184 citations · 971 across the 87 of their papers we have counts for
10 papers · 1 filter
Optimal L-Infinity Frequency Control in Microgrids Considering Actuator Saturation
Daniel Tabas, Baosen Zhang
Inverter-connected resources can improve transient stability in low-inertia grids by injecting active power to minimize system frequency deviations following disturbances. In pract…
Frequency Stability Using MPC-based Inverter Power Control in Low-Inertia Power Systems
Atinuke Ademola-Idowu, Baosen Zhang
The electrical grid is evolving from a network consisting of mostly synchronous machines to a mixture of synchronous machines and inverter-based resources such as wind, solar, and…
Mitigation of Coincident Peak Charges via Approximate Dynamic Programming
Chase P. Dowling, Baosen Zhang
A significant portion of a consumer's annual electrical costs can be made up of coincident peak charges: a transmission surcharge for power consumed when the entire system is at pe…
Scenario Forecasting of Residential Load Profiles
Ling Zhang, Baosen Zhang
Load forecasting is an integral part of power system operations and planning. Due to the increasing penetration of rooftop PV, electric vehicles and demand response applications, f…
Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks
Yize Chen, Yushi Tan, Ling Zhang +1
We study the security threats of power system operation brought by a class of data injection attacks upon load forecasting algorithms. In particular, with minimal assumptions on th…
Non-Wire Alternatives: an Additional Value Stream for Distributed Energy Resources
Jesus E. Contreras-Ocaña, Yize Chen, Uzma Siddiqi +1
Distributed energy resources (DERs) can serve as non-wire alternatives (NWAs) to capacity expansion by managing peak load to avoid or delay traditional expansion projects. However,…
No-regret Learning in Cournot Games
Yuanyuan Shi, Baosen Zhang
This paper examines the convergence of no-regret learning in Cournot games with continuous actions. Cournot games are the essential model for many socio-economic systems, where pla…
Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach
Yan Yang, Zhifang Yang, Juan Yu +1
Probabilistic power flow (PPF) plays a critical role in power system analysis. However, the high computational burden makes it challenging for the practical implementation of PPF.…
Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks
Yize Chen, Yushi Tan, Baosen Zhang
Load forecasting plays a critical role in the operation and planning of power systems. By using input features such as historical loads and weather forecasts, system operators and…
A tractable ellipsoidal approximation for voltage regulation problems
Pan Li, Baihong Jin, Ruoxuan Xiong +3
We present a machine learning approach to the solution of chance constrained optimizations in the context of voltage regulation problems in power system operation. The novelty of o…