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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 …
A multilevel optimization approach for daily scheduling of combined heat and power units with integrated electrical and thermal storage
J Hu, Y Zou, N Soltanov - Expert Systems with Applications, 2024 - Elsevier
Renowned for their remarkable overall efficiencies ranging from 70% to 90%, combined
heat and power systems stand as a pivotal strategy for optimizing energy consumption by …
heat and power systems stand as a pivotal strategy for optimizing energy consumption by …
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 …
Optimal storage planning in active distribution network considering uncertainty of wind power distributed generation
M Sedghi, A Ahmadian… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The penetration of renewable distributed generation (DG) sources has been increased in
active distribution networks due to their unique advantages. However, non-dispatchable …
active distribution networks due to their unique advantages. However, non-dispatchable …
Robust energy management for microgrids with high-penetration renewables
Due to its reduced communication overhead and robustness to failures, distributed energy
management is of paramount importance in smart grids, especially in microgrids, which …
management is of paramount importance in smart grids, especially in microgrids, which …
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 …
Quasi-Monte Carlo based probabilistic optimal power flow considering the correlation of wind speeds using copula function
ZQ **e, TY Ji, MS Li, QH Wu - IEEE Transactions on Power …, 2017 - ieeexplore.ieee.org
Wind farms commonly cluster in regions rich in wind resources. Thus, correlation of wind
speeds from different wind farms should not be ignored when modeling a power system with …
speeds from different wind farms should not be ignored when modeling a power system with …
A critical review on probabilistic load flow studies in uncertainty constrained power systems with photovoltaic generation and a new approach
A power system with large integration of renewable energy based generations is inherently
associated with different types of uncertainties. In such cases, probabilistic load flow is a vital …
associated with different types of uncertainties. In such cases, probabilistic load flow is a vital …
Review of probabilistic load flow approaches for power distribution systems with photovoltaic generation and electric vehicle charging
The currently increasing penetration of photovoltaic (PV) generation and electric vehicle
(EV) charging in electricity distribution grids leads to higher system uncertainties. This …
(EV) charging in electricity distribution grids leads to higher system uncertainties. This …