Energy Storage Systems

Abdi, Hamdi; Mohammadi‐Ivatloo, Behnam; Javadi, Saeid; Khodaei, Amir Reza; Dehnavi, Ehsan

doi:10.1016/b978-0-12-804208-3.00007-8

Cited by 39 publications

(15 citation statements)

References 25 publications

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“…In Steps (11) and (12), the BESS operation is adapted by evaluating the results of the Operational KPIs. If the assessment is positive for all Operational KPIs, then the BESS doesn't need to adapt, therefore no change is made in relation to the initial inputs and the day-ahead planning of operation with BESS is obtained in Step (13). If the BESS fails in Steps (7), (8) and (9), an easing of the restriction of the maximum equivalent cycles per day is implemented so that the energy storage system has more freedom of operation and, thus, may achieve improvements in the operation and the defined KPIs.…”

Section: Description Of the Methodologymentioning

confidence: 99%

See 1 more Smart Citation

Integrating Hybrid Off-grid Systems with Battery Storage: Key Performance Indicators

Costa

Ribeiro

Miranda

et al. 2019

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)

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Section: Description Of the Methodologymentioning

confidence: 99%

“…This paradigm shift is the result of DG being connected in places where power injection was not planned, in particular, the fact that the infrastructure is designed for unidirectional power flows, from primary substations until consumers, which may not happen with a significant integration of distributed generation units [13].…”

Section: The Distribution Networkmentioning

confidence: 99%

Integrating Hybrid Off-grid Systems with Battery Storage: Key Performance Indicators

Costa

Ribeiro

Miranda

et al. 2019

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)

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“…A DC/DC converter, which allows to reach the point of maximum power using the MPPT control "perturb observe" [9]. A battery, whose objective is to store energy in order to compensate for the power level demanded by the loads during the absence of the operating condition 'solar irradiation' of the photovoltaic system [10]. A bidirectional DC/DC converter, allows the current to flow in two directions in order to manage the charge and discharge of the battery [11], [12].…”

Section: Presentation Of the Studied Systemmentioning

confidence: 99%

Energy management system and supervision in a micro-grid using artificial neural network technique

Jarmouni¹,

Mouhsen²,

Lamhammedi³

et al. 2021

IJPEDS

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Nowadays, the combination of conventional and renewable energy sources such as solar energy is one of the most widespread solutions to surmount the challenge of the climate and energy crisis. In the presence of random behavior of photovoltaic systems and variable power demand by consumers, energy management is a real challenge. In this paper, we propose a new energy management technique based on artificial neural networks in a smart grid. This will ensure the continuous supply of electricity to the consumer in the presence of random operation in energy consumption and generation. The global system is modeled and simulated under the MATLAB/Simulink tool.

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“…2) State-of-Charge ( SoC) : The SoC of a cell, expressed in (2), is defined as the percentage of currently available capacity ( Q c ) to its rated capacity ( Q n ) [55], and its value ranges between 0% up to 100%.…”

Section: Considered Key Factorsmentioning

confidence: 99%

Modular Approach to Ultra-fast Charging Stations

Leone

Longo

2021

J. Electr. Eng. Technol.

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Road transport electrification is essential for meeting the European Union's goals of decarbonization and climate change. In this context, an Ultra-Fast Charging (UFC) system is deemed necessary to facilitate the massive penetration of Electric Vehicles (EVs) on the market; particularly as medium-long distance travels are concerned. Anyway, an ultra-fast charging infrastructure represents the most critical point as regards hardware technology, grid-related issues, and financial sustainability. Thus far, this paper presents an impact analysis of a fast-charging station on the grid in terms of power consumption, obtained by the Monte Carlo simulation. Simulation results show that it is not economical convenient size the assumed ultra-fast charging station for the maximum possible power also considering its high impact on the grid. In view of the results obtained from the impact analysis, the last part of the paper focuses on finding a method to reduce the power installed for the DC/DC stage while keeping the possibility for the electric vehicle to charge at their maximum power. To achieve this goal a modular approach is proposed. Finally, two different modular architectures are presented and compared. In both the solutions, the probability of having EVs charging at limited power is less than 5%.

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Energy Storage Systems

Cited by 39 publications

References 25 publications

Integrating Hybrid Off-grid Systems with Battery Storage: Key Performance Indicators

Integrating Hybrid Off-grid Systems with Battery Storage: Key Performance Indicators

Energy management system and supervision in a micro-grid using artificial neural network technique

Modular Approach to Ultra-fast Charging Stations

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