2024 : 2 : 25
Hassan Bevrani

Hassan Bevrani

Academic rank: Professor
Education: PhD.
ScopusId: 55913436700
Faculty: Faculty of Engineering
Address: Dept. Of Electrical and Computer Eng, University of Kurdistan, Allameh Hamdi Blvd, Sanandaj PO Box 416, P. C: 66177-15175, Kurdistan, Iran
Phone: +98-87-33624001


Optimal planning in a developing industrial microgrid with sensitive loads
MG planning CNC machine; RES penetration; HOMER; Reliability;
Journal Energy Reports
Researchers Hassan Bevrani ، Yusef Khayat ، Salah Bahramara ، Mobin Naderi


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.