Power systems optimization under uncertainty: A review of methods and applications

LA Roald, D Pozo, A Papavasiliou, DK Molzahn… - Electric Power Systems …, 2023 - Elsevier
Electric power systems and the companies and customers that interact with them are
experiencing increasing levels of uncertainty due to factors such as renewable energy …

A critical survey of integrated energy system: Summaries, methodologies and analysis

D Song, W Meng, M Dong, J Yang, J Wang… - Energy Conversion and …, 2022 - Elsevier
With a rapid growth of Integrated Energy System (IES) in various scenarios, researches on
IES have attracted extensive attention in the last few decades. Inspired by the ever …

A state-of-the-art on production planning in Industry 4.0

D Luo, S Thevenin, A Dolgui - International Journal of Production …, 2023 - Taylor & Francis
The Industry 4.0 revolution is changing the manufacturing landscape. A broad set of new
technologies emerged (including software and connected equipment) that digitise …

Distributionally robust chance-constrained approximate AC-OPF with Wasserstein metric

C Duan, W Fang, L Jiang, L Yao… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Chance constrained optimal power flow (OPF) has been recognized as a promising
framework to manage the risk from variable renewable energy (VRE). In the presence of …

A geometric approach to aggregate flexibility modeling of thermostatically controlled loads

L Zhao, W Zhang, H Hao, K Kalsi - IEEE Transactions on Power …, 2017 - ieeexplore.ieee.org
Coordinated aggregation of a large population of thermostatically controlled loads (TCLs)
presents a great potential to provide various ancillary services to the grid. One of the key …

Distributionally robust optimal dispatch in the power system with high penetration of wind power based on net load fluctuation data

H Yang, R Liang, Y Yuan, B Chen, S **ang, J Liu… - Applied Energy, 2022 - Elsevier
The power system with high penetration of wind power faces a great challenge for system
dispatch due to the high volatility and intermittency of the wind power. This work proposes a …

A distributionally robust optimization model for unit commitment based on Kullback–Leibler divergence

Y Chen, Q Guo, H Sun, Z Li, W Wu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper proposes a new distance-based distributionally robust unit commitment (DB-
DRUC) model via Kullback-Leibler (KL) divergence, considering volatile wind power …

Aggregate operation model for numerous small-capacity distributed energy resources considering uncertainty

Z Yi, Y Xu, W Gu, L Yang, H Sun - IEEE Transactions on Smart …, 2021 - ieeexplore.ieee.org
Numerous small-capacity distributed energy resources (DERs) pose technical challenges
and increase the management complexity for power system operators. This article proposes …

Distributionally robust chance-constrained energy management for islanded microgrids

Z Shi, H Liang, S Huang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
With the development of smart grid, energy management becomes critical for reliable and
efficient operation of power systems. In this paper, we develop a chance-constrained energy …

Distributionally robust frequency constrained scheduling for an integrated electricity-gas system

L Yang, Y Xu, J Zhou, H Sun - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
Power systems are shifted from conventional bulk generation toward renewable generation.
This trend leads to the frequency security problem due to the decline of system inertia. On …