Amirreza Naderipour

Dr. Amirreza Naderipour

Universiti Teknologi Malaysia

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 July 2021 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
ANAmirreza Naderipour
Amirreza Naderipour
ZAZulkurnain Abdul-Malek
Zulkurnain Abdul-Malek
IDIraj Faraji Davoodkhani
Iraj Faraji Davoodkhani
HKHesam Kamyab
Hesam Kamyab
RARoshafima Rasit Ali
Roshafima Rasit Ali

14 January 2021 in Clean Technologies and Environmental Policy
Verified
Journal Article
Closed access
PDF file
ANAmirreza Naderipour
Amirreza Naderipour
ZAZulkurnain Abdul-Malek
Zulkurnain Abdul-Malek
RARai Naveed Arshad
Rai Naveed Arshad
HKHesam Kamyab
Hesam Kamyab
SCShreeshivadasan Chelliapan
Shreeshivadasan Chelliapan
JTJalal Tavalaei
Jalal Tavalaei

7 April 2021 in Applied Sciences
Verified
Journal Article
Open access
PDF file
MAMohammad Reza Ansari
Mohammad Reza Ansari
SPSasan Pirouzi
Sasan Pirouzi
MKMostafa Kazemi
Mostafa Kazemi
ANAmirreza Naderipour
Amirreza Naderipour
Mohamed BenbouzidMohamed Benbouzid
Mohamed Benbouzid
This paper presents a method for coordinated network expansion planning (CNEP) in which the difference between the total cost and the flexibility benefit is minimized. In the proposed method, the generation expansion planning (GEP) of wind farms is coordinated with the transmission expansion planning (TEP) problem by using energy storage systems (ESSs) to improve network flexibility. To consider the impact of the reactive power in the CNEP problem, the AC power flow model is used. The CNEP constraints include the AC power flow equations, planning constraints of the different equipment, and the system operating limits. Therefore, this model imposes hard nonlinearity onto the problem, which is linearized by the use of first-order Taylor’s series and the big-M method as well as the linearization of the circular plane. The uncertainty of loads, the energy price, and the wind farm generation are modeled by scenario-based stochastic programming (SBSP). To determine the effectiveness of the proposed solution approach, it is tested on the IEEE 6-bus and 24-bus test systems using GAMS software.

1 February 2020 in Energy
Verified
Journal Article
Closed access
ANAmirreza Naderipour
Amirreza Naderipour
ZAZulkurnain Abdul-Malek
Zulkurnain Abdul-Malek
Foad H. GandomanFoad H. Gandoman
Foad H. Gandoman
SNsaber arabi nowdeh
saber arabi nowdeh
MSMohsen Aghazadeh Shiran
Mohsen Aghazadeh Shiran
Iraj Faraji DavoudkhaniIraj Faraji Davoudkhani
Iraj Faraji Davoudkhani

1 June 2021 in Energy
Verified
Journal Article
Closed access
XLXing-Min Lin
Xing-Min Lin
NKNatalia Kireeva
Natalia Kireeva
ATAnton Timoshin
Anton Timoshin
ANAmirreza Naderipour
Amirreza Naderipour
ZAZulkurnain Abdul-Malek
Zulkurnain Abdul-Malek
HKHesam Kamyab
Hesam Kamyab

1 July 2021 in Applied Soft Computing
Verified
Journal Article
Closed access
ANAmirreza Naderipour
Amirreza Naderipour
ZAZulkurnain Abdul-Malek
Zulkurnain Abdul-Malek
MMMohd Wazir Bin Mustafa
Mohd Wazir Bin Mustafa
Josep M. GuerreroJosep M. Guerrero
Josep M. Guerrero