Purpose

The purpose of the paper is to develop a simple, efficient and robust power flow (PF) method for ill-conditioned distribution networks (DNs).

Design/methodology/approach

It first formulates the PF problem as an optimization problem of minimizing the node power mismatches, while treating the corrections of node voltages as problem variables and then uses soccer game optimization (SGO), an artificial intelligent algorithm simulating the behavior of soccer game players in scoring goals, in solving the formulated PF problem.

Findings

It studies the performances of the developed method on four standard test DNs and exhibits that the method is superior in respect of accuracy, robustness and computational speed than those of existing methods.

Originality/value

It suggests a novel and new PF method using SGO and portrays that the proposed method is as accurate as any other PF method, robust like non-Newton type of PF methods and faster than Newton type of PF methods.

中文翻译：

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基于足球游戏优化的配电网潮流

目的

本文的目的是为病态配电网（DN）开发一种简单，有效且鲁棒的潮流（PF）方法。

设计/方法/方法

它首先将PF问题公式化为使节点功率失配最小化的优化问题，同时将节点电压的校正作为问题变量，然后使用足球游戏优化（SGO），这是一种模拟足球运动员得分行为的人工智能算法目标，解决公式化的PF问题。

发现

它研究了所开发方法在四个标准测试DN上的性能，并表明该方法在准确性，鲁棒性和计算速度方面比现有方法优越。

创意/价值

它提出了一种使用SGO的新颖的PF方法，并描绘了所提出的方法与任何其他PF方法一样准确，鲁棒（如非Newton类型的PF方法）并且比Newton类型的PF方法更快。