Published: Dec. 12, 2023
Language: Английский
Published: Dec. 12, 2023
Language: Английский
Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: unknown, P. 100864 - 100864
Published: Dec. 1, 2024
Language: Английский
Citations
8Heliyon, Journal Year: 2024, Volume and Issue: 10(20), P. e38945 - e38945
Published: Oct. 1, 2024
Language: Английский
Citations
5Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 120, P. 109842 - 109842
Published: Nov. 7, 2024
Language: Английский
Citations
4Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 413 - 434
Published: Jan. 1, 2025
Language: Английский
Citations
0Studies in Infrastructure and Control, Journal Year: 2025, Volume and Issue: unknown, P. 171 - 214
Published: Jan. 1, 2025
Language: Английский
Citations
0Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 116, P. 116008 - 116008
Published: March 8, 2025
Language: Английский
Citations
0e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2025, Volume and Issue: unknown, P. 100975 - 100975
Published: March 1, 2025
Language: Английский
Citations
0Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 246, P. 111659 - 111659
Published: April 11, 2025
Language: Английский
Citations
0International Journal of Energy Research, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 30
Published: Aug. 11, 2023
The integration of electric vehicles (EVs) in the power grid has attracted considerable attention due to its potential benefits, such as demand response and quality improvement. However, intermittent unpredictable nature EVs’ charging discharging behavior can cause significant challenges grid’s stability quality. This research study explores use a droop-ANN model improve vehicle-to-grid (V2G) systems. proposed approach integrates an artificial neural network (ANN) into droop control technique accurately predict voltage frequency charger. Through simulations, model’s effectiveness reducing fluctuations enhancing was validated. results indicate that significantly improves across various battery state charge (SoC) charging/discharging scenarios. findings highlight enhance reliability V2G Further is needed validate real-world applications explore full potential. Overall, offers promising solution for improving
Language: Английский
Citations
9Electronics, Journal Year: 2024, Volume and Issue: 13(21), P. 4221 - 4221
Published: Oct. 28, 2024
Electric vehicles (EVs) are becoming increasingly popular as an efficient transportation solution but they also present unique challenges for energy management. Bi-directional charging (BDC) is a that allows EVs to not only consume from the grid supply back grid. This facilitates vehicle-to-load (V2L) integration, where can act mobile power sources homes, buildings, and V2L enables better management by utilizing flexible resource balance demand in proposed system. achieved through intelligent coordination between EVs, stations, grid, using smart meters communication networks. Integration of BDC provide backup during outages, reduce need costly infrastructure, support renewable integration. with integration promising approach optimal play significant role future sustainable systems. The model reached 95.13% efficiency, 95.03% management, 95.69% rating, 96.28% voltage 87.99% temperature
Language: Английский
Citations
2