2 citations · 2 across the 10 of their papers we have counts for
12 papers
Structured Differentiable Optimization for Efficient Decision-focused Learning in Power Systems
Wangkun Xu, Fei Teng
Decision-focused learning (DfL) trains forecasting models to align downstream decision consequences, such as power-system operating costs. However, its application to realistic pow…
Flow-based Polynomial Chaos Expansion for Uncertainty Quantification in Power System Dynamic Simulation
Le Fang, Wangkun Xu, Fei Teng
The large-scale integration of renewable energy sources introduces significant operational uncertainty into power systems. Although Polynomial Chaos Expansion (PCE) provides an eff…
Stochastic Virtual Power Plant Dispatch via Temporally Aggregated Distributed Predictive Control with Performance Guarantees
Luca Santosuosso, Fei Teng, Sonja Wogrin
This paper addresses the energy dispatch of a virtual power plant comprising renewable generation, energy storage, and thermal units under uncertainty in renewable output, energy p…
Headroom as A Grid Service in Software-Defined Power Grids: A Peak-to-Peak Control Design Approach
Zhongda Chu, Fei Teng
To address system frequency challenges driven by the integration of renewable generation, advanced control strategies are designed at the device level to provide effective frequenc…
Learning-Augmented Power System Operations: A Unified Optimization View
Wangkun Xu, Zhongda Chu, Fei Teng
With the increasing penetration of renewable energy and inverter-based resources, traditional physics-based power-system operation faces growing challenges in maintaining economic…
Qubit-Efficient Quantum Annealing for Stochastic Unit Commitment
Wei Hong, Wangkun Xu, Fei Teng
Stochastic Unit Commitment (SUC) has been proposed to manage the uncertainties driven by renewable integration, but it leads to significant computational complexity. When accelerat…
On the Incorporation of Stability Constraints into Sequential Operational Scheduling
Wangkun Xu, Zhongda Chu, Florin Capitanescu +1
With the increasing penetration of Inverter-Based Resources (IBRs), power system stability constraints must be incorporated into the operational framework, transforming it into sta…
Efficient Sampling for Data-Driven Frequency Stability Constraint via Forward-Mode Automatic Differentiation
Wangkun Xu, Qian Chen, Pudong Ge +2
Encoding frequency stability constraints in the operation problem is challenging due to its complex dynamics. Recently, data-driven approaches have been proposed to learn the stabi…
Coordinated Planning for Stability Enhancement in High IBR-Penetrated Systems
Zhongda Chu, Fei Teng
Security and stability challenges in future power systems with high penetration Inverter-Based Resources (IBR) have been anticipated as one of the main barriers to decarbonization.…
Pricing of Short Circuit Current in High IBR-Penetrated System
Zhongda Chu, Jingyi Wu, Fei Teng
With the growing penetration of Inverter-Based Resources (IBRs) in power systems, stability service markets have emerged to incentivize technologies that ensure power system stabil…
Cyber Recovery from Dynamic Load Altering Attacks: Linking Electricity, Transportation, and Cyber Networks
Mengxiang Liu, Zhongda Chu, Fei Teng
To address the increasing vulnerability of power grids, significant attention has been focused on the attack detection and impact mitigation. However, it is still unclear how to ef…
Managing the Uncertainty in System Dynamics Through Distributionally Robust Stability-Constrained Optimization
Zhongda Chu, Fei Teng
With the increasing penetration of Inverter-Based Resources (IBRs) and their impact on power system stability and operation, the concept of stability-constrained optimization has d…