scholarly journals Review of Energy Storage Systems in Regenerative Braking Energy Recovery in DC Electrified Urban Railway Systems: Converter Topologies, Control Methods & Future Prospects

2021 ◽  
Author(s):  
DANLAMI SADIQ
Keyword(s):  
Energy Storage ◽  
Urban Areas ◽  
Storage Systems ◽  
Control Strategies ◽  
Lithium Ion ◽  
Regenerative Braking ◽  
Control Methods ◽  
Energy Storage Systems ◽  
Comprehensive Review ◽  
Railway Systems

<p>Electrified urban railway systems are large consumers of energy in urban areas and thus, there is a need for energy saving measures in this transportation sector. Recuperation of train’s regenerative braking energy (RBE) is one of the best ways for attaining high levels of energy efficiency in this area. Energy Storage Systems (ESSs) prove to be the most practical and viable solution for maximizing the RBE utilization in urban railway systems. In the existing related reviews of ESSs, few papers covered the review of ESS technologies or converter interface. However, a comprehensive review is needed in this regard. This paper discusses an overview of urban railway electrification, and detail review for the three ESS components – ESS Technologies, Bidirectional DC-DC Converters (BDCs), and Controller Unit. This study concludes that among the storage technologies, supercapacitor ESS appears to be the most suitable followed by Lithium-ion batteries and flywheels. For BDC, cascaded BDC is the most suitable followed by dual active bridge. For control methods, fuzzy logic and artificial intelligent are recommended among other control strategies. Thus, the key contribution of this paper is the comprehensive review and analyses of the ESS’s components in the recovery of RBE in urban railways. </p>

scholarly journals Review of Energy Storage Systems in Regenerative Braking Energy Recovery in DC Electrified Urban Railway Systems: Converter Topologies, Control Methods & Future Prospects

2021 ◽  
Author(s):  
DANLAMI SADIQ
Keyword(s):  
Energy Storage ◽  
Urban Areas ◽  
Storage Systems ◽  
Control Strategies ◽  
Lithium Ion ◽  
Regenerative Braking ◽  
Control Methods ◽  
Energy Storage Systems ◽  
Comprehensive Review ◽  
Railway Systems

<p>Electrified urban railway systems are large consumers of energy in urban areas and thus, there is a need for energy saving measures in this transportation sector. Recuperation of train’s regenerative braking energy (RBE) is one of the best ways for attaining high levels of energy efficiency in this area. Energy Storage Systems (ESSs) prove to be the most practical and viable solution for maximizing the RBE utilization in urban railway systems. In the existing related reviews of ESSs, few papers covered the review of ESS technologies or converter interface. However, a comprehensive review is needed in this regard. This paper discusses an overview of urban railway electrification, and detail review for the three ESS components – ESS Technologies, Bidirectional DC-DC Converters (BDCs), and Controller Unit. This study concludes that among the storage technologies, supercapacitor ESS appears to be the most suitable followed by Lithium-ion batteries and flywheels. For BDC, cascaded BDC is the most suitable followed by dual active bridge. For control methods, fuzzy logic and artificial intelligent are recommended among other control strategies. Thus, the key contribution of this paper is the comprehensive review and analyses of the ESS’s components in the recovery of RBE in urban railways. </p>

scholarly journals A Comprehensive Review of Hybrid Energy Storage Systems: Converter Topologies, Control Strategies and Future Prospects

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 148702-148721 ◽  
Author(s):  
Thanikanti Sudhakar Babu ◽  
Krishnakumar R. Vasudevan ◽  
Vigna K. Ramachandaramurthy ◽  
Suleiman Bala Sani ◽  
Sansubari Chemud ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Control Strategies ◽  
Future Prospects ◽  
Energy Storage Systems ◽  
Comprehensive Review ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Converter Topologies

scholarly journals Lithium-Ion Capacitor - Advanced Technology for Rechargeable Energy Storage Systems

2013 ◽  
Vol 6 (3) ◽  
pp. 484-494
Author(s):  
N. Omar ◽  
J. Ronsmans ◽  
Yousef Firozu ◽  
Mohamed Monem ◽  
A. Samba ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Lithium Ion ◽  
Advanced Technology ◽  
Energy Storage Systems ◽  
Lithium Ion Capacitor

scholarly journals A Predictive Control Strategy for Energy Management in Micro-Grid Systems

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1666
Author(s):  
Abdellatif Elmouatamid ◽  
Radouane Ouladsine ◽  
Mohamed Bakhouya ◽  
Najib El kamoun ◽  
Khalid Zine-Dine
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Predictive Control ◽  
Energy Production ◽  
Storage Systems ◽  
Control Strategies ◽  
Renewable Energy Sources ◽  
Energy Storage Systems ◽  
Control Approach ◽  
Variable Nature

The integration of renewable energy sources (RES) was amplified, during the past decades, in order to tackle the challenges related to energy demands and CO2 increases. Recently, many initiatives have been taken by promoting the deployment and the usage of micro-grids (MG) in buildings, as decentralized systems, for energy production. However, the variable nature of RESs and the limited size of energy storage systems require the deployment of adaptive control strategies for efficient energy balance. In this paper, a generalized predictive control (GPC) strategy is introduced for energy management (EM) in MG systems. Its main objective is to efficiently connect the electricity generators and consumers in order to predict the most suitable actions for energy flow management. In fact, based on energy production and consumption profiles as well as the availability of energy storage systems, the proposed EM will be able to select the best suitable energy source for supplying the building’s loads. It will efficiently manage the usage of energy storage and the utility grid while maximizing RESs power generation. Simulations have been conducted, using real-sitting scenarios, and results are presented to validate the proposed predictive control approach by showing its effectiveness for MG systems control.

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