A process simulation model for a proposed Moroccan supply chain of electricity

Houda Mezouar, A. El Afia
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引用次数: 5

Abstract

The short-term forecast of electricity consumption plays a vital role in the effective management of allocated resources to electricity generation. A reduction in the average forecasting error of 1% can save thousands or even millions of dirhams in an electricity generation unit. Therefore, predicting the electricity consumption is necessary to minimize costs of over or under production. The work presented in this paper aims to reduce the forecast error by focusing on the strategic level of managing electricity in Morocco. It details the actual electricity supply chain, and proposes a target one, and then it models the both, following an explained methodology, which gives us a process simulation models to be evaluated. The paper also proposes a set of indicators to be calculated in the simulation, helping thus us to compare the two supply chains.
拟建的摩洛哥电力供应链过程仿真模型
短期用电量预测对发电资源配置的有效管理起着至关重要的作用。平均预测误差减少1%可以为发电机组节省数千甚至数百万迪拉姆。因此,预测电力消耗是必要的,以尽量减少生产过剩或不足的成本。本文提出的工作旨在通过关注摩洛哥管理电力的战略层面来减少预测误差。详细介绍了实际的电力供应链,提出了一个目标供应链,然后对两者进行了建模,并给出了一个解释的方法,给出了一个过程仿真模型进行评估。本文还提出了一组在模拟中需要计算的指标,从而帮助我们对两个供应链进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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