Momentum Search Algorithm for Analysis of Fuel Cell Vehicle-to-Grid System with Large-Scale Buildings

Padhmanabhaiyappan Sivalingam; Madhusudanan Gurusamy

doi:10.23919/PCMP.2023.000274

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Momentum Search Algorithm for Analysis of Fuel Cell Vehicle-to-Grid System with Large-Scale Buildings

Contents | 更新时间：2026-06-24

- Momentum Search Algorithm for Analysis of Fuel Cell Vehicle-to-Grid System with Large-Scale Buildings
- Momentum Search Algorithm for Analysis of Fuel Cell Vehicle-to-Grid System with Large-Scale Buildings
- 现代电力系统保护与控制（英文） 2024年9卷第2期
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- DOI：10.23919/PCMP.2023.000274
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- 纸质出版：2024
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Padhmanabhaiyappan Sivalingam, Madhusudanan Gurusamy. Momentum Search Algorithm for Analysis of Fuel Cell Vehicle-to-Grid System with Large-Scale Buildings[J]. 现代电力系统保护与控制（英文）, 2024,9(2).

Padhmanabhaiyappan Sivalingam, Madhusudanan Gurusamy. Momentum Search Algorithm for Analysis of Fuel Cell Vehicle-to-Grid System with Large-Scale Buildings[J]. Protection and Control of Modern Power Systems, 2024, 9(2).
Padhmanabhaiyappan Sivalingam, Madhusudanan Gurusamy. Momentum Search Algorithm for Analysis of Fuel Cell Vehicle-to-Grid System with Large-Scale Buildings[J]. 现代电力系统保护与控制（英文）, 2024,9(2). DOI： 10.23919/PCMP.2023.000274.

Padhmanabhaiyappan Sivalingam, Madhusudanan Gurusamy. Momentum Search Algorithm for Analysis of Fuel Cell Vehicle-to-Grid System with Large-Scale Buildings[J]. Protection and Control of Modern Power Systems, 2024, 9(2). DOI： 10.23919/PCMP.2023.000274.

摘要

Abstract

The design and analysis of a fuel cell vehicle-to-grid (FCV2G) system with a high voltage conversion interface is proposed. The system aims to maximize the utilization of fuel cell vehicles (FCVs) as distributed energy resources

allowing them to actively participate in the energy market. The proposed FCV2G system has FCVs

power electronics interfaces

and the electrical grid. The power electronics interfaces are responsible for converting the low-voltage output of the fuel cell stack into high-voltage DC power

and ensuring efficient power transfer between the FCVs and the grid. To optimize the operation of the FCV2G system

the momentum search algorithm (MSA) is employed. By applying MSA

the FCV2G system can achieve optimal power dispatch

considering factors such as energy efficiency

grid stability

and economic feasibility. The proposed method is tested in MATLAB. The best MSA and dynamic load profile solutions are run for 24 h and the results show that 100% import of FCVs 51.0% more than 100% electric vehicle. Peak-cutting and vehicle-to-grid service revenue are 30.5% and 95.0% greater

respectively. Low discharge loss

high capacity

and high discharge power are the main advantages of FCVs. The benchmark FCVs ratio of 15% is used for sensitivity analysis. The findings reveal that the overall advantages of FCV2G are improved.

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