3 citations · 6 across the 15 of their papers we have counts for
13 papers · 1 filter
An OpenStreetMaps based tool to study the energy demand and emissions impact of electrification of medium and heavy-duty freight trucks
Nawaf Nazir, Bowen Huang, Shant Mahserejian
In this paper, we present the mathematical formulation of an OpenStreetMaps (OSM) based tool that compares the costs and emissions of long-haul medium and heavy-duty (M&HD) electri…
Improved microgrid resiliency through distributionally robust optimization under a policy-mode framework
Nawaf Nazir, Thiagarajan Ramachandaran, Soumya Kundu +1
Critical energy infrastructure are constantly understress due to the ever increasing disruptions caused by wildfires, hurricanes, other weather related extreme events and cyber-att…
Estimating Driver Response Rates to Variable Message Signage at Seattle-Tacoma International Airport
Soumya Vasisht, Shushman Choudhury, Nawaf Nazir +2
We apply Bayesian Linear Regression to estimate the response rate of drivers to variable message signs at Seattle-Tacoma International Airport, or SeaTac. Our approach uses vehicle…
Mitigating Landside Congestion at Airports through Predictive Control of Diversionary Messages
Nawaf Nazir, Soumya Vasisht, Shushman Choudhury +2
We present a data-driven control framework for adaptively managing landside congestion at airports. Ground traffic significantly impacts airport operations and critical efficiency,…
Optimal, centralized dynamic curbside parking space zoning
Nawaf Nazir, Shushman Choudhury, Stephen Zoepf +2
In this paper we formulate a dynamic mixed integer program for optimally zoning curbside parking spaces subject to transportation policy-inspired constraints and regularization ter…
Market mechanism to enable grid-aware dispatch of Aggregators in radial distribution networks
Nawaf Nazir, Mads Almassalkhi
This paper presents a market-based optimization framework wherein Aggregators can compete for nodal capacity across a distribution feeder and guarantee that allocated flexible capa…
Exploring reactive power limits on wind farm collector networks with convex inner approximations
Nawaf Nazir, Mads Almassalkhi, Ian Hiskens
A wind farm can provide reactive power at sub-transmission and transmission buses in order to support and improve voltage profiles. It is common for the reactive power capability o…
Guaranteeing a physically realizable battery dispatch without charge-discharge complementarity constraints
Nawaf Nazir, Mads Almassalkhi
The non-convex complementarity constraints present a fundamental computational challenge in energy constrained optimization problems. In this work, we present a new, linear, and ro…
Stochastic multi-period optimal dispatch of energy storage in unbalanced distribution feeders
Nawaf Nazir, Mads Almassalkhi
This paper presents a convex, multi-period, AC-feasible Optimal Power Flow (OPF) framework that robustly dispatches flexible demand-side resources in unbalanced distribution feeder…
Voltage positioning using co-optimization of controllable grid assets in radial networks
Nawaf Nazir, Mads Almassalkhi
With increasing penetration of solar PV, some distribution feeders are experiencing highly variable net-load flows and even reverse flows. To optimize distribution systems under su…
Grid-aware aggregation and realtime disaggregation of distributed energy resources in radial networks
Nawaf Nazir, Mads Almassalkhi
Dispatching a large fleet of distributed energy resources (DERs) in response to wholesale energy market or regional grid signals requires solving a challenging disaggregation probl…
Optimal multi-period dispatch of distributed energy resources in unbalanced distribution feeders
Nawaf Nazir, Pavan Racherla, Mads Almassalkhi
This paper develops an efficient algorithm for the multi-period optimal dispatch of deterministic inverter-interfaced energy storage in an unbalanced distribution feeder with signi…
Convex inner approximation of the feeder hosting capacity limits on dispatchable demand
Nawaf Nazir, Mads Almassalkhi
This paper presents a method to obtain a convex inner approximation that aims to improve the feasibility of optimal power flow (OPF) models in distribution feeders. For a resistive…