4 citations · 4 across the 5 of their papers we have counts for
6 papers · 1 filter
Designing Sparse AC False Data Injection Attack
Mohammadreza Iranpour, Mohammad Rasoul Narimani
False Data Injection (FDI) attacks pose significant threats by manipulating measurement data, leading to incorrect state estimation. Although numerous studies have focused on desig…
Investigating the Impact of Electric Vehicle Charging Loads on CSUN's Electric Grid
Daniel Garcia Aguilar, Logan DeHay, Jahn Aquino +6
This paper examines the impact of electric vehicle (EV) charging stations on the capacity of distribution feeders and transformers within the electric grid at California State Univ…
Generalized Contingency Analysis Based on Graph Theory and Line Outage Distribution Factor
Mohammad Rasoul Narimani, Hao Huang, Amarachi Umunnakwe +4
Identifying the multiple critical components in power systems whose absence together has severe impact on system performance is a crucial problem for power systems known as (N-x) c…
Tightening QC Relaxations of AC Optimal Power Flow Problems via Complex Per Unit Normalization
Mohammad Rasoul Narimani, Daniel K. Molzahn, Mariesa L. Crow
Optimal power flow (OPF) is a key problem in power system operations. OPF problems that use the nonlinear AC power flow equations to accurately model the network physics have inher…
An Efficient Scenario-based Stochastic Energy Management of Distribution Networks with Distributed Generation, PV Module, and Energy Storage
Mohammad Rasoul Narimani, Ali Azizivahed, Ehsan Naderi
Incorporating Renewable Energy Sources (RES) incurs a high level of uncertainties to electric power systems. This level of uncertainties makes the conventional energy management me…
Empirical Investigation of Non-Convexities in Optimal Power Flow Problems
Mohammad Rasoul Narimani, Daniel K. Molzahn Dan Wu, Mariesa L. Crow
Optimal power flow (OPF) is a central problem in the operation of electric power systems. An OPF problem optimizes a specified objective function subject to constraints imposed by…