Uncertainty handling techniques in power systems: A critical review
Integration of renewable generations with electrical power systems has gained considerable
attention in recent years due to environmental and economic benefits. However, this …
attention in recent years due to environmental and economic benefits. However, this …
[HTML][HTML] Existing approaches and trends in uncertainty modelling and probabilistic stability analysis of power systems with renewable generation
The analysis of power systems with a significant share of renewable generation using
probabilistic tools is essential to appropriately consider the impact that the variability and …
probabilistic tools is essential to appropriately consider the impact that the variability and …
Privacy-preserving spatiotemporal scenario generation of renewable energies: A federated deep generative learning approach
Scenario generation is a fundamental and crucial tool for decision-making in power systems
with high-penetration renewables. Based on big historical data, in this article, a novel …
with high-penetration renewables. Based on big historical data, in this article, a novel …
Data-driven scenario generation of renewable energy production based on controllable generative adversarial networks with interpretability
W Dong, X Chen, Q Yang - Applied Energy, 2022 - Elsevier
Efficient and reliable scenario generation is of paramount importance in the modeling of
uncertainties and fluctuations of wind and solar based renewable energy production for …
uncertainties and fluctuations of wind and solar based renewable energy production for …
Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network
S Han, Y Qiao, J Yan, Y Liu, L Li, Z Wang - Applied energy, 2019 - Elsevier
The accurate estimation of mid-to-long term wind and photovoltaic power generation is
important to the power grid's plan improvement, dispatching optimization, management …
important to the power grid's plan improvement, dispatching optimization, management …
Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects
M Di Somma, G Graditi, E Heydarian-Forushani… - Renewable energy, 2018 - Elsevier
A distributed energy resource (DER) system is a multi-input and multi-output energy system
consisting of small-scale technologies, which provide electricity and thermal energy close to …
consisting of small-scale technologies, which provide electricity and thermal energy close to …
Reliability constraint stochastic UC by considering the correlation of random variables with Copula theory
D Yu, N Ghadimi - IET Renewable power generation, 2019 - Wiley Online Library
This essay performs a reliability constraint stochastic model for unit commitment problem by
considering generation and transmission constraints with high wind penetration and …
considering generation and transmission constraints with high wind penetration and …
Distributionally robust optimal dispatch in the power system with high penetration of wind power based on net load fluctuation data
H Yang, R Liang, Y Yuan, B Chen, S Xiang, J Liu… - Applied Energy, 2022 - Elsevier
The power system with high penetration of wind power faces a great challenge for system
dispatch due to the high volatility and intermittency of the wind power. This work proposes a …
dispatch due to the high volatility and intermittency of the wind power. This work proposes a …
A novel deep learning based probabilistic power flow method for Multi-Microgrids distribution system with incomplete network information
With the massive deployment of microgrids (MGs) and energy communities, various
stakeholders have been involved in distribution networks. Due to the underdeveloped …
stakeholders have been involved in distribution networks. Due to the underdeveloped …
Towards 100% renewable energy systems: Uncapping power system flexibility
G Papaefthymiou, K Dragoon - Energy Policy, 2016 - Elsevier
Relying almost entirely on energy from variable renewable resources such as wind and
solar energy will require a transformation in the way power systems are planned and …
solar energy will require a transformation in the way power systems are planned and …