184 citations · 971 across the 87 of their papers we have counts for
7 papers · 1 filter
Power Flow as Intersection of Circles: A new Fixed Point Method
Kishan Prudhvi Guddanti, Yang Weng, Baosen Zhang
The power flow (PF) problem is a fundamental problem in power system engineering. Many popular solvers face challenges, such as convergence issues. One can try to rewrite the PF pr…
Optimal Design of Virtual Inertia and Damping Coefficients for Virtual Synchronous Machines
Atinuke Ademola-Idowu, Baosen Zhang
Increased penetration of inverter-connected renewable energy sources (RES) in the power system has resulted in a decrease in available rotational inertia which serves as an immedia…
Optimal Control Via Neural Networks: A Convex Approach
Yize Chen, Yuanyuan Shi, Baosen Zhang
Control of complex systems involves both system identification and controller design. Deep neural networks have proven to be successful in many identification tasks, however, from…
A Capacity-Price Game for Uncertain Renewables Resources
Pan Li, Shreyas Sekar, Baosen Zhang
Renewable resources are starting to constitute a growing portion of the total generation mix of the power system. A key difference between renewables and traditional generators is…
Real-Time Prediction of the Duration of Distribution System Outages
Aaron Jaech, Baosen Zhang, Mari Ostendorf +1
This paper addresses the problem of predicting duration of unplanned power outages, using historical outage records to train a series of neural network predictors. The initial dura…
Tractable and Robust Modeling of Building Flexibility Using Coarse Data
Jesus E. Contreras-Ocaña, Miguel A. Ortega-Vazquez, Daniel Kirschen +1
Controllable building loads have the potential to increase the flexibility of power systems. A key step in developing effective and attainable load control policies is modeling the…
Bayesian Renewables Scenario Generation via Deep Generative Networks
Yize Chen, Pan Li, Baosen Zhang
We present a method to generate renewable scenarios using Bayesian probabilities by implementing the Bayesian generative adversarial network~(Bayesian GAN), which is a variant of g…