Power systems optimization under uncertainty: A review of methods and applications

LA Roald, D Pozo, A Papavasiliou, DK Molzahn… - Electric Power Systems …, 2023 - Elsevier
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 …

Decision making under uncertainty in energy systems: State of the art

A Soroudi, T Amraee - Renewable and Sustainable Energy Reviews, 2013 - Elsevier
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 …

Model-free renewable scenario generation using generative adversarial networks

Y Chen, Y Wang, D Kirschen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

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 …

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) …

A distributionally robust optimization model for unit commitment considering uncertain wind power generation

P Xiong, P Jirutitijaroen, C Singh - IEEE Transactions on Power …, 2016 - ieeexplore.ieee.org
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 …

Adaptive robust optimization with dynamic uncertainty sets for multi-period economic dispatch under significant wind

A Lorca, XA Sun - IEEE Transactions on Power Systems, 2014 - ieeexplore.ieee.org
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 …

Inherent spatiotemporal uncertainty of renewable power in China

J Wang, L Chen, Z Tan, E Du, N Liu, J Ma… - Nature …, 2023 - nature.com
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 …

A review on the integration of probabilistic solar forecasting in power systems

B Li, J Zhang - Solar Energy, 2020 - Elsevier
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 …

Stochastic scheduling with inertia-dependent fast frequency response requirements

F Teng, V Trovato, G Strbac - IEEE Transactions on Power …, 2015 - ieeexplore.ieee.org
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 …