Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective
Multi-uncertainties impose enormous challenges to the optimal scheduling of power
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …
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
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 …
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
This paper discusses a bilayer coordinated operation scheme for the multi-energy building
microgrid (MEBM) with comprehensive uncertainty sources. First, a building model …
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 …
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
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 …
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
This article proposes a confidence interval based distributionally robust real-time economic
dispatch (CI-DRED) approach, which considers the risk related to accommodating wind …
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
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 …
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
This paper proposes a new distance-based distributionally robust unit commitment (DB-
DRUC) model via Kullback-Leibler (KL) divergence, considering volatile wind power …
DRUC) model via Kullback-Leibler (KL) divergence, considering volatile wind power …
Distributionally robust chance-constrained energy management for islanded microgrids
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 …
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
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 …
and reserve, a multi-stage stochastic programming model is established in this paper to …