Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective

H Qiu, W Gu, P Liu, Q Sun, Z Wu, X Lu - Energy, 2022 - Elsevier
Multi-uncertainties impose enormous challenges to the optimal scheduling of power
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …

Short term wholesale electricity market designs: A review of identified challenges and promising solutions

L Silva-Rodriguez, A Sanjab, E Fumagalli… - … and Sustainable Energy …, 2022 - Elsevier
The electricity market is being increasingly challenged by new trends, such as the high
penetration of intermittent renewables and the transformation of the consumers' energy …

Stochastic-weighted robust optimization based bilayer operation of a multi-energy building microgrid considering practical thermal loads and battery degradation

Z Li, L Wu, Y Xu, X Zheng - IEEE Transactions on Sustainable …, 2021 - ieeexplore.ieee.org
This paper discusses a bilayer coordinated operation scheme for the multi-energy building
microgrid (MEBM) with comprehensive uncertainty sources. First, a building model …

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 …

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 …

Confidence interval based distributionally robust real-time economic dispatch approach considering wind power accommodation risk

P Li, M Yang, Q Wu - IEEE Transactions on Sustainable Energy, 2020 - ieeexplore.ieee.org
This article proposes a confidence interval based distributionally robust real-time economic
dispatch (CI-DRED) approach, which considers the risk related to accommodating wind …

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 …

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 …

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 …

Multi-stage stochastic programming to joint economic dispatch for energy and reserve with uncertain renewable energy

R Lu, T Ding, B Qin, J Ma, X Fang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
To address the uncertain renewable energy in the day-ahead optimal dispatch of energy
and reserve, a multi-stage stochastic programming model is established in this paper to …