Zobrazeno 1 - 10
of 241
pro vyhledávání: '"Callaway, Duncan S."'
Autor:
Oyefeso, Oluwagbemileke E., Geller, Drew A., Granitsas, Ioannis M., Callaway, Duncan S., Mathieu, Johanna L.
Driven by the need to offset the variability of renewable generation on the grid, development of load control is a highly active field of research. However, practical use of residential loads for grid balancing remains rare, in part due to the cost o
Externí odkaz:
http://arxiv.org/abs/2411.11893
Autor:
Lara, Jose Daniel, Barrows, Clayton, Thom, Daniel, Dalvi, Sourabh, Callaway, Duncan S., Krishnamurthy, Dheepak
PowerSimulations.jl is a Julia-based BSD-licensed power system operations simulation tool developed as a flexible and open source software for quasi-static power systems simulations including Production Cost Models. PowerSimulations.jl tackles the is
Externí odkaz:
http://arxiv.org/abs/2404.03074
Autor:
Lara, Jose Daniel, Henriquez-Auba, Rodrigo, Bossart, Matthew, Callaway, Duncan S., Barrows, Clayton
In this paper we present the development of an open-source simulation toolbox, PowerSimulationsDynamics.jl, to study the dynamic response of power systems, focusing on the requirements to model systems with high penetrations of Inverter-Based Resourc
Externí odkaz:
http://arxiv.org/abs/2308.02921
Autor:
Lara, Jose Daniel, Henriquez-Auba, Rodrigo, Ramasubramanian, Deepak, Dhople, Sairaj, Callaway, Duncan S., Sanders, Seth
The changing nature of power systems dynamics is challenging present practices related to modeling and study of system-level dynamic behavior. While developing new techniques and models to handle the new modeling requirements, it is also critical to
Externí odkaz:
http://arxiv.org/abs/2301.10043
This paper presents several stability analyses for grid-forming inverters and synchronous generators considering the dynamics of transmission lines and different load models. Load models are usually of secondary importance compared to generation sour
Externí odkaz:
http://arxiv.org/abs/2212.08147
This paper examines the use of risk models to predict the timing and location of wildfires caused by electricity infrastructure. Our data include historical ignition and wire-down points triggered by grid infrastructure collected between 2015 to 2019
Externí odkaz:
http://arxiv.org/abs/2206.02930
Hybrid systems combine both discrete and continuous state dynamics. Power electronic inverters are inherently hybrid systems: they are controlled via discrete-valued switching inputs which determine the evolution of the continuous-valued current and
Externí odkaz:
http://arxiv.org/abs/2204.07539
In an effort to reduce power system-caused wildfires, utilities carry out public safety power shutoffs (PSPS) in which portions of the grid are de-energized to mitigate the risk of ignition. The decision to call a PSPS must balance reducing ignition
Externí odkaz:
http://arxiv.org/abs/2203.02861
Publikováno v:
In Electric Power Systems Research October 2024 235
We formulate an efficient approximation for multi-agent batch reinforcement learning, the approximated multi-agent fitted Q iteration (AMAFQI). We present a detailed derivation of our approach. We propose an iterative policy search and show that it y
Externí odkaz:
http://arxiv.org/abs/2104.09343