SavedAdd your journal

Journals / Celal Bayar Üniversitesi Fen Bilimleri Dergisi / 2021 / Cilt: 17 - Sayı: 2

Optimal placement of multiple DGs in radial distribution systems to minimize power loss using BSA

Waleed FADEL
Ulaş KILIÇ
Sezai TAŞKIN
Pages
199–207
Publication Date
2021-06-28
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)

To demonstrate the effectiveness of the proposed method, the results obtained by BSA are compared with a genetic algorithm (GA) as well as other results in the literature.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:: Distributed generation (DG) sources are becoming more important in electrical networks due to the increase of electrical energy demands.
📊
Key Findings & Data:However, DG sources can have a profound effect on network power loss.
💡
Conclusion & Impact:To demonstrate the effectiveness of the proposed method, the results obtained by BSA are compared with a genetic algorithm (GA) as well as other results in the literature.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:BSA · DG placement · DG size

Abstract

: Distributed generation (DG) sources are becoming more important in electrical networks due to the increase of electrical energy demands. However, DG sources can have a profound effect on network power loss. Hence, optimal placement and size of DGs are extremely important. This study presents a backtracking search algorithm (BSA) based on optimal placement and size of multiple DGs within distribution systems so to reduce power loss. The BSA is a new heuristic algorithm. Two main DGs, photovoltaic and synchronous compensator, were used in the selected systems. To demonstrate the effectiveness of the proposed method, the results obtained by BSA are compared with a genetic algorithm (GA) as well as other results in the literature.

🔖

Cite This Article

FADEL, W., KILIÇ, U., TAŞKIN, S. (2021). Optimal placement of multiple DGs in radial distribution systems to minimize power loss using BSA. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, Cilt: 17 - Sayı: 2, 199–207. https://ajindex.com/articles/215365

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (10)

  1. Kansal, S., Kumar, V. and Tyagi, B., 2013. Optimal placement of different type of DG sources in distribution networks. International Journal of Electrical Power & Energy Systems, 53, pp.752-760.
  2. Kayal, P. and Chanda, C.K., 2013. Placement of wind and solar based DGs in distribution system for power loss minimization and voltage stability improvement. International Journal of Electrical Power & Energy Systems, 53, pp.795-809.
  3. Kollu, R., Rayapudi, S.R. and Sadhu, V.L.N., 2014. A novel method for optimal placement of distributed generation in distribution systems using HSDO. International Transactions on Electrical Energy Systems, 24(4), pp.547-561. García, J.A.M. and Mena, A.J.G., 2013. Optimal distributed generation location and size using a modified teaching–learning based optimization algorithm. International journal of electrical power & energy systems, 50, pp.65-75.
  4. Injeti, S.K. and Kumar, N.P., 2013. A novel approach to identify optimal access point and capacity of multiple DGs in a small, medium and large scale radial distribution systems. International Journal of Electrical Power & Energy Systems, 45(1), pp.142-151.
  5. Manafi, H., Ghadimi, N., Ojaroudi, M. and Farhadi, P., 2013. Optimal placement of distributed generations in radial distribution systems using various PSO and DE algorithms. Elektronika ir Elektrotechnika, 19(10), pp.53-57.
  6. Moradi, M.H. and Abedini, M., 2012. A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems. International Journal of Electrical Power & Energy Systems, 34(1), pp.66-74.
  7. Aman, M.M., Jasmon, G.B., Bakar, A.H.A. and Mokhlis, H., 2013. A new approach for optimum DG placement and sizing based on voltage stability maximization and minimization of power losses. Energy Conversion and Management, 70, pp.202-210.
  8. Murthy, V.V.S.N. and Kumar, A., 2013. Comparison of optimal DG allocation methods in radial distribution systems based on sensitivity approaches. International Journal of Electrical Power & Energy Systems, 53, pp.450-467.
  9. Al Abri, R.S., El-Saadany, E.F. and Atwa, Y.M., 2013. Optimal placement and sizing method to improve the voltage stability margin in a distribution system using distributed generation. IEEE transactions on power systems, 28(1), pp.326-334.
  10. Aman, M.M., Jasmon, G.B., Mokhlis, H. and Bakar, A.H.A., 2012. Optimal placement and sizing of a DG based on a new power stability index and line losses. International Journal of Electrical Power