[HTML][HTML] Distributionally robust optimization: A review on theory and applications
In this paper, we survey the primary research on the theory and applications of
distributionally robust optimization (DRO). We start with reviewing the modeling power and …
distributionally robust optimization (DRO). We start with reviewing the modeling power and …
Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages
C Chen, X Wu, Y Li, X Zhu, Z Li, J Ma, W Qiu, C Liu… - Applied Energy, 2021 - Elsevier
The optimal scheduling of park-level integrated energy system can improve the efficiency of
energy utilization and promote the consumption level of renewable energy. However, the …
energy utilization and promote the consumption level of renewable energy. However, the …
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 …
development and application of clean renewable energy, like wind generation and solar …
Distributionally robust joint chance-constrained dispatch for integrated transmission-distribution systems via distributed optimization
This paper focuses on the distributionally robust dispatch for integrated transmission-
distribution (ITD) systems via distributed optimization. Existing distributed algorithms usually …
distribution (ITD) systems via distributed optimization. Existing distributed algorithms usually …
Three-phase unbalanced distribution network dynamic reconfiguration: A distributionally robust approach
The active distribution network has witnessed an increasing penetration of distributed
generation (DG) while the stochasticity and variability arising from DGs also impose …
generation (DG) while the stochasticity and variability arising from DGs also impose …
A Wasserstein metric-based distributionally robust optimization approach for reliable-economic equilibrium operation of hydro-wind-solar energy systems
Hydro-wind-solar integrated operation is a promising way to balance the growing amount of
variable renewable energy (RE) and enhance energy utilization efficiency. This study …
variable renewable energy (RE) and enhance energy utilization efficiency. This study …
Wasserstein metric-based two-stage distributionally robust optimization model for optimal daily peak shaving dispatch of cascade hydroplants under renewable …
The integration of large-scale weather-dependent renewable energy (RE) changes how
power grids operate, particularly for peak shaving dispatch. This paper uses flexible …
power grids operate, particularly for peak shaving dispatch. This paper uses flexible …
Tractable convex approximations for distributionally robust joint chance-constrained optimal power flow under uncertainty
Uncertainty arising from renewable energy results in considerable challenges in optimal
power flow (OPF) analysis. Various chance-constrained approaches are proposed to …
power flow (OPF) analysis. Various chance-constrained approaches are proposed to …
Data-driven distributionally robust timetabling and dynamic-capacity allocation for automated bus systems with modular vehicles
The collaborative design of the timetable and dynamic-capacity allocation plan of emerging
modular vehicles (MVs) is a promising solution to the mismatch between supply and …
modular vehicles (MVs) is a promising solution to the mismatch between supply and …
Two-stage self-scheduling of battery swapping station in day-ahead energy and frequency regulation markets
C Wu, X Lin, Q Sui, Z Wang, Z Feng, Z Li - Applied Energy, 2021 - Elsevier
Battery swapping stations (BSS) face two major problems in the frequency regulation
market: 1) battery degradation cost with the effect of regulation, and 2) the uncertainties in …
market: 1) battery degradation cost with the effect of regulation, and 2) the uncertainties in …