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

Pages
199–207
Publication Date
2022-10-12
DOI
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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

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Objective & Hypothesis:Distributed generation (DG) sources are becoming more important in electrical networks due to the increase of electrical energy demands.
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Key Findings & Data:However, DG sources can have a profound effect on network power loss.
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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:Domain Parameters

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.

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Cite This Article

Taşkın, S., Fade, W., Kılıç, U. (2022). 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/472118

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