Optimal economical sizing of a PV-battery grid-connected system for fast charging station of electric vehicles using modified snake optimization algorithm

Nafeh, Abd El-Shafy A.; Omran, Abd El-Fattah A.; Elkholy, A.; Yousef, HosamK.M.

doi:10.1016/j.rineng.2024.101965

Cited by 22 publications

(2 citation statements)

References 39 publications

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“…For monitoring the EV charging system, ML models like Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) have been utilized in recent times [12]. Moreover, to optimize the charging stations, meta-heuristic optimization approaches, namely Particle Swarm Optimization (PSO) and Snake Optimization Algorithm (SOA) are implemented [13]. Furthermore, for managing the automatic S-PV-based EV charging system, DL approaches like Long Short Term Memory (LSTM), Reinforcement Learning (RL), and Gated Recurrent Unit (GRU) are introduced [14][15].…”

Section: Introductionmentioning

confidence: 99%

Season Aware Solar Photovoltaic-Based Efficient EV Charging System Using A Novel JFL-BiLSTM And RF-SHO

Rajender,

Dubey,

Kumar

2024

Preprint

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The surge in Electric Vehicle (EV) adoption has intensified energy demand, prompting the integration of Solar Photovoltaic (S-PV) systems for optimization. To address the challenge of fluctuating load demand with seasonal changes, a novel approach is proposed. This system combines Laguerre Polynomial-based Ramp Rate Method (LP-RRM) to smooth DC power from S-PV, Generalized Space Vector Modulation-based Switching Regulators (GSVM-SR) to tackle grid interruptions, and Rosenbrock Function-based Sea-Horse Optimization (RF-SHO) for optimal Charging System (CS) selection. Pre-processing the dataset identifies seasons and extracts features, which are fed into Joint Fusion Layer – Bidirectional Long Short Term Memory (JFL-BiLSTM) for load demand forecasting. The chosen CS is determined from a constructed graph based on user requests. The proposed technique effectively mitigates blackout risks and facilitates efficient EV charging operations, yielding promising results according to simulation outcomes.

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Section: Introductionmentioning

confidence: 99%

Season Aware Solar Photovoltaic-Based Efficient EV Charging System Using A Novel JFL-BiLSTM And RF-SHO

Rajender,

Dubey,

Kumar

2024

Preprint

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“…It resulted in a 1050 kW peak PV installation, an internal fleet of 300 electric cars and an additional fixed battery capacity of 450 kWh. Nafeh et al presented a methodology for the optimal sizing of a proposed PV battery grid-connected system for fast charging stations for electric vehicles in Cairo [9]. By shifting one's attention to the big international picture, one can observe that the increasing penetration of wind farms and photovoltaic parks in modern electricity grids results in stochastic electricity production with frequent peaks, which disturb the grid's operation and result in the dumping of large amounts of renewable energy.…”

Section: Introductionmentioning

confidence: 99%

The Interaction between Short- and Long-Term Energy Storage in an nZEB Office Building

Stamatellos,

Stamatellou

2024

Energies

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The establishment of near-autonomous micro-grids in commercial or public building complexes is gaining increasing popularity. Short-term storage capacity is provided by means of large battery installations, or, more often, by the employees’ increasing use of electric vehicle batteries, which are allowed to operate in bi-directional charging mode. In addition to the above short-term storage means, a long-term storage medium is considered essential to the optimal operation of the building’s micro-grid. The most promising long-term energy storage carrier is hydrogen, which is produced by standard electrolyzer units by exploiting the surplus electricity produced by photovoltaic installation, due to the seasonal or weekly variation in a building’s electricity consumption. To this end, a novel concept is studied in this paper. The details of the proposed concept are described in the context of a nearly Zero Energy Building (nZEB) and the associated micro-grid. The hydrogen produced is stored in a high-pressure tank to be used occasionally as fuel in an advanced technology hydrogen spark ignition engine, which moves a synchronous generator. A size optimization study is carried out to determine the genset’s rating, the electrolyzer units’ capacity and the tilt angle of the rooftop’s photovoltaic panels, which minimize the building’s interaction with the external grid. The hydrogen-fueled genset engine is optimally sized to 40 kW (0.18 kW/kWp PV). The optimal tilt angle of the rooftop PV panels is 39°. The maximum capacity of the electrolyzer units is optimized to 72 kW (0.33 kWmax/kWp PV). The resulting system is tacitly assumed to integrate to an external hydrogen network to make up for the expected mismatches between hydrogen production and consumption. The significance of technology in addressing the current challenges in the field of energy storage and micro-grid optimization is discussed, with an emphasis on its potential benefits. Moreover, areas for further research are highlighted, aiming to further advance sustainable energy solutions.

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Integrating electric vehicles into hybrid microgrids: A stochastic approach to future-ready renewable energy solutions and management

Güven

2024

Energy

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Optimal economical sizing of a PV-battery grid-connected system for fast charging station of electric vehicles using modified snake optimization algorithm

Cited by 22 publications

References 39 publications

Season Aware Solar Photovoltaic-Based Efficient EV Charging System Using A Novel JFL-BiLSTM And RF-SHO

Season Aware Solar Photovoltaic-Based Efficient EV Charging System Using A Novel JFL-BiLSTM And RF-SHO

The Interaction between Short- and Long-Term Energy Storage in an nZEB Office Building

Integrating electric vehicles into hybrid microgrids: A stochastic approach to future-ready renewable energy solutions and management

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