Control of Low-Frequency Oscillation on Electrical Power System Under Large EV-Charging Station Installation Using PSO Technique for Turning PSS Parameters

Yenchamchalit, Kulsomsup; Kongjeen, Yuttana; Bhumkittipich, Krischonme; Stativă, Andrei; Mithulananthan, Nadarajah

doi:10.15866/iree.v16i5.20753

Cited by 5 publications

(3 citation statements)

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“…When compared to the quick development, huge mobility information technology, and penetration, a WPT is now waiting for the occurrence of conductive energy transmission [8]. So, there should be comprehensive layout designs with resonant inductively coupled wireless power transmission systems that include the vehicle battery charging systems and the factory conveyance systems then their efficiency is acceptable up to the range of 80% has been noted [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Performance Investigation of HFR Full-bridge Inverter in Resonant Inductive Coupled Power Transfer System for an Electric Vehicle

Geetha,

Usha

2024

EAI Endorsed Trans Energy Web

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Inductive WPT of the resonant category is generally employed for medium and high-power transmission applications like electric vehicle charging due to it contributes excellent efficiency. The high-frequency resonant full-bridge inverter using series-series resonant topology is proposed. The design of the high-frequency resonant inverter is simulated and verified by MATLAB/SIMULINK software. The charging scheme which is available in the AC-DC as well as in the DC-DC converter should operate with the two steps to achieve a duty cycle-based voltage control and hysteresis current control. The resonant frequency of the proposed system has a frequency range of 65 kHz with a DC voltage of 12V. The simulation has been carried out successfully and transmitted a 5KW power load of constant current and voltage control. The Performance chart of with the existing method is carried out in terms of parameters and the efficiency can be achieved by 95%.

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Section: Introductionmentioning

confidence: 99%

Performance Investigation of HFR Full-bridge Inverter in Resonant Inductive Coupled Power Transfer System for an Electric Vehicle

Geetha,

Usha

2024

EAI Endorsed Trans Energy Web

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“…The particle swarm optimization algorithm can be used to construct a potential fault identification model for charging piles. By analyzing operational status indicators and historical fault data, the particle swarm optimization algorithm can find the optimal feature combination, establish an efficient and accurate fault identification model, and help identify potential faults in a timely manner and take corresponding maintenance measures 8,9 …”

Section: Introductionmentioning

confidence: 99%

“…By analyzing operational status indicators and historical fault data, the particle swarm optimization algorithm can find the optimal feature combination, establish an efficient and accurate fault identification model, and help identify potential faults in a timely manner and take corresponding maintenance measures. 8,9 Under the above research background, this paper proposes a preventive maintenance decision model of electric vehicle charging pile based on mutation operator and life cycle optimization. By establishing a preventive maintenance decision model for electric vehicle charging piles, potential faults can be identified in a timely manner and appropriate maintenance measures can be taken, thereby improving the reliability and service quality of the charging piles.…”

Section: Introductionmentioning

confidence: 99%

Preventive maintenance decision model of electric vehicle charging pile based on mutation operator and life cycle optimization

Cai,

Ding,

Jiang

et al. 2024

Energy Science & Engineering

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This paper proposes a preventive maintenance decision model for electric vehicle charging stations based on mutation operators and lifecycle optimization to address the impact of potential faults on maintenance effectiveness. By introducing the particle swarm optimization algorithm with mutation operator, a comprehensive analysis of opportunity service age factor and safety failure probability factor was conducted to establish an indicator system for the operation status of charging piles, and a potential fault identification model was constructed. By optimizing the life cycle, the balance problem between optimal maintenance life and optimal opportunity maintenance life has been solved, thus completing preventive maintenance decisions. The experimental results show that the accuracy of this method in preventive maintenance decision‐making for electric vehicle charging piles can reach 98%, with an average preventive maintenance decision‐making time of 1.6 s for load piles. At the same time, the risk probability value and load loss value are effectively controlled. This study has good application prospects in improving the preventive maintenance effect of electric vehicle charging piles.

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Impact of Large-scale EVs Integration on Small Signal Stability of Renewable-Rich Power Systems

Feng,

Shafiq,

Nadarajah

2023

2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG)

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Control of Low-Frequency Oscillation on Electrical Power System Under Large EV-Charging Station Installation Using PSO Technique for Turning PSS Parameters

Cited by 5 publications

References 0 publications

Performance Investigation of HFR Full-bridge Inverter in Resonant Inductive Coupled Power Transfer System for an Electric Vehicle

Performance Investigation of HFR Full-bridge Inverter in Resonant Inductive Coupled Power Transfer System for an Electric Vehicle

Preventive maintenance decision model of electric vehicle charging pile based on mutation operator and life cycle optimization

Impact of Large-scale EVs Integration on Small Signal Stability of Renewable-Rich Power Systems

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