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Profile
Jianqiang Cheng
Associate Professor, Systems and Industrial Engineering | Member of the Graduate Faculty
Systems and Industrial Engr
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Research
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Collaboration
(22)
Daniel Apai
Mutual work: 1 Proposal
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John Schaibley
Mutual work: 2 Proposals
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Yao-jan Wu
Mutual work: 7 Proposalsīš1 Grant
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Lisa O'Neill
Mutual work: 2 Proposals
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Jian Liu
Mutual work: 3 Proposals
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Grants
(7)
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Publications
(40)
Recent
DC-Link Capacitance Design for Cascaded H-Bridge STATCOM With Sum of Squares Formulation
2024
capacitance,
formulation
Asymptotically Tight Conic Approximations for Chance-Constrained AC Optimal Power Flow
2022
power systems,
optimization,
probability,
mathematical modeling,
energy markets
Submodule Capacitor Sizing for Cascaded H-Bridge STATCOM with Sum of Squares Formulation
2022
power systems,
renewable energy,
control systems,
electric grid,
statistical analysis
Data-Driven Chance-Constrained Planning for Distributed Generation: A Partial Sampling Approach
2022
distributed generation,
data-driven planning,
chance-constrained,
partial sampling,
risk management
Chance-constrained optimization-based solar microgrid design and dispatch for radial distribution networks
2021
solar energy,
microgrid,
optimization,
distribution networks,
renewable energy
Resilient NdFeB magnet recycling under the impacts of COVID-19 pandemic: Stochastic programming and Benders decomposition
2021
magnet recycling,
covid-19 impact,
stochastic programming,
benders decomposition,
ndfeb magnet
Computationally Efficient Approximations for Distributionally Robust Optimization under Moment and Wasserstein Ambiguity
2021
optimization,
robustness,
approximations,
ambiguity,
computational efficiency
Data-Driven Robust Optimization Using Scenario-Induced Uncertainty Sets
2021
robust optimization,
data-driven,
scenario-induced,
uncertainty sets,
data analysis
Data-Driven Planning for Renewable Distributed Generation Integration
2020
renewable energy,
data analysis,
energy planning,
distributed generation,
integration
Computationally Efficient Approximations for Distributionally Robust Optimization
2020
optimization,
robustness,
approximations,
computation,
distribution
