Power systems optimization under uncertainty: A review of methods and applications
Electric power systems and the companies and customers that interact with them are
experiencing increasing levels of uncertainty due to factors such as renewable energy …
experiencing increasing levels of uncertainty due to factors such as renewable energy …
Chance-constrained optimization under limited distributional information: A review of reformulations based on sampling and distributional robustness
Chance-constrained programming (CCP) is one of the most difficult classes of optimization
problems that has attracted the attention of researchers since the 1950s. In this survey, we …
problems that has attracted the attention of researchers since the 1950s. In this survey, we …
A linear programming approximation of distributionally robust chance-constrained dispatch with Wasserstein distance
This paper proposes a data-driven distributionally robust chance constrained real-time
dispatch (DRCC-RTD) considering renewable generation forecasting errors. The proposed …
dispatch (DRCC-RTD) considering renewable generation forecasting errors. The proposed …
A novel distributed cloud-fog based framework for energy management of networked microgrids
Power grid resilience, reliability, and sustainability can be improved by decomposing the
large-scale grids into the Networked Microgrids (NMGs). However, different MGs may have …
large-scale grids into the Networked Microgrids (NMGs). However, different MGs may have …
Fair operating envelopes under uncertainty using chance constrained optimal power flow
Y Yi, G Verbič - Electric Power Systems Research, 2022 - Elsevier
The significant penetration of rooftop solar photovoltaics (PV) is pushing low-voltage
distribution networks to the brink of their technical limits, which increasingly requires …
distribution networks to the brink of their technical limits, which increasingly requires …
Data-driven distributionally robust optimal power flow for distribution systems
Increasing penetration of distributed energy resources complicate operations of electric
power distribution systems by amplifying volatility of nodal power injections. On the other …
power distribution systems by amplifying volatility of nodal power injections. On the other …
Risk-aware flexible resource utilization in an unbalanced three-phase distribution network using SDP-based distributionally robust optimal power flow
The variability caused by the proliferation of distributed energy resources (DERs) and the
significant growth in unbalanced three-phase loads pose unprecedented challenges to …
significant growth in unbalanced three-phase loads pose unprecedented challenges to …
Distributionally robust negative-emission optimal energy scheduling for off-grid integrated electricity-heat microgrid
This article proposes a distributionally robust chance-constrained (DRCC) negative-
emission optimal energy scheduling scheme for the off-grid integrated electricity-heat …
emission optimal energy scheduling scheme for the off-grid integrated electricity-heat …
Inertia pricing in stochastic electricity markets
Maintaining the stability of renewable-dominant power systems requires the procurement of
virtual inertia services from non-synchronous resources (eg, batteries, wind turbines) in …
virtual inertia services from non-synchronous resources (eg, batteries, wind turbines) in …
Deliverable flexible ram** products considering spatiotemporal correlation of wind generation and demand uncertainties
Flexible ram** products (FRPs) have been implemented by several independent system
operators (ISOs) to procure adequate flexible resources. Currently, system operators …
operators (ISOs) to procure adequate flexible resources. Currently, system operators …