Spearhead PV Array Based Three Phase Charging Station with Multi EV Spots Using Improved LP-PNLMS Adaptive Filter to Support the Power Grid

Jaraniya, Dulichand; Kumar, Shailendra; Singh, Bhim

doi:10.1109/ias48185.2021.9677380

Cited by 5 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The primary purpose circuit is to connect the DC bus and EV battery terminals. [33,34] The circuit restricts the charging current in accordance with different standards and criteria for charging speed (i EV ). There are two types of EV chargers, fast chargers and standard speed chargers.…”

Section: Modeling Of Ev Chargermentioning

confidence: 99%

Optimizing Cost and Emission Reduction in Photovoltaic–Battery‐Energy‐Storage‐System‐Integrated Electric Vehicle Charging Stations: An Efficient Hybrid Approach

Kirubadevi,

Sathesh Kumar,

et al. 2024

Energy Tech

View full text Add to dashboard Cite

In this article, an optimal photovoltaic (PV) and battery energy storage system with hybrid approach design for electric vehicle charging stations (EVCS) is proposed. The hybrid approach combines the use of polar transformer networks (PTNs) and the puzzle optimization algorithm (POA); hence it is called as POA–PTN approach. The main objective is to lessen the charging station cost and pollutant emissions. The proposed method is minimizing the pollutant emissions and the annual cost of PV with EVCS, which is done by POA method and predicts the optimal solution is done by PTN approach. The proposed method is executed in the MATLAB platform, and compared with existing methods, including heap‐based optimization, particle swarm optimization, and wild horse optimizer approaches. The proposed technique demonstrates superior performance, achieving the lowest net present cost of €1.45 × 106 and emissions of 2.25 × 108 g year−1 with a shorter computing time of 13.04 s compared to the other methods.

show abstract

Section: Modeling Of Ev Chargermentioning

confidence: 99%