) of the thermal unit.
📊
Key Findings & Data:The proposed method can take care of ELD considering nonlinearity such as valve point loading.
💡
Conclusion & Impact:Simulation results show that the filled function method is less sensitive to initial valuesof parameters and is more effective than other previously developed algorithms.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

This paper presents a filled function method to solve economic load dispatch (ELD) of the thermal unit. The proposed method can take care of ELD considering nonlinearity such as valve point loading. Theeffectiveness of the proposed algorithm has been verified on three different test systems with equality andinequality constraint. Simulation results show that the filled function method is less sensitive to initial valuesof parameters and is more effective than other previously developed algorithms. In addition, the proposedalgorithm is highly promising for the large-scale system.

Özet

Bu makalede, ekonomik yük dağıtımı problemine filled fonksiyonu metodu uygulanmıştır. Vana etkisi gibidoğrusal olmayan durumlar içeren ekonomik yük dağıtımı probleminin çözümünde önerilen methodunbaşarısı gösterilmiştir. Eşitlik ve eşitsizlik içeren üç farklı test durumunda, önerilen metot test edilerekdoğrulanmıştır. Elde edilen benzetim sonuçlarına göre; filled fonksiyon metodu, parametrelerin ilkdeğerlerine daha az bağlıdır ve geliştirilen diğer algoritmalara göre daha verimli çalışmaktadır. Bunlara ilavaten, büyük güç sistemlerinde önerilen algoritmanın kolaylıkla uygulanabileceği öngörülmektedir.

🔖

Cite This Article

EKE, İ., TEZCAN, S. S., ÇELİK, C. (2022). Solving economic load dispatch problem with valve-point effects using filled function. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, Cilt: 32 - Sayı: 2, 1159–2820. https://ajindex.com/articles/523587

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (16)

  1. Pradhana M., Royb P.K., Palc T., Grey wolf optimization applied to economic load dispatch problems, Int. J. Electr. Power Energy Syst., 83 (1), 325-334, 2016
  2. Parouha R.P., Das K.N., DPD: An intelligent parallel hybrid algorithm for economic load dispatch problems with various practical constraints, Expert Syst. Appl., 63 (1), 295-309, 2016
  3. Zou D., Li S., Wang G.G., Li Z., Ouyang, H., An improved differential evolution algorithm for the economic load dispatch problems with or without valve-point effects, Appl. Energy, 181 (C), 375-390, 2016
  4. Saadat H., Power system analysis, WCB/McGrawHill, A.B.D, 1999
  5. Wood A.J., Wollenberg B.F., Power generation operation and control, John Wiley, New York, 1984
  6. Yalcinoz T., Short M., Neural networks approach for solving economic dispatch problem with transmission capacity constraints, IEEE Trans. Power Syst., 13 (2), 307-313, 1998
  7. Yalçinöz T., Altun H., Comparison of simulation algorithms for the Hopfield neural network: an application of economic dispatch, Turkish Journal of Electrical Engineering & Computer Sciences, 8 (1), 67-80, 2000
  8. Es H.A., Kalender F.Y., Hamzaçebi C., Forecasting the Net Energy Demand of Turkey by Artificial Neural Networks, Journal of the Faculty of Engineering and Architecture of Gazi University, 29 (3), 495-504, 2014
  9. Lee F.N., Breipohl A.M., Reserve constrained economic dispatch with prohibited operating zones, IEEE Trans. Power Syst., 8 (1), 246-254, 1993
  10. Bellman R., Dynamic Programming Princeton University Press, Princeton, NJ, 1957
  11. Germeç K.E., Erdem H., Time-harmonic analysis in electric power systems, Journal of the Faculty of Engineering and Architecture of Gazi University, 30 (2), 263-271, 2015
  12. Chen P.H., Chang H.C., Large-scale economic dispatch by genetic algorithm, IEEE Trans. Power Syst., 10 (4), 1919-1926, 1995
  13. Gürsu B., Optimum overcurrent relay coordination via genetic algorithm method stopped by penalty function in substations, Journal of the Faculty of Engineering and Architecture of Gazi University, 29 (4), 665-676, 2014
  14. Eroğlu H., Aydin M., Automation of electrical transmission lines' route optimization and project drawing, Journal of the Faculty of Engineering and Architecture of Gazi University, 30 (4), 723-732, 2015
  15. Zaman M.F., Elsayed S.M., Ray T., Sarker R.A., Evolutionary Algorithms for Dynamic Economic Dispatch Problems, IEEE Trans. Power Syst., 31 (2), 1486-1495, 2016
  16. Sinha N., Chakrabarti R., Chattopad