6 papers
Neural Two-Stage Stochastic Volt-VAR Optimization for Three-Phase Unbalanced Distribution Systems with Network Reconfiguration
Zhentong Shao, Jingtao Qin, Nanpeng Yu
The increasing integration of intermittent distributed energy resources (DERs) has introduced significant variability in distribution networks, posing challenges to voltage regulat…
A Neural Column-and-Constraint Generation Method for Solving Two-Stage Stochastic Unit Commitment
Zhentong Shao, Jingtao Qin, Nanpeng Yu
Two-stage stochastic unit commitment (2S-SUC) problems have been widely adopted to manage the uncertainties introduced by high penetrations of intermittent renewable energy resourc…
Neural Two-Stage Stochastic Optimization for Solving Unit Commitment Problem
Zhentong Shao, Jingtao Qin, Nanpeng Yu
This paper proposes a neural stochastic optimization method for efficiently solving the two-stage stochastic unit commitment (2S-SUC) problem under high-dimensional uncertainty sce…
A Spatio-Temporal Graph Learning Approach to Real-Time Economic Dispatch with Multi-Transmission-Node DER Aggregation
Zhentong Shao, Jingtao Qin, Xianbang Chen +1
The integration of distributed energy resources (DERs) into wholesale electricity markets, as mandated by FERC Order 2222, imposes new challenges on system operations. To remain co…
Stochastic Long-Term Joint Decarbonization Planning for Power Systems and Data Centers: A Case Study in PJM
Zhentong Shao, Nanpeng Yu, Daniel Wong
With the rapid growth of artificial intelligence (AI) and cloud services, data centers have become critical infrastructures driving digital economies, with increasing energy demand…
Carbon-Aware Optimal Power Flow with Data-Driven Carbon Emission Tracing
Zhentong Shao, Nanpeng Yu
Quantifying locational carbon emissions in power grids is crucial for implementing effective carbon reduction strategies for customers relying on electricity. This paper presents a…