collaborators

8 papers

math.OC2025

Demand Charge Management: Prototype Design and Testing

Christian Escarrega, Wyatt Lopez Coggins, Sammy Hamed +2

This paper presents the design, implementation, and validation of a smart, low-cost Energy Management System (EMS) and Demand Charge Management (DCM) prototype, developed as part o…

cs.CY2025

An Automated Framework for Assessing Electric Vehicle Charging Impacts on a Campus Distribution Grid

Mohammadreza Iranpour, Sammy Hamed, Mohammad Rasoul Narimani +3

This paper introduces a unified and automated framework designed to dynamically assess the impact of electric vehicle (EV) charging on distribution feeders and transformers at Cali…

math.OC2025

Assessing EV Charging Impacts on Power Distribution Systems: A Unified Co-Simulation Framework

Mohammadreza Iranpour, Mohammad Rasoul Narimani, Xudong Jia

The growing adoption of electric vehicles (EVs) is expected to significantly increase demand on electric power distribution systems, many of which are already nearing capacity. To…

math.OC2025

Scalable Global Optimization for AC-OPF via Quadratic Convex Relaxation and Branch-and-Bound

Mohammadreza Iranpour, Mohammad Rasoul Narimani

The Optimal Power Flow (OPF) problem is central to the reliable and efficient operation of power systems, yet its non-convex nature poses significant challenges for finding globall…

math.OC2025

Analyzing the Impact of AC False Data Injection Attacks on Power System Operation

Mohammadreza Iranpour, Mohammad Rasoul Narimani

False Data Injection (FDI) attacks are a significant threat to modern power systems. Although numerous research studies have focused on FDI attacks on power systems, these studies…

eess.SY2025

Leveraging Convex Relaxation to Identify the Feasibility of Conducting AC False Data Injection Attack in Power Systems

Mohammadreza Iranpour, Mohammad Rasoul Narimani

FDI (False Data Injection) attacks are critical to address as they can compromise the integrity and reliability of data in cyber-physical systems, leading to potentially severe con…