activity
20142022
most citedPower System Dispatch with Marginal Degradation Cost of Battery Storage

54 citations · 129 across the 16 of their papers we have counts for

collaborators

17 papers

eess.SY2022

EVs and ERCOT: Future Adoption Scenarios and Grid Implications

Kelsey Nelson, Pedro Moura, Javad Mohammadi

Electric vehicles (EVs) are becoming more commonplace in Texas, mainly due to their increasing attractiveness to consumers and pushes from the state's governing bodies to incentivi…

eess.SY2022★ 27 cited

Learning to Solve Optimization Problems with Hard Linear Constraints

Meiyi Li, Soheil Kolouri, Javad Mohammadi

Constrained optimization problems appear in a wide variety of challenging real-world problems, where constraints often capture the physics of the underlying system. Classic methods…

eess.SY2022

Mapping Disruption Sources in the Power Grid and Implications for Resilience

Maureen S. Golan, Javad Mohammadi

Developing models and metrics that can address resilience against disruptions is vital to ensure power grid reliability and that adequate recovery and adaptation mechanisms are in…

eess.SY2022★ 13 cited

Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time

Meiyi Li, Yuhan Du, Javad Mohammadi +3

Linear approximations of the AC power flow equations are of great significance for the computational efficiency of large-scale optimal power flow (OPF) problems. Put differently, t…

cs.LG2022★ 3 cited

Teaching Networks to Solve Optimization Problems

Xinran Liu, Yuzhe Lu, Ali Abbasi +3

Leveraging machine learning to facilitate the optimization process is an emerging field that holds the promise to bypass the fundamental computational bottleneck caused by classic…

cs.DC2020

Connecting Distributed Pockets of EnergyFlexibility through Federated Computations:Limitations and Possibilities

Javad Mohammadi, Jesse Thornburg

Electric grids are traditionally operated as multi-entity systems with each entity managing a geographical region. Interest and demand for decarbonization and energy democratizatio…

eess.SY2020

Sharing Mobile and Stationary Energy Storage Resources in Transactive Energy Communities

Pedro Moura, Uday Sriram, Javad Mohammadi

Most power systems are increasingly based on distributed energy resources, leading to a strong impact on the electrical grid management. In the case of Portugal, the contribution o…

eess.SY2020

Hybrid Learning Aided Inactive Constraints Filtering Algorithm to Enhance AC OPF Solution Time

Fouad Hasan, Amin Kargarian, Javad Mohammadi

The Optimal power flow (OPF) problem contains many constraints. However, equality constraints along with a limited set of active inequality constraints encompass sufficient informa…

math.OC2020★ 2 cited

Computationally Efficient Solutions for Large-Scale Security-Constrained Optimal Power Flow

Mohammadhafez Bazrafshan, Kyri Baker, Javad Mohammadi

In this paper, we discuss our approach and algorithmic framework for solving large-scale security constrained optimal power flow (SCOPF) problems. SCOPF is a mixed integer non-conv…

cs.DC2020

CarnegiePLUG: Prosumer-in-the-Loop simUlation Grid

Juye Kim, Carolyn Goodman, Javad Mohammadi

This paper introduces Carnegie Mellon campus-wide CarnegiePLUG test-bed. This test-bed in a hardware-in-the-loop simulator that enables large-scale sensing, computation and actuati…

eess.SY2020

Management of Electric Vehicles as Flexibility Resource for Optimized Integration of Renewable Energy with Large Buildings

Pedro Moura, Greta Yu, Javad Mohammadi

The increasing penetration of renewable generation requires new tools to achieve a high matching between demand and renewable generation at building and community levels. Large com…

physics.soc-ph2020

Linking Parking and Electricity Values to Unlock Potentials of Electric Vehicles in Portuguese Buildings

Pedro Moura, Greta K. W. Yu, Shubham Sarkar +1

Large parking lots in public and commercial buildings are increasingly installing the required infrastructure for serving Electric Vehicles (EVs). Utilizing charging and dischargin…

cs.AI2019

Leveraging Decentralized Artificial Intelligence to Enhance Resilience of Energy Networks

Ahmed Imteaj, M. Hadi Amini, Javad Mohammadi

This paper reintroduces the notion of resilience in the context of recent issues originated from climate change triggered events including severe hurricanes and wildfires. A recent…

math.OC2019★ 54 cited

Power System Dispatch with Marginal Degradation Cost of Battery Storage

Guannan He, Soummya Kar, Javad Mohammadi +2

Battery storage is essential for the future smart grid. The inevitable cell degradation renders the battery lifetime volatile and highly dependent on battery dispatch, and thus inc…

eess.SY2018

Fully Distributed Cooperative Charging for Plug-in Electric Vehicles in Constrained Power Networks

M. Hadi Amini, Javad Mohammadi, Soummya Kar

Plug-in Electric Vehicles (PEVs) play a pivotal role in transportation electrification. The flexible nature of PEVs' charging demand can be utilized for reducing charging cost as w…

eess.SY2016

A Fully Distributed Approach for Plug-in Electric Vehicle Charging

Javad Mohammadi, Marina Gonzalez Vaya, Soummya Kar +1

Plug-in electric vehicles (PEVs) are considered as flexible loads since their charging schedules can be shifted over the course of a day without impacting drivers mobility. This pr…

math.OC2014★ 30 cited

Distributed Approach for DC Optimal Power Flow Calculations

Javad Mohammadi, Soummya Kar, Gabriela Hug

The trend in the electric power system is to move towards increased amounts of distributed resources which suggests a transition from the current highly centralized to a more distr…