Reviews on Load Flow Methods in Electric Distribution Networks

Abstract In power system studies, load flow (LF) analysis is one of the most crucial tools. It is the most important and required method of looking at issues with power system design and operation. A series of nonlinear algebraic equations make up the LF issue, which needs to be mathematically solved by iterative numerical methods. In the current modern distribution systems (DSs) field, the most significant criterion that is heavily influenced by the DS’s size—which keeps growing—is the convergence of the solution. This paper gives readers an overview of recent research that has used both classical and artificial intelligence-based methods to handle LF-related issues with particular attention to DSs. The impacts of high R/X ratio of DSs along with various load models are discussed. Various standard and non-standard test feeders used for investigating LF algorithms are addressed. It also offers suggestions for future paths for this field of study. The types of examined LF problems are used to categorize the surveyed literature.

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Publication Details

Journal
Archives of Computational Methods in Engineering
Published
2024-10-17
DOI
https://doi.org/10.1007/s11831-024-10191-7
Citations
9
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
1.88

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article

Reviews on Load Flow Methods in Electric Distribution Networks

Attia A. El‐Fergany
9 citations
Archives of Computational Methods in Engineering
Optimal Power Flow Distribution
1.88
article

Reviews on Load Flow Methods in Electric Distribution Networks

Attia A. El‐Fergany
article en
9 citations

Abstract

Abstract In power system studies, load flow (LF) analysis is one of the most crucial tools. It is the most important and required method of looking at issues with power system design and operation. A series of nonlinear algebraic equations make up the LF issue, which needs to be mathematically solved by iterative numerical methods. In the current modern distribution systems (DSs) field, the most significant criterion that is heavily influenced by the DS’s size—which keeps growing—is the convergence of the solution. This paper gives readers an overview of recent research that has used both classical and artificial intelligence-based methods to handle LF-related issues with particular attention to DSs. The impacts of high R/X ratio of DSs along with various load models are discussed. Various standard and non-standard test feeders used for investigating LF algorithms are addressed. It also offers suggestions for future paths for this field of study. The types of examined LF problems are used to categorize the surveyed literature.

Archives of Computational Methods in EngineeringVol. 32(3)
Zagazig University (EG)
Science and Technology Development Fund, Zagazig University
Openalex Percentile: Top 14%
Optimal Power Flow Distribution
1.88
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Reviews on Load Flow Methods in Electric Distribution Networks — Attia A. El‐Fergany · Archives of Computational Methods in Engineering (2024) | TGRS Research Map | TGRS