36 citations · 103 across the 28 of their papers we have counts for
28 papers
Effect of startup modes on cold start performance of PEM fuel cells with different cathode flow fields
Wenzhe Zhang, Xingxiao Tao, Qifeng Li +4
Proton Exchange Membrane Fuel Cell (PEMFC) is widely recognized for its cleanliness and high efficiency, but is still facing challenges in cold environments. At low temperatures, t…
PROMETHEE-based Modeling of Endogenous Behavioral Uncertainty of EV Owners
Dipayan Sarkar, Qifeng Li
The electric vehicle (EV) charging demands (CD) are jointly determined by the EV owners' behavior (i.e., human factor) and the electricity prices (i.e., decisions of distribution s…
A Data-embedded Solution Paradigm for Nonconvex Probable Event Constrained Optimization
Qifeng Li
This paper introduces a new modeling framework for optimization under uncertainty, called Probable Event Constrained Optimization (PECO). Unlike conventional chance-constrained for…
Effects of gas diffusion layer thickness on PEM fuel cells with composite foam-rib flow fields
Wei Gao, Qifeng Li, Kai Sun +3
Gas diffusion layers (GDLs) play a crucial role for the performance of proton exchange membrane fuel cells (PEMFCs). The utilization of composite foam-rib flow fields (CFRFFs) can…
Mass transfer and water management in proton exchange membrane fuel cells with a composite foam-rib flow field
Wei Gao, Qifeng Li, Kai Sun +3
Mass transfer capability of reactants and hydrothermal management is important for the performance and durability of proton exchange membrane fuel cells. In the conventional rib fl…
Real-time Optimization for Wind-to-H2 Driven Critical Infrastructures Based on Active Constraints Identification and Integer Variables Prediction
Mostafa Goodarzi, Qifeng Li
This paper proposes a concept of wind-to-hydrogen-driven critical infrastructure (W2H-CI) as an engineering solution for decarbonizing the power generation sector where it utilizes…
Micro Energy-Water-Hydrogen Nexus: Data-driven Real-time Optimal Operation
Mostafa Goodarzi, Qifeng Li
This paper extends a new concept of energy-water-hydrogen (EWH) nexus, which was recently developed as a solution for reducing carbon emissions from the generation side of power sy…
Economic Viability of the Energy-Water-Hydrogen Nexus for Power System Decarbonization
Mostafa Goodarzi, Qifeng Li
This paper aims to evaluate the economic viability of the energy-water-hydrogen (EWH) nexus as a new solution for reducing carbon emissions from power systems. The urgency around c…
Real-time Optimization for Wind-to-H2 Driven Critical Infrastructures: High-fidelity Active Constraints and Integer Variables Prediction Enhanced by Feature Space Expansion
Mostafa Goodarzi, Qifeng Li
This paper focuses on developing a real-time optimal operation model for a new engineering system, wind-to-hydrogen-driven low-carbon critical infrastructure (W2H-LCCI), that utili…
A Novel Decentralized Algorithm for Coordinating the Optimal Power and Traffic Flows with EVs based on Variable Inner Loop Selection
Santosh Sharma, Qifeng Li
The electric power distribution network (PDN) and the transportation network (TN) are generally operated/coordinated by different entities. However, they are coupled with each othe…
Stochastic Economic Dispatch Considering Demand Response and Endogenous Uncertainty
Nasrin Bayat, Qifeng Li, Joon-Hyuk Park
This paper considers endogenous uncertainty (EnU) in the stochastic economic dispatch (SED) problem, where the endogenous uncertainty means decision dependent uncertainty. In this…
Probable Event Constrained Optimization and A Data-embedded Solution Paradigm
Qifeng Li
This paper solves a new class of optimization problems under uncertainty, called Probable Event Constrained Optimization (PECO), which optimizes an objective function of decision v…
Security-Constrained Optimal Operation of Energy-Water Nexus based on a Fast Contingency Filtering Method
Mostafa Goodarzi, Qifeng Li
Water and power systems are increasingly interdependent due to the growing number of electricity-driven water facilities. The security of one system can be affected by a contingenc…
Optimal Operation of Power Systems with Energy Storage under Uncertainty: A Scenario-based Method with Strategic Sampling
Ren Hu, Qifeng Li
The multi-period dynamics of energy storage (ES), intermittent renewable generation and uncontrollable power loads, make the optimization of power system operation (PSO) challengin…
Efficient Solution Strategy for Chance-Constrained Optimal Power Flow based on FAST and Data-driven Convexification
Ren Hu, Qifeng Li
The uncertainty of multiple power loads and renewable energy generations (PLREG) in power systems increases the complexity of power flow analysis for decision-makers. The chance-co…
Probability Distribution-free General Scenario Programming
Qifeng Li
This paper presents a novel solution paradigm of general optimization under both exogenous and endogenous uncertainties. This solution paradigm consists of a probability distributi…
Fast Security Evaluation for Operation of Water Distribution Systems Against Extreme Conditions
Mostafa Goodarzi, Dan Wu, Qifeng Li
This paper defines a security injection region (SIR) to guarantee reliable operation of water distribution systems (WDS) under extreme conditions. The model of WDSs is highly nonli…
Achieving Disaster-Resilient Distribution Systems via Emergency Response Resources: A Practical Approach
Santosh Sharma, Qifeng Li, Qiuhua Huang +1
This paper presents a practical approach to utilizing emergency response resources (ERRs) and post-disaster available distributed energy resources (PDA-DERs) to improve the resilie…
Uncertainty-aware Three-phase Optimal Power Flow based on Data-driven Convexification
Qifeng Li
This paper presents a novel optimization framework of formulating the three-phase optimal power flow that involves uncertainty. The proposed uncertainty-aware optimization (UaO) fr…
Ensemble learning based linear power flow
Ren Hu, QiFeng Li
This paper develops an ensemble learning-based linearization approach for power flow, which differs from the network-parameter based direct current (DC) power flow or other extende…
Ensemble Learning Based Convex Approximation of Three-Phase Power Flow
Ren Hu, Qifeng Li, Feng Qiu
Though the convex optimization has been widely used in power systems, it still cannot guarantee to yield a tight (accurate) solution to some problems. To mitigate this issue, this…
Mathematical Models for Optimization of Grid-Integrated Energy Storage Systems
Chiebuka Eyisi, Ameena Saad Al-Sumaiti, Konstantin Turitsyn +1
Energy storage has been proven to yield positive effects on planning, operation and control of electric grids. It has become a crucial task to properly model the energy storage sys…
Stability-constrained Optimization for Nonlinear Systems based on Convex Lyapunov Functions
Qifeng Li, Konstantin Turitsyn
This paper presents a novel scalable framework to solve the optimization of a nonlinear system with differential algebraic equation (DAE) constraints that enforce the asymptotic st…
Micro Water-Energy Nexus: Optimal Demand-Side Management and Quasi-Convex Hull Relaxation
Qifeng Li, Suhyoun Yu, Ameena S. Al-Sumaiti +1
This paper investigates the water network's potential ability to provide demand response services to the power grid under the framework of a distribution-level water-energy nexus (…