13 citations · 30 across the 13 of their papers we have counts for
13 papers
Stochastic Uncertainty Propagation in Power System Dynamics using Measure-valued Proximal Recursions
Abhishek Halder, Kenneth F. Caluya, Pegah Ojaghi +1
We present a proximal algorithm that performs a variational recursion on the space of joint probability measures to propagate the stochastic uncertainties in power system dynamics…
Two-stage Robust Energy Storage Planning with Probabilistic Guarantees: A Data-driven Approach
Chao Yan, Xinbo Geng, Zhaohong Bie +1
This paper addresses a central challenge of jointly considering shorter-term (e.g. hourly) and longer-term (e.g. yearly) uncertainties in power system planning with increasing pene…
Deferrable Load Scheduling under Demand Charge: A Block Model-Predictive Control Approach
Lei Yang, Xinbo Geng, Xiaohong Guan +1
Optimal scheduling of deferrable electrical loads can reshape the aggregated load profile to achieve higher operational efficiency and reliability. This paper studies deferrable lo…
Probabilistic Hosting Capacity Analysis via Bayesian Optimization
Xinbo Geng, Lang Tong, Anirban Bhattacharya +2
This paper studies the probabilistic hosting capacity analysis (PHCA) problem in distribution networks considering uncertainties from distributed energy resources (DERs) and reside…
Chance-constrained Unit Commitment via the Scenario Approach
Xinbo Geng, Le Xie
Keeping the balance between supply and demand is a fundamental task in power system operational planning practices. This task becomes particularly challenging due to the deepening…
Computing Essential Sets for Convex and Non-convex Scenario Problems: Theory and Application
Xinbo Geng, Le Xie, M. Sadegh Modarresi
The scenario approach is a general data-driven algorithm to chance-constrained optimization. It seeks the optimal solution that is feasible to a carefully chosen number of scenario…
Data-driven Decision Making with Probabilistic Guarantees (Part 2): Applications of Chance-constrained Optimization in Power Systems
Xinbo Geng, Le Xie
Uncertainties from deepening penetration of renewable energy resources have posed critical challenges to the secure and reliable operations of future electric grids. Among various…
Data-driven Decision Making with Probabilistic Guarantees (Part 1): A Schematic Overview of Chance-constrained Optimization
Xinbo Geng, Le Xie
Uncertainties from deepening penetration of renewable energy resources have posed critical challenges to the secure and reliable operations of future electric grids. Among various…
Robust Look-ahead Three-phase Balancing of Uncertain Distribution Loads
Xinbo Geng, Swati Gupta, Le Xie
Increasing penetration of highly variable components such as solar generation and electric vehicle charging loads pose significant challenges to keeping three-phase loads balanced…
Optimal Power Consumption for Demand Response of Thermostatically Controlled Loads
Abhishek Halder, Xinbo Geng, Fernando A. C. C. Fontes +2
We consider the problem of determining the optimal aggregate power consumption of a population of thermostatically controlled loads. This is motivated by the problem of synthesizin…
Architecture and Algorithms for Privacy Preserving Thermal Inertial Load Management by A Load Serving Entity
Abhishek Halder, Xinbo Geng, P. R. Kumar +1
Motivated by the growing importance of demand response in modern power system's operations, we propose an architecture and supporting algorithms for privacy preserving thermal iner…
Learning the LMP-Load Coupling From Data: A Support Vector Machine Based Approach
Xinbo Geng, Le Xie
This paper investigates the fundamental coupling between loads and locational marginal prices (LMPs) in security-constrained economic dispatch (SCED). Theoretical analysis based on…
Mean Field Games in Nudge Systems for Societal Networks
Jian Li, Bainan Xia, Xinbo Geng +4
We consider the general problem of resource sharing in societal networks, consisting of interconnected communication, transportation, energy and other networks important to the fun…