Ancíllary Servíces

1953 ◽  
Vol 4 (1) ◽  
pp. 6-a-7
Keyword(s):  
Ancillary Services

A power management and control strategy with grid-ancillary services for a microgrid based on DC Bus

2014 ◽  
Vol 9 (4) ◽  
pp. 792 ◽  
Author(s):  
Anna Pinnarelli ◽  
Giuseppe Barone ◽  
Giovanni Brusco ◽  
Alessandro Burgio ◽  
Daniele Menniti ◽  
...  
Keyword(s):  
Power Management ◽  
Control Strategy ◽  
Ancillary Services ◽  
Dc Bus ◽  
And Control

Distributed Generation Units as Ancillary Services Providers in a Pre Smart Grid Environment

2015 ◽  
Vol 9 (1) ◽  
pp. 432-444
Author(s):  
Clainer Bravin Donadel ◽  
Jussara Farias Fardin ◽  
Lucas Frizera Encarnação
Keyword(s):  
Smart Grid ◽  
Distributed Generation ◽  
Ancillary Services ◽  
Grid Environment

scholarly journals Demonstration of Man in the Middle Attack on a Commercial Photovoltaic Inverter Providing Ancillary Services

2020 ◽  
Author(s):  
Georgios Tertytchny ◽  
Hazem Karbouj ◽  
Lenos Hadjidemetriou ◽  
Charalambos Charalambous ◽  
Maria K. Michael ◽  
...  
Keyword(s):  
Ancillary Services ◽  
Man In The Middle

scholarly journals Adaptive Variable Synthetic Inertia from a Virtual Synchronous Machine Providing Ancillary Services for an AC MicroGrid

2020 ◽  
Vol 53 (2) ◽  
pp. 12968-12973
Author(s):  
Filipe Perez ◽  
Gilney Damm ◽  
Françoise Lamnabhi-Lagarrigue ◽  
Paulo Ribeiro ◽  
Renato Monaro
Keyword(s):  
Synchronous Machine ◽  
Ancillary Services ◽  
Virtual Synchronous Machine ◽  
Ac Microgrid

scholarly journals Sizing and Management of Energy Storage Systems in Large-Scale Power Plants Using Price Control and Artificial Intelligence

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3296
Author(s):  
Carlos García-Santacruz ◽  
Luis Galván ◽  
Juan M. Carrasco ◽  
Eduardo Galván
Keyword(s):  
Energy Storage ◽  
Power Plants ◽  
Large Scale ◽  
Storage Systems ◽  
Renewable Energy Sources ◽  
Ancillary Services ◽  
Energy Sources ◽  
Energy Storage Systems ◽  
Electric System ◽  
Fundamental Part

Energy storage systems are expected to play a fundamental part in the integration of increasing renewable energy sources into the electric system. They are already used in power plants for different purposes, such as absorbing the effect of intermittent energy sources or providing ancillary services. For this reason, it is imperative to research managing and sizing methods that make power plants with storage viable and profitable projects. In this paper, a managing method is presented, where particle swarm optimisation is used to reach maximum profits. This method is compared to expert systems, proving that the former achieves better results, while respecting similar rules. The paper further presents a sizing method which uses the previous one to make the power plant as profitable as possible. Finally, both methods are tested through simulations to show their potential.

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