Impact of EV interfacing on peak-shelving and frequency regulation in a microgrid

A vehicle-to-grid (V2G) technology enables bidirectional power exchange between electric vehicles (EVs) and the power grid, presenting enhanced grid stability and load management opportunities. This study investigates a comprehensive microgrid system integrating EVs with solar (8 MW), wind (4.5 MW), and diesel generation sources, focusing on peak load reduction and frequency regulation capabilities. Through MATLAB/Simulink simulations using a Phasor model, we analyze five distinct scenarios with varying EV fleet sizes (20-100 vehicles, 40 kW each). Results demonstrate that V2G integration effectively maintains grid frequency within 59.5-60.5 Hz across all test cases, achieving optimal performance using 100 EVs. Through strategic EV discharge scheduling, the system successfully reduces evening peak loads from 3000 to 2200 kW. Economic analysis reveals decreasing payback periods from 5.2 to 2.8 years as fleet size increases, with ROI improving from 12.5 to 23.1%. These findings establish quantitative benchmarks for V2G implementation in microgrids and demonstrate its viability for grid stability enhancement and load management applications.

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Publication Details

Journal
Scientific Reports
Published
2024-12-28
DOI
https://doi.org/10.1038/s41598-024-83309-3
Citations
9
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
1.88
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article

Impact of EV interfacing on peak-shelving and frequency regulation in a microgrid

Dinesh Kumar Nishad, Sarika Shrivastava, Saifullah Khalid
9 citations
Scientific Reports
Electric Vehicles and Infrastructure
1.88
article

Impact of EV interfacing on peak-shelving and frequency regulation in a microgrid

Dinesh Kumar Nishad, Sarika Shrivastava, Saifullah Khalid
article en
9 citations

Abstract

A vehicle-to-grid (V2G) technology enables bidirectional power exchange between electric vehicles (EVs) and the power grid, presenting enhanced grid stability and load management opportunities. This study investigates a comprehensive microgrid system integrating EVs with solar (8 MW), wind (4.5 MW), and diesel generation sources, focusing on peak load reduction and frequency regulation capabilities. Through MATLAB/Simulink simulations using a Phasor model, we analyze five distinct scenarios with varying EV fleet sizes (20-100 vehicles, 40 kW each). Results demonstrate that V2G integration effectively maintains grid frequency within 59.5-60.5 Hz across all test cases, achieving optimal performance using 100 EVs. Through strategic EV discharge scheduling, the system successfully reduces evening peak loads from 3000 to 2200 kW. Economic analysis reveals decreasing payback periods from 5.2 to 2.8 years as fleet size increases, with ROI improving from 12.5 to 23.1%. These findings establish quantitative benchmarks for V2G implementation in microgrids and demonstrate its viability for grid stability enhancement and load management applications.

Scientific ReportsVol. 14(1)
Dr. Shakuntala Misra National Rehabilitation University (IN), Ashoka University (IN), Sudan Academy of Sciences (SD)
Climate action
Openalex Percentile: Top 14%
Electric Vehicles and Infrastructure
1.88
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Impact of EV interfacing on peak-shelving and frequency regulation in a microgrid — Dinesh Kumar Nishad, Sarika Shrivastava, et al. · Scientific Reports (2024) | TGRS Research Map | TGRS