使用MIMO模糊逻辑的先进负载平衡技术：玛琅国立理工学院面板分布案例研究

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX Pub Date : 2025-02-06 DOI:10.1016/j.mex.2025.103197

Ika Noer Syamsiana, Harry Hassidiqi, Wijaya Kusuma, Anang Dasa Novfowan, Arwin Datumaya Wahyudi Sumari, Chandra Wiharya

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引用次数: 0

摘要

配电系统的不平衡问题是一个重大的挑战，需要有效的管理来确保稳定性、可靠性和安全性。负载不平衡会导致变压器和其他电气设备过热，降低其运行寿命，增加故障风险，甚至导致停电。本文采用模糊逻辑来解决这一问题，利用Sugeno模糊逻辑方法实现负载均衡。本研究的目的是为提高配电系统的效率，可靠性和可扩展性做出重大贡献，最终目标是最大限度地利用电气设备。它将促进实施更明智和适应性更强的决策过程。•模糊方法采用基于规则的3 × 3 × 3矩阵的多输入多输出（MIMO）系统。•选择Sugeno方法是因为它使用了一个常数数学函数。这种方法的优点是计算简单，可以提高系统的速度和效率。•结果表明，初始负载不平衡率为30.86%，应用负载平衡后降至5.59%，这符合IEEE标准446-1995允许最大负载不平衡率为5 - 20%的要求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Advanced load balancing techniques using MIMO fuzzy logic: A panel distribution case study at state polytechnic of Malang

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Advanced load balancing techniques using MIMO fuzzy logic: A panel distribution case study at state polytechnic of Malang

The issue of unbalance in electrical distribution systems is a significant challenge that requires effective management to ensure stability, reliability, and safety. Load imbalance can result in overheating of transformers and other electrical equipment, reducing their operational life and increasing the risk of failure, even leading to power outages.

A study employed fuzzy logic to address the problem, achieving load balancing through the utilization of the Sugeno Fuzzy Logic method. The objective of this research is to make a significant contribution to improving the efficiency, reliability, and scalability of the power distribution system, with the ultimate goal of maximizing the use of electrical equipment.

It will facilitate the implementation of more intelligent and adaptive decision-making processes. The method is as follows:

•
The fuzzy approach used a multi-input multi-output (MIMO) system with rule-base 3 × 3 × 3 matrix.
•
The Sugeno method was selected due to its utilization of a constant mathematical function. This approach offers the benefit of straightforward computation, which can enhance the system's speed and efficiency.
•
The results showed that the initial load imbalance was 30.86 %, reduced to 5.59 % after the application of load balancing, this is following the IEEE std 446–1995 which allows the maximum load imbalance percentage to be 5–20 %.

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