activity
20172021
most citedModeling A Micro-Nexus of Water and Energy for Smart Villages/Cities/Buildings

6 citations · 11 across the 8 of their papers we have counts for

collaborators

14 papers

eess.SY2022

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…

eess.SY20212 cited

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…

math.OC2021

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…

eess.SY2021

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…

eess.SY20201 cited

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…

math.OC2020

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…