Zobrazeno 1 - 10
of 628
pro vyhledávání: '"Palensky, P."'
This paper presents a confidence level-based distributionally information gap decision theory (CL-DIGDT) framework for the two-stage robust optimal operation of distribution networks, aiming at deriving an optimal operational scheme capable of addres
Externí odkaz:
http://arxiv.org/abs/2411.10166
The integration of distributed energy resources (DER) has escalated the challenge of voltage magnitude regulation in distribution networks. Traditional model-based approaches, which rely on complex sequential mathematical formulations, struggle to me
Externí odkaz:
http://arxiv.org/abs/2411.00995
Publikováno v:
ISGT 2024
Fault ride-through capability studies of MMC-HVDC connected wind power plants have focused primarily on the DC link and onshore AC grid faults. Offshore AC faults, mainly asymmetrical faults have not gained much attention in the literature despite be
Externí odkaz:
http://arxiv.org/abs/2409.16743
Electricity Consumption Profiles (ECPs) are crucial for operating and planning power distribution systems, especially with the increasing numbers of various low-carbon technologies such as solar panels and electric vehicles. Traditional ECP modeling
Externí odkaz:
http://arxiv.org/abs/2408.08399
Autor:
Hou, Shengren, Gao, Shuyi, Xia, Weijie, Duque, Edgar Mauricio Salazar, Palensky, Peter, Vergara, Pedro P.
Deep Reinforcement Learning (DRL) presents a promising avenue for optimizing Energy Storage Systems (ESSs) dispatch in distribution networks. This paper introduces RL-ADN, an innovative open-source library specifically designed for solving the optima
Externí odkaz:
http://arxiv.org/abs/2408.03685
High-resolution time series data are crucial for operation and planning in energy systems such as electrical power systems and heating systems. However, due to data collection costs and privacy concerns, such data is often unavailable or insufficient
Externí odkaz:
http://arxiv.org/abs/2407.13538
Optimizing operational set points for modular multilevel converters (MMCs) in Multi-Terminal Direct Current (MTDC) transmission systems is crucial for ensuring efficient power distribution and control. This paper presents an enhanced Optimal Power Fl
Externí odkaz:
http://arxiv.org/abs/2406.14251
Autor:
Diaz-Londono, Cesar, Orfanoudakis, Stavros, Vergara, Pedro P., Palensky, Peter, Ruiz, Fredy, Gruosso, Giambattista
Integrating electric vehicles (EVs) into the power grid can revolutionize energy management strategies, offering both challenges and opportunities for creating a more sustainable and resilient grid. In this context, model predictive control (MPC) eme
Externí odkaz:
http://arxiv.org/abs/2405.11963
Residential Load Profile (RLP) generation and prediction are critical for the operation and planning of distribution networks, especially as diverse low-carbon technologies (e.g., photovoltaic and electric vehicles) are increasingly adopted. This pap
Externí odkaz:
http://arxiv.org/abs/2405.02180
The energy sector's digital transformation brings mutually dependent communication and energy infrastructure, tightening the relationship between the physical and the digital world. Digital twins (DT) are the key concept for this. This paper initiall
Externí odkaz:
http://arxiv.org/abs/2404.02568