Impacts of Plug-in Electric Vehicles on a Distribution Level Microgrid

Yusuf, Jubair; Hasan, Ammar; Ula, Sadrul

doi:10.1109/naps46351.2019.9000195

Cited by 11 publications

(4 citation statements)

References 3 publications

(3 reference statements)

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“…The charging of EVs influences the power quality of the distribution grid. The impacts on various parts of the distribution grid are discussed in [63][64][65][66][67][68][69]. Non-coordinated charging of EVs gives rise to unplanned, undesired peaks in the grid demand.…”

Section: Impacts On Grid Power Qualitymentioning

confidence: 99%

Review of Challenges and Opportunities in the Integration of Electric Vehicles to the Grid

Vishnu,

Kaliyaperumal,

Jayaprakash

et al. 2023

WEVJ

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Electric vehicle (EV) technology has revolutionized the transportation sector in the last few decades. The adoption of EVs, along with the advancement of smart grid technologies and Renewable Energy Sources (RES), has introduced new concepts in the automobile and power industries. Vehicle-Grid Integration (VGI) or Vehicle-to-Grid (V2G) is a technology revolutionizing both the transport and electric power sectors. From a V2G perspective, these sectors are complementary and mutually beneficial. For the power sector, mitigation of voltage and frequency excursions and the prospect of grid stabilization on the brink of uncertainties owing to the dynamics in the grid scenario are very important. This article focuses on various aspects of EV-power grid integration. The tremendous benefits of this technology, as presented in the literature, are reviewed. Furthermore, the concerns and the implementation challenges are reviewed in detail in this work.

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Section: Impacts On Grid Power Qualitymentioning

confidence: 99%

Review of Challenges and Opportunities in the Integration of Electric Vehicles to the Grid

Vishnu,

Kaliyaperumal,

Jayaprakash

et al. 2023

WEVJ

View full text Add to dashboard Cite

show abstract

“…The impacts of EV charging on various aspects in the distribution grid are discussed in [21][22][23][24][25][26][27]. The adverse effects of EV penetration can be remedied through proper scheduling, clustering, and forecasting measures [28].…”

Section: Literature Reviewmentioning

confidence: 99%

Short-Term Forecasting of Electric Vehicle Load Using Time Series, Machine Learning, and Deep Learning Techniques

Vishnu,

Kaliyaperumal,

Pati

et al. 2023

WEVJ

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Electric vehicles (EVs) are inducing revolutionary developments to the transportation and power sectors. Their innumerable benefits are forcing nations to adopt this sustainable mode of transport. Governments are framing and implementing various green energy policies. Nonetheless, there exist several critical challenges and concerns to be resolved in order to reap the complete benefits of E-mobility. The impacts of unplanned EV charging are a major concern. Accurate EV load forecasting followed by an efficient charge scheduling system could, to a large extent, solve this problem. This work focuses on short-term EV demand forecasting using three learning frameworks, which were applied to real-time adaptive charging network (ACN) data, and performance was analyzed. Auto-regressive (AR) forecasting, support vector regression (SVR), and long short-term memory (LSTM) frameworks demonstrated good performance in EV charging demand forecasting. Among these, LSTM showed the best performance with a mean absolute error (MAE) of 4 kW and a root-mean-squared error (RMSE) of 5.9 kW.

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“…Whereas the traditional ICE can typically not run at higher than 50% efficiency [34], the EV can run at 85-90% efficiency [35]. Compared to gasoline vehicles that only convert 12-30% of gasoline power to a vehicle's wheels, the EV converts 77% of the grid power to the vehicle's wheels [36]. The estimated efficiency of an EV is 3.59 times higher than that for a conventional vehicle within a 100-to 300-mile range [37].…”

Section: Prospect Of Electric Vehiclementioning

confidence: 99%

Challenges of Electric Vehicles and Their Prospects in Malaysia: A Comprehensive Review

et al. 2022

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Electric vehicles (EVs) in Malaysia are gaining more attention and interest from the public. However, the electric vehicle’s exposure, awareness, and sales are still low compared to other countries. In this review, the challenges associated with implementing the electric vehicle culture in Malaysia are thoroughly reviewed, including the obstacles that the Malaysian government, policymakers, EV manufacturers, and EV users face in terms of EV cost, travel demand, charging station availability, impact on the power grid, and battery capacity. Then, all the identified challenges have been addressed by considering the user behavior, travel demand, socio-economical culture of Malaysia, current policies taken by the government of Malaysia, and the psychological outlook of Malaysians towards EV adoption. Moreover, potential suggestions have been proposed that the government of Malaysia may adopt during policy planning and when seeking to provide incentives to the users. Finally, a concrete conclusion has been drawn by disseminating the vision about the future of EVs in Malaysia. The proposed review of the technologies, challenges, prospects, and potential solutions associated with EV adoption in Malaysia can provide a base for proper strategic policy and help policymakers frame strategies to achieve the targets. This review could help achieve sustainable EV transport, and the successful implementation of Malaysian National Automotive Plan 2020, with the goal of adopting next-generation green vehicles.

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Impacts of Plug-in Electric Vehicles on a Distribution Level Microgrid

Cited by 11 publications

References 3 publications

Review of Challenges and Opportunities in the Integration of Electric Vehicles to the Grid

Review of Challenges and Opportunities in the Integration of Electric Vehicles to the Grid

Short-Term Forecasting of Electric Vehicle Load Using Time Series, Machine Learning, and Deep Learning Techniques

Challenges of Electric Vehicles and Their Prospects in Malaysia: A Comprehensive Review

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