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Flexible operation of low-inertia power systems connected via high voltage direct current interconnectors
The replacement of conventional synchronous generators with converter-interfaced
generation units calls for increased amounts of flexibility. This paper proposes a novel …
generation units calls for increased amounts of flexibility. This paper proposes a novel …
Probabilistic generation model for optimal allocation of wind DG in distribution systems with time varying load models
Abstract Renewable energy-based Distributed Generation (DG) is the most imperative part
of modern power system and offers many potential benefits. To attain maximum benefits …
of modern power system and offers many potential benefits. To attain maximum benefits …
Implementation of advanced functionalities for Distribution Management Systems: Load forecasting and modeling through Artificial Neural Networks ensembles
Electric power systems are undergoing significant changes in all sectors at all voltage levels.
The growing penetration of Renewable Energy Resources (RES), the liberalization of …
The growing penetration of Renewable Energy Resources (RES), the liberalization of …
Reliability assessment of microgrids with local and mobile generation, time-dependent profiles, and intraday reconfiguration
In this paper, the notion of reliability assessment for distribution system applications is
revisited to include a number of practices emerging in the smart grid context. The information …
revisited to include a number of practices emerging in the smart grid context. The information …
Probabilistic generation model of solar irradiance for grid connected photovoltaic systems using weibull distribution
Around the world, countries are integrating photovoltaic generating systems to the grid to
support climate change initiatives. However, solar power generation is highly uncertain due …
support climate change initiatives. However, solar power generation is highly uncertain due …
Data consistency for data-driven smart energy assessment
G Chicco - Frontiers in big Data, 2021 - frontiersin.org
In the smart grid era, the number of data available for different applications has increased
considerably. However, data could not perfectly represent the phenomenon or process …
considerably. However, data could not perfectly represent the phenomenon or process …
Energy storage behind-the-meter with renewable generators: Techno-economic value of optimal imbalance management
V Trovato, B Kantharaj - International Journal of Electrical Power & Energy …, 2020 - Elsevier
There is a growing body of evidence that energy storage systems can provide significant
flexibility to the electricity grid. This study introduces a system comprising an energy storage …
flexibility to the electricity grid. This study introduces a system comprising an energy storage …
A time-of-use-based residential electricity demand model for smart grid applications
F Bizzozero, G Gruosso… - 2016 IEEE 16th …, 2016 - ieeexplore.ieee.org
In a smart grid viewpoint, modeling residential energy demand profiles could be useful in
various analyzes: the impacts of different technologies and policies can be indeed assessed …
various analyzes: the impacts of different technologies and policies can be indeed assessed …
Probabilistic optimal power dispatch in multi-carrier networked microgrids under uncertainties
A microgrid (MG) is a small-scale version of the power system which makes possible the
integration of renewable resources as well as achieving maximum demand side …
integration of renewable resources as well as achieving maximum demand side …
Probabilistic generation model for grid connected wind DG
The uncertainty associated with renewable energy sources, particularly wind, makes them
an unpredictable means of power generation. To guarantee continuous and reliable power …
an unpredictable means of power generation. To guarantee continuous and reliable power …