Energy storage system for grid connection and island operation

2016 ◽  
Author(s):  
Rodrigo A. Alexandre ◽  
Sonia F. Pinto ◽  
Joao J. Santana
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Grid Connection

Static Switch Activation Algorithm for Energy Storage System Grid-Connection and Disconnection

2020 ◽  
pp. 49-63
Author(s):  
M. Jebali-Ben Ghorbal ◽  
M. Ben Said-Romdhane ◽  
J. Arbi-Ziani ◽  
S. Skander-Mustapha ◽  
I. Slama-Belkhodja
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Grid Connection ◽  
Switch Activation

scholarly journals Local Energy Storage and Stochastic Modeling for Ultrafast Charging Stations

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1986 ◽  
Author(s):  
Yorick Ligen ◽  
Heron Vrubel ◽  
Hubert Girault
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Optimum Number ◽  
Local Energy ◽  
Medium Voltage ◽  
Charging Station ◽  
Grid Connection ◽  
Business Cases ◽  
Charging Stations

Multi-stall fast charging stations are often thought to require megawatt-range grid connections. The power consumption profile of such stations results in high cost penalties due to monthly power peaks and expensive linkage fees. A local energy storage system (ESS) can be used to address peak power demands. However, no appropriate sizing method is available to match specific constraints, such as the contracted power available from the grid and the projected recharging demand. A stochastic distribution of charging events was used in this paper to model power demand profiles at the station, with a one minute resolution. Based on 100 simulated months, we propose an optimum number of charging points, and we developed an algorithm to return the required local ESS capacity as a function of the available grid connection. The role of ESSs in the range of 100 kWh to 1 MWh was studied for all stations with up to 2000 charging events per week. The relevance of ESS implementation was assessed along three parameters: the number of charging points, the available grid connection, and the ESS capacity. This work opens new possibilities for multi-stall charging station deployment in locations with limited access to the medium voltage grid, and provides sizing guidelines for effective ESSs implementation. In addition, it helps build business cases for charging station operators in regions with high demand charges.

scholarly journals Analysis Utilizing AI Techniques for Optimum Performance At The Low Tension And The High Tension Line In BESS

2021 ◽  
pp. 11-18
Author(s):  
Ajay kumar Gupta ◽  
Jyoti Bansal
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Electrical Energy ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Grid Connection ◽  
High Tension ◽  
Battery Energy ◽  
Economic Constraints ◽  
Low Tension

It has been a requisite for humanity to live since the electricity invented around an early 1900s. According to the electrical energy sector's economic constraints, power must be employed as quickly as practical after it is generated. Because storing large amounts of electrical energy is prohibitively expensive. However, as energy storage material becomes more accessible, dispersed production becomes more viable, especially with the Smart Grid concept.In this paper, we use the MATLAB - SIMULINK platform to investigate a battery energy storage system (BESS). We used an effective algorithm, which is really a part of artificial intelligence (AI), to develop a controller for a converter system.The research focused on the low tension line (regional loads) and the high tension line (HV) after the grid connection, where the framework also compels the electrical desire and reactive loads.

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