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 …
Decision making under uncertainty in energy systems: State of the art
The energy system studies include a wide range of issues from short term (eg real-time,
hourly, daily and weekly operating decisions) to long term horizons (eg planning or policy …
hourly, daily and weekly operating decisions) to long term horizons (eg planning or policy …
Model-free renewable scenario generation using generative adversarial networks
Scenario generation is an important step in the operation and planning of power systems
with high renewable penetrations. In this work, we proposed a data-driven approach for …
with high renewable penetrations. In this work, we proposed a data-driven approach for …
Review of wind power scenario generation methods for optimal operation of renewable energy systems
J Li, J Zhou, B Chen - Applied Energy, 2020 - Elsevier
Scenario generation is an effective method for addressing uncertainties in stochastic
programming for energy systems with integrated wind power. To comprehensively …
programming for energy systems with integrated wind power. To comprehensively …
An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting
G Mitrentsis, H Lens - Applied Energy, 2022 - Elsevier
PV power forecasting models are predominantly based on machine learning algorithms
which do not provide any insight into or explanation about their predictions (black boxes) …
which do not provide any insight into or explanation about their predictions (black boxes) …
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 …
Inherent spatiotemporal uncertainty of renewable power in China
Solar and wind resources are vital for the sustainable energy transition. Although renewable
potentials have been widely assessed in existing literature, few studies have examined the …
potentials have been widely assessed in existing literature, few studies have examined the …
A review on the integration of probabilistic solar forecasting in power systems
As one of the fastest growing renewable energy sources, the integration of solar power
poses great challenges to power systems due to its variable and uncertain nature. As an …
poses great challenges to power systems due to its variable and uncertain nature. As an …
Stochastic scheduling with inertia-dependent fast frequency response requirements
High penetration of wind generation will increase the requirement for fast frequency
response services as currently wind plants do not provide inertial response. Although the …
response services as currently wind plants do not provide inertial response. Although the …