Grid Interactive Charging Station using ZAJO-NLMS Adaptive Filtering Technique with Improved Power Quality for EV Applications

Jaraniya, Dulichand; Kumar, Shailendra

doi:10.1007/s40031-021-00689-0

Cited by 8 publications

(2 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several research studies documented in the existing literature explored UPQC-based VSCs in conjunction with distributed energy resources, employing diverse methods and characteristics. Some of these studies are highlighted as follows: D. Jaraniya and S. Kumar (Jaraniya and Kumar, 2021;Bai et al, 2022;Jiang and Xu, 2024) developed a zero-attractor joint optimization-based normalized least mean square (ZAJO-NLMS) technique to enhance PQ. The various parallel PV array VSCs were incorporated with CS.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique

Prasada Rao,

Pandian,

Reddy

et al. 2024

Front. Energy Res.

View full text Add to dashboard Cite

This manuscript proposes a novel hybrid artificial intelligence (AI) approach for a unified power quality conditioner (UPQC) designed specifically for electric vehicle charging stations (EVCSs). The aim is to integrate multiple vehicle-to-grid (V2G) functionalities, thereby mitigating the challenges associated with electric vehicle (EV) grid integration and the incorporation of distributed energy resources (DERs). The hybrid technique presented in this manuscript combines the gradient boosting decision tree (GBDT) algorithm and the jellyfish search (JS) algorithm, referred to as the GBDT–JS technique. This innovative approach involves utilizing the charging station to offer EV charging services and facilitating the discharge of EVs to the power grid. Integration of the UPQC with DERs, such as photovoltaic (PV), is implemented to decrease the power rating of converters and fulfill power demand requirements. The initial converter within the UPQC is employed to manage the direct current (DC) voltage, while the second converter oversees the power charging or discharging processes of EVs. Additionally, it mitigates the impact of battery voltage fluctuations. The UPQC with vehicle-to-grid functionality minimizes the load pressure on the grid, preventing over-current issues. The presented approach regulates the UPQC converters to mitigate power quality issues such as harmonic currents and voltage sags. Subsequently, the effectiveness of this technique is demonstrated using the MATLAB/Simulink operating platform. The evaluation of GBDT–JS performance involves a comparative analysis with existing techniques. This assessment reveals that the proposed method effectively alleviates power quality issues, specifically reducing total harmonic distortion (THD), and delivers optimal outcomes.

show abstract

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique

Prasada Rao,

Pandian,

Reddy

et al. 2024

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

“…However, power quality (PQ) issues are not discussed in it. In Reference 13, the authors have discussed the CS with multifunctional performance using a multi PV array, which comprises VSC with power quality improvement functionality. A smart charging system is developed to reduce the burden on the distribution network during peak load hours with the regulation of the DC link voltage 14 .…”

Section: Introductionmentioning

confidence: 99%

Integration of charging station to the smart grid power network by using robust immune feedback adaptive and Rao optimization approaches

Jaraniya

Kumar

2022

Int J Numerical Modelling

Self Cite

View full text Add to dashboard Cite

The adoption of electrical vehicles (EVs) is nowadays a center of attraction, which reduces the carbon footprint and adds to the economic growth of a country. However, providing a proper charging facility to the customers is still a challenging task. This paper presents the mix (AC‐DC) charging station (CS) integrated with the PV array and the smart distribution grid. The acceleration of the EV causes the power quality burden on the grid and this can be taken care of by using advanced adaptive controls. In this paper, the control strategy used for the CS is the immune feedback‐based adaptive (IFA) control technique. It reduces the ripples in the fundamental load current extraction under steady‐state and produces fast response under dynamic conditions and helps to synchronize CS with the grid. The multi‐functional capabilities of the CS are presented with different voltage levels DC fast off‐board chargers and AC onboard slow chargers. Moreover, the Rao optimization technique is utilized to select the gains for the cascaded proportional‐integral (PI) controllers which are used to regulate the DC bus voltage and battery charging/discharging currents. The optimized fitness values of integral time square error (ITSE) by using Rao1, Rao2, and Rao3 techniques are 297.341, 285.023, and 282.924 respectively. The simulated and test results depict the efficacy of the CS. Moreover, the mixed charging facilities with multi DC fast chargers avoid the rush and burden on the grid, which reduces the power outage across the load and rapidly rising energy cost.

show abstract

Grid-Integrated EV Charging Infrastructure

Mamidala,

Prajapati

2024

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

Grid Interactive Charging Station using ZAJO-NLMS Adaptive Filtering Technique with Improved Power Quality for EV Applications

Cited by 8 publications

References 29 publications

Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique

Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique

Integration of charging station to the smart grid power network by using robust immune feedback adaptive and Rao optimization approaches

Grid-Integrated EV Charging Infrastructure

Contact Info

Product

Resources

About