Energy-storage modeling: State-of-the-art and future research directions

R Sioshansi, P Denholm, J Arteaga… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Given its physical characteristics and the range of services that it can provide, energy
storage raises unique modeling challenges. This paper summarizes capabilities that …

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 …

Research on power system flexibility considering uncertainties

C Yang, W Sun, D Han, X Yin - Frontiers in Energy Research, 2022 - frontiersin.org
In order to help achieve the goal of carbon peak and carbon neutrality, the large-scale
development and application of clean renewable energy, like wind generation and solar …

A survey and comparison of leading-edge uncertainty handling methods for power grid modernization

S Rahim, P Siano - Expert Systems with Applications, 2022 - Elsevier
The power grid infrastructure encounters multiple uncertainties such as unprecedented
energy generation from non-dispatchable resources, erratic load, intensifying energy …

Wasserstein distributionally robust chance-constrained optimization for energy and reserve dispatch: An exact and physically-bounded formulation

A Arrigo, C Ordoudis, J Kazempour, Z De Grève… - European Journal of …, 2022 - Elsevier
In the context of transition towards sustainable, cost-efficient and reliable energy systems,
the improvement of current energy and reserve dispatch models is crucial to properly cope …

A novel shared energy storage planning method considering the correlation of renewable uncertainties on the supply side

Q Wang, X Zhang, C Yi, Z Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The shared energy storage service provided by independent energy storage operators
(IESO) has a wide range of application prospects, but when faced with the interrelated and …

Distributionally robust chance-constrained planning for regional integrated electricity–heat systems with data centers considering wind power uncertainty

W Li, T Qian, Y Zhang, Y Shen, C Wu, W Tang - Applied Energy, 2023 - Elsevier
This paper proposed an optimal planning method for regional integrated electricity–heat
systems with data centers (DC-RIEHS) considering wind power uncertainty to reduce …

Stochastic-distributionally robust frequency-constrained optimal planning for an isolated microgrid

L Yang, H Li, H Zhang, Q Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Microgrid is a typical low-inertia system with uncertainty due to the high penetration of power
electronics and renewable energy. Therefore, it is necessary to consider the issue of …

Two-time-scale energy management for microgrids with data-based day-ahead distributionally robust chance-constrained scheduling

ZP Yuan, J **a, P Li - IEEE Transactions on Smart Grid, 2021 - ieeexplore.ieee.org
The uncertainties arising from both renewable generation and load demand have brought
challenges to the reliable and efficient operation of power systems. This paper presents a …

Distributionally robust chance constrained optimization for providing flexibility in an active distribution network

M Rayati, M Bozorg, R Cherkaoui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we propose a distributionally robust chance constrained (DRCC) optimization
problem for the operation of an active distribution network (ADN). The ADN's operator uses …