Smart grid architecture model for control, optimization and data analytics of future power networks with more renewable energy

DK Panda, S Das - Journal of Cleaner Production, 2021 - Elsevier
This paper describes a generic methodology to develop mathematical and computational
models of different components of the smart grid architecture model (SGAM). The SGAM …

Large-scale unit commitment under uncertainty: an updated literature survey

W Van Ackooij, I Danti Lopez, A Frangioni… - Annals of Operations …, 2018 - Springer
Abstract The Unit Commitment problem in energy management aims at finding the optimal
production schedule of a set of generation units, while meeting various system-wide …

Probabilistic forecasting of wind power generation using extreme learning machine

C Wan, Z Xu, P Pinson, ZY Dong… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Accurate and reliable forecast of wind power is essential to power system operation and
control. However, due to the nonstationarity of wind power series, traditional point …

Adaptive robust optimization for the security constrained unit commitment problem

D Bertsimas, E Litvinov, XA Sun… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Unit commitment, one of the most critical tasks in electric power system operations, faces
new challenges as the supply and demand uncertainty increases dramatically due to the …

Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model

Y Liu, H Qin, Z Zhang, S Pei, Z Jiang, Z Feng, J Zhou - Applied Energy, 2020 - Elsevier
Reliable and accurate probabilistic forecasting of wind speed is of vital importance for the
utilization of wind energy and operation of power systems. In this paper, a probabilistic …

Distributed energy trading in microgrids: A game-theoretic model and its equilibrium analysis

J Lee, J Guo, JK Choi… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper proposes a distributed mechanism for energy trading among microgrids in a
competitive market. We consider multiple interconnected microgrids in a region where, at a …

[HTML][HTML] Temporal collaborative attention for wind power forecasting

Y Hu, H Liu, S Wu, Y Zhao, Z Wang, X Liu - Applied Energy, 2024 - Elsevier
Wind power serves as a clean and sustainable form of energy. However, its generation is
fraught with variability and uncertainty, owing to the stochastic and dynamic characteristics …

Multistage adaptive robust optimization for the unit commitment problem

A Lorca, XA Sun, E Litvinov, T Zheng - Operations Research, 2016 - pubsonline.informs.org
The growing uncertainty associated with the increasing penetration of wind and solar power
generation has presented new challenges to the operation of large-scale electric power …

Flexible operation of batteries in power system scheduling with renewable energy

N Li, C Uckun, EM Constantinescu… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
The fast growing expansion of renewable energy increases the complexities in balancing
generation and demand in the power system. The energy-shifting and fast-ram** …

Multiarea stochastic unit commitment for high wind penetration in a transmission constrained network

A Papavasiliou, SS Oren - Operations research, 2013 - pubsonline.informs.org
In this paper we present a unit commitment model for studying the impact of large-scale wind
integration in power systems with transmission constraints and system component failures …