121 citations · 211 across the 27 of their papers we have counts for
5 papers · 1 filter
Residual Correction Models for AC Optimal Power Flow Using DC Optimal Power Flow Solutions
Muhy Eddin Za'ter, Bri-Mathias Hodge, Kyri Baker
Solving the nonlinear AC optimal power flow (AC OPF) problem remains a major computational bottleneck for real-time grid operations. In this paper, we propose a residual learning p…
Learning a Generalized Model for Substation Level Voltage Estimation in Distribution Networks
Muhy Eddin Za'ter, Bri-Mathias Hodge
Accurate voltage estimation in distribution networks is critical for real-time monitoring and increasing the reliability of the grid. As DER penetration and distribution level volt…
Computationally Efficient Analytical Models of Frequency and Voltage in Low-Inertia Systems
Marena Trujillo, Amir Sajadi, Jonathan Shaw +1
In this paper, low-order models of the frequency and voltage response of mixed-generation, low-inertia systems are presented. These models are unique in their ability to efficientl…
Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment
Muhy Eddin Za'ter, Amir Sajad, Bri-Mathias Hodge
This paper introduces a novel approach to the power system security assessment using Multi-Task Learning (MTL), and reformulating the problem as a multi-label classification task.…
Analytical Models of Frequency and Voltage in Large-Scale All-Inverter Power Systems
Marena Trujillo, Amir Sajadi, Bri-Mathias Hodge
Low-order frequency response models for power systems have a decades-long history in optimization and control problems such as unit commitment, economic dispatch, and wide-area con…