Optimal planning in a developing industrial microgrid with sensitive loads
Computer numerical control (CNC) machines are known as sensitive loads in industrial estates. These machines require reliable and qualified electricity in their often long work periods. Supplying these loads with distributed energy resources (DERs) in a microgrid (MG) can be done as an appropriate s...
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doaj-1487b5ef13634c7b930e4022c4febdcb2020-11-24T23:46:42ZengElsevierEnergy Reports2352-48472017-11-013C12413410.1016/j.egyr.2017.08.004Optimal planning in a developing industrial microgrid with sensitive loadsM. Naderi0S. Bahramara1Y. Khayat2H. Bevrani3Smart/Micro Grids Research Center, Department of Electrical and Computer Eng., University of Kurdistan, PO Box 416, Sanandaj, IranDepartment of Electrical Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, IranSmart/Micro Grids Research Center, Department of Electrical and Computer Eng., University of Kurdistan, PO Box 416, Sanandaj, IranSmart/Micro Grids Research Center, Department of Electrical and Computer Eng., University of Kurdistan, PO Box 416, Sanandaj, IranComputer numerical control (CNC) machines are known as sensitive loads in industrial estates. These machines require reliable and qualified electricity in their often long work periods. Supplying these loads with distributed energy resources (DERs) in a microgrid (MG) can be done as an appropriate solution. The aim of this paper is to analyze the implementation potential of a real and developing MG in Shad-Abad industrial estate, Tehran, Iran. Three MG planning objectives are considered including assurance of sustainable and secure operation of CNC machines as sensitive loads, minimizing the costs of MG construction and operation, and using available capacities to penetrate the highest possible renewable energy sources (RESs) which subsequently results in decreasing the air pollutants specially carbon dioxide (CO2). The HOMER (hybrid optimization model for electric renewable) software is used to specify the technical feasibility of MG planning and to select the best plan economically and environmentally. Different scenarios are considered in this regard to determine suitable capacity of production participants, and to assess the MG indices such as the reliability.http://www.sciencedirect.com/science/article/pii/S2352484716301020MG planningCNC machineRES penetrationHOMERReliability |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
M. Naderi S. Bahramara Y. Khayat H. Bevrani |
spellingShingle |
M. Naderi S. Bahramara Y. Khayat H. Bevrani Optimal planning in a developing industrial microgrid with sensitive loads Energy Reports MG planning CNC machine RES penetration HOMER Reliability |
author_facet |
M. Naderi S. Bahramara Y. Khayat H. Bevrani |
author_sort |
M. Naderi |
title |
Optimal planning in a developing industrial microgrid with sensitive loads |
title_short |
Optimal planning in a developing industrial microgrid with sensitive loads |
title_full |
Optimal planning in a developing industrial microgrid with sensitive loads |
title_fullStr |
Optimal planning in a developing industrial microgrid with sensitive loads |
title_full_unstemmed |
Optimal planning in a developing industrial microgrid with sensitive loads |
title_sort |
optimal planning in a developing industrial microgrid with sensitive loads |
publisher |
Elsevier |
series |
Energy Reports |
issn |
2352-4847 |
publishDate |
2017-11-01 |
description |
Computer numerical control (CNC) machines are known as sensitive loads in industrial estates. These machines require reliable and qualified electricity in their often long work periods. Supplying these loads with distributed energy resources (DERs) in a microgrid (MG) can be done as an appropriate solution. The aim of this paper is to analyze the implementation potential of a real and developing MG in Shad-Abad industrial estate, Tehran, Iran. Three MG planning objectives are considered including assurance of sustainable and secure operation of CNC machines as sensitive loads, minimizing the costs of MG construction and operation, and using available capacities to penetrate the highest possible renewable energy sources (RESs) which subsequently results in decreasing the air pollutants specially carbon dioxide (CO2). The HOMER (hybrid optimization model for electric renewable) software is used to specify the technical feasibility of MG planning and to select the best plan economically and environmentally. Different scenarios are considered in this regard to determine suitable capacity of production participants, and to assess the MG indices such as the reliability. |
topic |
MG planning CNC machine RES penetration HOMER Reliability |
url |
http://www.sciencedirect.com/science/article/pii/S2352484716301020 |
work_keys_str_mv |
AT mnaderi optimalplanninginadevelopingindustrialmicrogridwithsensitiveloads AT sbahramara optimalplanninginadevelopingindustrialmicrogridwithsensitiveloads AT ykhayat optimalplanninginadevelopingindustrialmicrogridwithsensitiveloads AT hbevrani optimalplanninginadevelopingindustrialmicrogridwithsensitiveloads |
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