Probabilistic Impact Assessment of Electric Vehicle Charging on Malaysia Low-Voltage Distribution Networks

Tie, Chin Ho; Gan, Chin Kim; Ibrahim, Khairul Anwar

doi:10.17485/ijst/2015/v8i3/59576

Cited by 8 publications

(4 citation statements)

References 14 publications

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“…Time-variant solutions use time-series to consider the time-dependencies. A comparison between the results presented in [20][21][22] highlights the importance of considering time-variations. Hosting capacity of a distribution system involves aleatory uncertainties that deterministic methods are not able to consider.…”

Section: Overviewmentioning

confidence: 99%

Smart Meter Data Analytics Case Study: Identification of LV Distribution Network Topology to Design Optimal Planning Solutions 7

Benzerga¹,

Bahmanyar²,

Mathieu³

et al. 2023

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

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Section: Overviewmentioning

confidence: 99%

Smart Meter Data Analytics Case Study: Identification of LV Distribution Network Topology to Design Optimal Planning Solutions 7

Benzerga¹,

Bahmanyar²,

Mathieu³

et al. 2023

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

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“…The Malaysian LV network went through an analytical testing in [151], [152] for voltage profile and voltage unbalance impacts as EVs are integrated into the grid. The scenarios considered for the voltage unbalance were unbalanced EVs charging and an evenly distributed charging, while controlled versus uncontrolled charging were the modes for the voltage profile assessment.…”

Section: B Voltage Profile and Phase Unbalance Impactmentioning

confidence: 99%

“…The reference used TOU charging scheme in order to target off-peak hours for improved outcomes, and it concluded that an energy consumption factor is the driver behind favoring specific EV brands-generation over other brands so that the transformers LOL is remain intact [138]. Other references recommended regulated charging for its benefits of reducing transformers adverse impacts of EVs deployment [134]- [136], [143], [151], [152], [159]. The effect of adopting PV and battery storage systems on the transformer LOL were investigated in [181], [182] in which they claim that the transformers LOL are prolonged upon these setups.…”

Section: ) Distribution Transformermentioning

confidence: 99%

“…Hence, the integrity of cables forms a cornerstone of the whole power system reliability, and it can get affected severly by uncontrolled EV integration [193]. A different set of EV penetration rates of coordinated charging, uncoordinated charging, unbalanced charging, and evenly distributed charging in [151], [152] tested a Malaysian network to check the integrity of thermal limits of feeder conductors. The outcomes were conforming to the norms that the coordinated charging is provides the best chance for feeder conductors thermal capacity, followed by the evenly distributed charging.…”

Section: ) Transmission Cablementioning

confidence: 99%

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Electric Vehicles Beyond Energy Storage and Modern Power Networks: Challenges and Applications

2019

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Electric vehicles (EVs) have been increasingly experiencing sales growth, and it is still not clear how to handle the associated impacts of a substantial integration of EVs against the power network performance and electricity deregulated market. Power networks development moves slowly compared to EVs, so it is hard to harmonize the two systems. Also, the associated cost required to modernize electric networks to accommodate the EVs additional loading is so huge that it makes it impractical. An electric network would suffer from many performances and quality-related problems if a significant number of EVs are not taken into account. Thus, it is vital to calculate at a reasonable accuracy the additional capacity to which the network would take. Also, the modeling of these EVs in terms of charge/discharge procedure (central or distributed) is essential to enable the optimization and compute potential impacts. The electricity market has to interface with the bidirectional supply nature of the EVs, so they become economically feasible. A business model that incorporates market structure and standards is selected in harmony with the charge/discharge model for best outcomes. Some approaches, algorithms, and schemes are deemed necessary to mitigate the effects of having EVs in the network. This paper presents a comprehensive review categorically on the recent advances and past research developments of EV paradigm over the last two decades. The main intent of this paper is to provide an application-focused survey, where every category and subcategory herein is thoroughly and independently investigated.INDEX TERMS Business model, central charging model, distributed charging model, electric vehicle, power network.

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Probabilistic analysis of the technical impacts of high penetrations of electric vehicles on distribution networks

Chihota,

Devine,

Bekker

2024

Advanced Technologies in Electric Vehicles

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Probabilistic Impact Assessment of Electric Vehicle Charging on Malaysia Low-Voltage Distribution Networks

Cited by 8 publications

References 14 publications

Smart Meter Data Analytics Case Study: Identification of LV Distribution Network Topology to Design Optimal Planning Solutions 7

Smart Meter Data Analytics Case Study: Identification of LV Distribution Network Topology to Design Optimal Planning Solutions 7

Electric Vehicles Beyond Energy Storage and Modern Power Networks: Challenges and Applications

Probabilistic analysis of the technical impacts of high penetrations of electric vehicles on distribution networks

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