Kazem Mazlumi

Dr. Kazem Mazlumi

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

View All Publications
19 June 2019 in IEEE Transactions on Smart Grid
Verified
Journal Article
Closed access
ASArash Shabani
Arash Shabani
KMKazem Mazlumi
Kazem Mazlumi

5 September 2018 in IET Generation, Transmission & Distribution
Verified
Journal Article
Open access
PDF file
MZMohsen Ghalei Monfared Zanjani
Mohsen Ghalei Monfared Zanjani
KMKazem Mazlumi
Kazem Mazlumi
IKInnocent Kamwa
Innocent Kamwa
This study proposes a new application of micro‐phasor measurement units (µPMUs) for adaptive coordination of overcurrent relays in microgrids. Mis‐coordination of overcurrent relays usually arising from the variation of relays fault current and it can cause damage to equipment of network and raise operating costs. Fault current injection and direction to microgrid are highly dependent on network uncertainties; therefore, fault current is affected by line and power plant outages. This study proposes an algorithm to detect these uncertainties in online operation. Then, microgrid overcurrent relays coordination is optimised again. Uncertainties are line and power plant outages in transmission network and microgrid side and two distinct methods are used for each. For online detection of uncertainties in the transmission side, it is assumed that a µPMU is installed between transmission network and microgrid point of common coupling; so, the topology changes such as line outage is detected by monitoring of Thevenin impedance estimation that is obtained by µPMU measurements. Uncertainties detection in a microgrid is done by signals that are sent by µPMUs and installed all over the microgrid. All data are gathered and analysed in phasor data concentrators and then overcurrent relays coordination is updated with such changes.

1 June 2019 in Applied Soft Computing
Verified
Journal Article
Closed access
Ali AbdaliAli Abdali
Ali Abdali
KMKazem Mazlumi
Kazem Mazlumi
RNReza Noroozian
Reza Noroozian

1 March 2020 in Applied Soft Computing
Verified
Journal Article
Closed access
SGSeyyed Mohammad Ebrahim Ghadiri
Seyyed Mohammad Ebrahim Ghadiri
KMKazem Mazlumi
Kazem Mazlumi

1 May 2010
Verified
Conference Paper
Closed access
ARAhmad Rohani
Ahmad Rohani
KMKazem Mazlumi
Kazem Mazlumi
HKHossein Kord
Hossein Kord
This paper shows the way to design the aspects of a hybrid power system that will target remote users. It emphasizes the renewable hybrid power system to obtain a reliable autonomous system with the optimization of the components size and the improvement of the capital cost. The system can provide electricity for a remote located village. The main power of the hybrid system comes from the photovoltaic panels and wind generators, while the fuel cell and batteries are used as backup units. The optimization software used for this paper is HOMER. HOMER is a design model that determines the optimal architecture and control strategy of the hybrid system. The simulation results indicate that the proposed hybrid system would be a feasible solution for distributed generation of electric power for stand-alone applications at remote locations.

1 January 2019 in International Journal of Electrical Power & Energy Systems
Verified
Journal Article
Closed access
Ali AbdaliAli Abdali
Ali Abdali
RNReza Noroozian
Reza Noroozian
KMKazem Mazlumi
Kazem Mazlumi