[HTML][HTML] Power system restoration with large renewable Penetration: State-of-the-Art and future trends

K Liang, H Wang, D Pozo, V Terzija - … Journal of Electrical Power & Energy …, 2024 - Elsevier
The catastrophic blackout events and ever-increasing penetration of renewable power
generation highlight an advanced restoration strategy to effectively and reliably employ …

Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand …

Y Li, M Han, M Shahidehpour, J Li, C Long - Applied Energy, 2023 - Elsevier
A community integrated energy system (CIES) is an important carrier of the energy internet
and smart city in geographical and functional terms. Its emergence provides a new solution …

A structuring review on multi-stage optimization under uncertainty: Aligning concepts from theory and practice

H Bakker, F Dunke, S Nickel - Omega, 2020 - Elsevier
While methods for optimization under uncertainty have been studied intensely over the past
decades, the explicit consideration of the interplay between uncertainty and time has gained …

Optimal energy management for multi-microgrid under a transactive energy framework with distributionally robust optimization

Y Cao, D Li, Y Zhang, Q Tang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
The increasing penetrations of renewable energy and electric vehicles bring more
uncertainties and challenges to the existing power grid. The coordinated networked …

Multi-stage distributionally robust stochastic dual dynamic programming to multi-period economic dispatch with virtual energy storage

T Ding, X Zhang, R Lu, M Qu… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
A virtual energy storage (VES) model is proposed in this paper to accommodate renewable
energy under a special market regulation. Such VESs can provide or consume electricity to …

Optimal integration of electrolysis, gasification and reforming for stable hydrogen production

M Zhu, X Ai, J Fang, K Wu, L Zheng, L Wei… - Energy Conversion and …, 2023 - Elsevier
Engineering industries such as petroleum and petrochemicals have strict requirements for
the stability of hydrogen supply to ensure the safety and reliability of system operations …

Chance-constrained co-optimization for day-ahead generation and reserve scheduling of cascade hydropower–variable renewable energy hybrid systems

J Zhang, C Cheng, S Yu, H Su - Applied Energy, 2022 - Elsevier
The rapid development of variable renewable energy (VRE), such as wind and solar energy,
has stimulated the complementary operation of VRE with flexible cascade hydropower …

Data-driven adaptive robust unit commitment under wind power uncertainty: A Bayesian nonparametric approach

C Ning, F You - IEEE Transactions on Power Systems, 2019 - ieeexplore.ieee.org
This paper proposes a novel data-driven adaptive robust optimization (ARO) framework for
the unit commitment (UC) problem integrating wind power into smart grids. By leveraging a …

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 …

Switch opening and exchange method for stochastic distribution network reconfiguration

J Zhan, W Liu, CY Chung, J Yang - IEEE Transactions on Smart …, 2020 - ieeexplore.ieee.org
The purpose of distribution network reconfiguration (DNR) is to determine the optimal
topology of an electricity distribution network, which is an efficient measure to reduce …