Basil Hamed, mohamed elhiendi
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引用次数: 1

摘要

需求侧管理技术旨在重塑客户的负荷,实现可用电力和客户需求之间的明智管理。在像GEDCO(加沙配电公司)这样的配电公司中,由于电力资源的限制和客户需求的迅速增加,负荷管理的重要性变得更加重要。本文提出了一种基于作者在Matlab中设计的算法的新技术。该技术使用历史负载最小化变压器上的最大峰值负载。数据集中器单元记录历史负载,这些历史负载用于预测客户负载并在每个指定时间段限制客户最大功率。为了证明该算法的有效性,将该算法与C. Jaishankar、P. Subburaj和B. V. Manikandan设计的模糊控制器进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Management of Customers Loads on a Transformer using Data Concentrator Unit
Demand side management techniques aimed to reshape the loads of the customers, to achieve a wise management between available power and customer demands.In Distribution companies as GEDCO (Gaza Electricity Distribution Corporation), the importance of Load management becomes more substantial, because of the limitation of electricity resources and the rapid increase in customer demands.This paper presents a new technique based on an algorithm designed by the authors using Matlab. This technique minimizes the maximum peak loads on a transformer using the historical loads.The data concentrator unit records the historical loads, these historical loads are used to predict customer loads and limit customer maximum power in each specified period.To demonstrate the effectiveness of the proposed algorithm, the algorithm compared with a fuzzy controller that is designed by C. Jaishankar, P. Subburaj, and B. V. Manikandan.
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