Determining the size of PHEV charging stations powered by commercial grid-integrated PV systems considering reactive power support

Duong Quoc Hung; Zhao Yang Dong; Hieu Trinh

doi:10.1016/j.apenergy.2016.08.168

Determining the size of PHEV charging stations powered by commercial grid-integrated PV systems considering reactive power support

Duong Quoc Hung^*
, Zhao Yang Dong
, Hieu Trinh

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

49 Citations (Scopus)

Abstract

Due to low electricity rates at nighttime, home charging for electric vehicles (EVs) is conventionally favored. However, the recent tendency in support of daytime workplace charging that absorbs energy produced by solar photovoltaic (PV) panels appears to be the most promising solution to facilitating higher PV and EV penetration in the power grid. This paper studies optimal sizing of workplace charging stations considering probabilistic reactive power support for plug-in hybrid electric vehicles (PHEVs), which are powered by PV units in medium voltage (MV) commercial networks. In this study, analytical expressions are first presented to estimate the size of charging stations integrated with PV units with an objective of minimizing energy losses. These stations are capable of providing reactive power support to the main grid in addition to charging PHEVs while considering the probability of PV generation. The study is further extended to investigate the impact of time-varying voltage-dependent charging load models on PV penetration. The simulation results obtained on an 18-bus test distribution system show that various charging load models can produce dissimilar levels of PHEV and PV penetration. Particularly, the maximum energy loss and peak load reductions are achieved at 70.17% and 42.95% respectively for the mixed charging load model, where the system accommodates respective PHEV and PV penetration levels of 9.51% and 50%. The results of probabilistic voltage distributions are also thoroughly reported in the paper. © 2016 Elsevier Ltd

Original language	English
Pages (from-to)	160-169
Journal	Applied Energy
Volume	183
DOIs	https://doi.org/10.1016/j.apenergy.2016.08.168
Publication status	Published - 1 Dec 2016
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Research Keywords

Distributed generation
Energy loss
Plug-in hybrid electric vehicle
Probabilistic reactive power
Solar photovoltaic
Time-varying commercial charging load model

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10.1016/j.apenergy.2016.08.168

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title = "Determining the size of PHEV charging stations powered by commercial grid-integrated PV systems considering reactive power support",

abstract = "Due to low electricity rates at nighttime, home charging for electric vehicles (EVs) is conventionally favored. However, the recent tendency in support of daytime workplace charging that absorbs energy produced by solar photovoltaic (PV) panels appears to be the most promising solution to facilitating higher PV and EV penetration in the power grid. This paper studies optimal sizing of workplace charging stations considering probabilistic reactive power support for plug-in hybrid electric vehicles (PHEVs), which are powered by PV units in medium voltage (MV) commercial networks. In this study, analytical expressions are first presented to estimate the size of charging stations integrated with PV units with an objective of minimizing energy losses. These stations are capable of providing reactive power support to the main grid in addition to charging PHEVs while considering the probability of PV generation. The study is further extended to investigate the impact of time-varying voltage-dependent charging load models on PV penetration. The simulation results obtained on an 18-bus test distribution system show that various charging load models can produce dissimilar levels of PHEV and PV penetration. Particularly, the maximum energy loss and peak load reductions are achieved at 70.17\% and 42.95\% respectively for the mixed charging load model, where the system accommodates respective PHEV and PV penetration levels of 9.51\% and 50\%. The results of probabilistic voltage distributions are also thoroughly reported in the paper. {\textcopyright} 2016 Elsevier Ltd",

keywords = "Distributed generation, Energy loss, Plug-in hybrid electric vehicle, Probabilistic reactive power, Solar photovoltaic, Time-varying commercial charging load model",

author = "Hung, \{Duong Quoc\} and Dong, \{Zhao Yang\} and Hieu Trinh",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].",

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language = "English",

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journal = "Applied Energy",

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TY - JOUR

T1 - Determining the size of PHEV charging stations powered by commercial grid-integrated PV systems considering reactive power support

AU - Hung, Duong Quoc

AU - Dong, Zhao Yang

AU - Trinh, Hieu

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2016/12/1

Y1 - 2016/12/1

N2 - Due to low electricity rates at nighttime, home charging for electric vehicles (EVs) is conventionally favored. However, the recent tendency in support of daytime workplace charging that absorbs energy produced by solar photovoltaic (PV) panels appears to be the most promising solution to facilitating higher PV and EV penetration in the power grid. This paper studies optimal sizing of workplace charging stations considering probabilistic reactive power support for plug-in hybrid electric vehicles (PHEVs), which are powered by PV units in medium voltage (MV) commercial networks. In this study, analytical expressions are first presented to estimate the size of charging stations integrated with PV units with an objective of minimizing energy losses. These stations are capable of providing reactive power support to the main grid in addition to charging PHEVs while considering the probability of PV generation. The study is further extended to investigate the impact of time-varying voltage-dependent charging load models on PV penetration. The simulation results obtained on an 18-bus test distribution system show that various charging load models can produce dissimilar levels of PHEV and PV penetration. Particularly, the maximum energy loss and peak load reductions are achieved at 70.17% and 42.95% respectively for the mixed charging load model, where the system accommodates respective PHEV and PV penetration levels of 9.51% and 50%. The results of probabilistic voltage distributions are also thoroughly reported in the paper. © 2016 Elsevier Ltd

AB - Due to low electricity rates at nighttime, home charging for electric vehicles (EVs) is conventionally favored. However, the recent tendency in support of daytime workplace charging that absorbs energy produced by solar photovoltaic (PV) panels appears to be the most promising solution to facilitating higher PV and EV penetration in the power grid. This paper studies optimal sizing of workplace charging stations considering probabilistic reactive power support for plug-in hybrid electric vehicles (PHEVs), which are powered by PV units in medium voltage (MV) commercial networks. In this study, analytical expressions are first presented to estimate the size of charging stations integrated with PV units with an objective of minimizing energy losses. These stations are capable of providing reactive power support to the main grid in addition to charging PHEVs while considering the probability of PV generation. The study is further extended to investigate the impact of time-varying voltage-dependent charging load models on PV penetration. The simulation results obtained on an 18-bus test distribution system show that various charging load models can produce dissimilar levels of PHEV and PV penetration. Particularly, the maximum energy loss and peak load reductions are achieved at 70.17% and 42.95% respectively for the mixed charging load model, where the system accommodates respective PHEV and PV penetration levels of 9.51% and 50%. The results of probabilistic voltage distributions are also thoroughly reported in the paper. © 2016 Elsevier Ltd

KW - Distributed generation

KW - Energy loss

KW - Plug-in hybrid electric vehicle

KW - Probabilistic reactive power

KW - Solar photovoltaic

KW - Time-varying commercial charging load model

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DO - 10.1016/j.apenergy.2016.08.168

M3 - RGC 21 - Publication in refereed journal

SN - 0306-2619

VL - 183

SP - 160

EP - 169

JO - Applied Energy

JF - Applied Energy

ER -

Determining the size of PHEV charging stations powered by commercial grid-integrated PV systems considering reactive power support

Abstract

Bibliographical note

UN SDGs

Research Keywords

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