Stochastic analysis of electric transportation charging impacts on power quality of distribution systems
Abstract
This work studies the power quality impacts of electric transportation charging including electric buses (EBs) and electric vehicles (EVs) on distribution systems. The stochastic harmonic models for EBs and EVs and the stochastic models for their usage scenarios are built utilising the measured charging data. Based on these models, a power quality analysis method considering the charging uncertainties of EBs and EVs is proposed in this study and then their impacts on distribution systems are investigated. The Monte Carlo simulation is integrated into the proposed method to study the under voltage, overcurrent, voltage unbalance, transformer overload, harmonic current, voltage etc. caused by the stochastic charging of EBs and EVs. An actual distribution system acquired from Taiwan Power Company is taken as an example to validate the practicability of the proposed method. The test results of the proposed stochastic model are compared with those of the conservative model.
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The deterministic, time series, stochastic, and optimization-based HC calculation methods can be used to estimate the HC of EV in the distribution network.
“The deterministic [139], time series [140], stochastic [141], and optimization-based [142] HC calculation methods can be used to estimate the HC of EV in the distribution network.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [140]
Stochastic measured data of EVs are used to develop stochastic harmonic analysis models and usage scenario models.
“Stochastic measured data of EVs are used to develop stochastic harmonic analysis models and usage scenario models.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [140]
The study in [140] shows transformer loading as the most violated performance limit.
“The study shows transformer loading as the most violated performance limit.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [140]
The authors in [140] applied stochastic and time series methods to study the power quality problems of electric transportation charging of EVs on distribution systems.
“The authors applied stochastic and time series methods to study the power quality problems of electric transportation charging of EVs on distribution systems.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [140]
Different HC determination methods can be applied to EV HC studies as presented in [140].
“Furthermore, different HC determination methods can be applied to EV HC studies as presented in [140].”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [140]
Cited by
Sorted by citations
Umoh, V., Davidson, I., Adebiyi, A., & Ekpe, U. (2023) · Energies · doi:10.3390/en16083609 · Cited by 71 · see citing works
Umoh, V., Adebiyi, A., & Moloi, K. (2023) · Eng · doi:10.3390/eng4030111 · Cited by 12 · see citing works
- Authors
- Leou, R., Teng, J., Lu, H., Lan, B., Chen, H., Hsieh, T., & Su, C.
- Affiliations
- Cheng Shiu University (TW)
- National Sun Yat-sen University (TW)
- Industrial Technology Research Institute (TW)
- National Kaohsiung Marine University (TW)
- Corresponding author
- Leou, Rong‐Ceng
- Venue
- IET Generation, Transmission & Distribution
- Published
- 2018-04-13
- Volume
- 12
- Issue
- 11
- Pages
- 2725-2734
- ISSN
- 1751-8687 (ISSN-L)
- 1751-8695
- OpenAlex
- W2789818804
- Cited by
- 42
- References
- 0
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 5 · 2023: 14 · 2022: 5 · 2021: 5 · 2020: 6 · 2019: 3
- FWCI
- 1.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IET Generation Transmission & Distribution (publishedVersion)
- Funders
- Ministry of Science and Technology, Taiwan (MOST 104‐2221‐E‐230‐006)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power Quality and Harmonics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Keywords
- power quality, distribution systems, electric buses, electric vehicles, voltage unbalance, transformer overload, current harmonics, undervoltage, overcurrent, Monte Carlo simulation, application scenarios
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