Comparison between the models of potential storage and simulation of the demand for electricity transformer (400/11) in Diyala General Company

Storage models are usually used to determine the optimal order quantity and reorder point by obtaining the lowest total cost of storage to balance the amount of production and the amount of demand for materials, but sometimes these models can not be applied, so the use of simulation is resorted to where accurate and flexible results can be relied upon, to achieve the goal of the study, which is to improve the company's storage system. This research dealt with two cases of the probabilistic storage model, where the first model was applied to the monthly demand data on one of the products of Diyala General Company, which is the distribution transformer (400|11) for the years 2019,2020,2021. The second is the probabilistic storage model by simulating demand and comparing the two models, whichever is better to reach optimal. Where the distribution of demand was found to find the average and standard deviation and apply the model to obtain the indicators of the models. Using the MATLAB program, the statistical analysis of the data was carried out and the indicators of the model were obtained.

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Publication Details

Journal
ZAC conference series.
Published
2024-10-20
DOI
https://doi.org/10.70516/zaccsssh.v1i1.19
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparison between the models of potential storage and simulation of the demand for electricity transformer (400/11) in Diyala General Company

Azhar Hussein Alwan, Abdul Moneim Kazem Hammadi, Ali Jabbar Al-Shimmari
ZAC conference series.
Energy Load and Power Forecasting
article

Comparison between the models of potential storage and simulation of the demand for electricity transformer (400/11) in Diyala General Company

Azhar Hussein Alwan, Abdul Moneim Kazem Hammadi, Ali Jabbar Al-Shimmari
article en

Abstract

Storage models are usually used to determine the optimal order quantity and reorder point by obtaining the lowest total cost of storage to balance the amount of production and the amount of demand for materials, but sometimes these models can not be applied, so the use of simulation is resorted to where accurate and flexible results can be relied upon, to achieve the goal of the study, which is to improve the company's storage system. This research dealt with two cases of the probabilistic storage model, where the first model was applied to the monthly demand data on one of the products of Diyala General Company, which is the distribution transformer (400|11) for the years 2019,2020,2021. The second is the probabilistic storage model by simulating demand and comparing the two models, whichever is better to reach optimal. Where the distribution of demand was found to find the average and standard deviation and apply the model to obtain the indicators of the models. Using the MATLAB program, the statistical analysis of the data was carried out and the indicators of the model were obtained.

ZAC conference series.Vol. 1(1)
University of Diyala (IQ)
Affordable and clean energy
Openalex Percentile: Top 84%
Energy Load and Power Forecasting
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Comparison between the models of potential storage and simulation of the demand for electricity transformer (400/11) in Diyala General Company — Azhar Hussein Alwan, Abdul Moneim Kazem Hammadi, et al. · ZAC conference series. (2024) | TGRS Research Map | TGRS