Adaptive model for a variable load in a distribution network using a neuro-fuzzy system

H. Espitia, Guzmán Díaz González, Susana Díaz
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引用次数: 2

Abstract

Distributed generation systems are a suitable alternative for the rational use of energy. One of important aspect in these systems corresponds to the modeling of the transmission system and its loads which are usually variable. Neuro-fuzzy systems are an alternative for modeling and control of complex systems, allowing the adaptability of their parameters using data. This article shows the modeling of a node in a distribution system considering in adaptive way the load variability during a time interval.
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配电网变负荷的神经模糊自适应模型
分布式发电系统是合理利用能源的一种合适的替代方案。在这些系统中,一个重要的方面是对通常是可变的传动系统及其负载进行建模。神经模糊系统是复杂系统建模和控制的另一种选择,允许使用数据对其参数进行适应性。本文以自适应方式考虑了某一时间段内负荷的变化,给出了配电系统节点的建模方法。
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