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 …
Uncertainty models for stochastic optimization in renewable energy applications
With the rapid surge of renewable energy integrations into the electrical grid, the main
questions remain; how do we manage and operate optimally these surges of fluctuating …
questions remain; how do we manage and operate optimally these surges of fluctuating …
The future of forecasting for renewable energy
Forecasting for wind and solar renewable energy is becoming more important as the amount
of energy generated from these sources increases. Forecast skill is improving, but so too is …
of energy generated from these sources increases. Forecast skill is improving, but so too is …
Stochastic optimization for unit commitment—A review
Optimization models have been widely used in the power industry to aid the decision-
making process of scheduling and dispatching electric power generation resources, a …
making process of scheduling and dispatching electric power generation resources, a …
A distributionally robust optimization model for unit commitment considering uncertain wind power generation
This paper proposes a distributionally robust optimization model for solving unit commitment
(UC) problems considering volatile wind power generation. The uncertainty of wind power is …
(UC) problems considering volatile wind power generation. The uncertainty of wind power is …
Adaptive robust optimization with dynamic uncertainty sets for multi-period economic dispatch under significant wind
The exceptional benefits of wind power as an environmentally responsible renewable
energy resource have led to an increasing penetration of wind energy in today's power …
energy resource have led to an increasing penetration of wind energy in today's power …
Chance-constrained AC optimal power flow: Reformulations and efficient algorithms
L Roald, G Andersson - IEEE Transactions on Power Systems, 2017 - ieeexplore.ieee.org
Higher levels of renewable electricity generation increase uncertainty in power system
operation. To ensure secure system operation, new tools that account for this uncertainty are …
operation. To ensure secure system operation, new tools that account for this uncertainty are …
Near-optimal method for siting and sizing of distributed storage in a transmission network
Energy storage can alleviate the problems that the uncertainty and variability associated
with renewable energy sources such as wind and solar create in power systems. Besides …
with renewable energy sources such as wind and solar create in power systems. Besides …
Multistage adaptive robust optimization for the unit commitment problem
The growing uncertainty associated with the increasing penetration of wind and solar power
generation has presented new challenges to the operation of large-scale electric power …
generation has presented new challenges to the operation of large-scale electric power …
[HTML][HTML] Evaluating rotational inertia as a component of grid reliability with high penetrations of variable renewable energy
Growth of electricity generation from variable renewable resources like wind and solar has
raised questions about future grid stability. This paper used several renewable energy …
raised questions about future grid stability. This paper used several renewable energy …