Anti-Islanding Protection of PV-based Microgrids Consisting of PHEVs using SVMs

H. R. Baghaee, D. Mlakić, S. Nikolovski, Tomislav Dragičević

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Abstract

The cheap and reliable primal energy source for BESS refueling necessitates a special attention for combining RERs with PHEV charging stations in microgrids. Rapid charging is an operation mode of PHEV for drivers which demands fast recharging of BESSs of the electric cars. This charging mode manifests as low impedance short circuit at DC side, making power transient on power grid side. This paper presents a new anti-islanding protection scheme for LV VSC-based microgrids by exploiting SVMs. The proposed anti-islanding protection method exploits powerful classification capability of SVMs. The sensor monitors seven inputs measured at the PCC, namely RMS value of voltage and current (RMSV, RMSI), THD of voltage and current (THDV, THDI), frequency (f), and also active and reactive powers (P, Q). This approach is based on passive monitoring and therefore, it does not affect the PQ. In order to cover as many situations as possible, minimize false tripping and remain selective, training and detection procedures are simply introduced. Based on the presented sampling method and input model, the proposed method is tested under different conditions such as PHEV rapid charging, additional load change and multiple DGs at the same PCC. Simulations based on the model and parameters of a real-life practical PV power plant are performed in MATLAB/Simulink environment, and several tests are executed based on different scenarios and compared with previously-reported techniques, this analysis proved the effectiveness, authenticity, selectivity, accuracy and precision of the proposed method with allowable impact on PQ according to UL1741 standard, and its superiority over other methods.
Original languageEnglish
JournalIEEE Transactions on Smart Grid
ISSN1949-3053
DOIs
Publication statusE-pub ahead of print - Jun 2019

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Electric potential
Reactive power
Short circuit currents
MATLAB
Power plants
Railroad cars
Sampling
Monitoring
Sensors

Keywords

  • Anti-islanding protection
  • Distributed generation
  • Microgrid
  • Photovoltaic
  • Plug-in hybrid electric vehicles
  • Power quality
  • Support vector machine

Cite this

@article{6d0566d6f07a4ed0acba9d8882e91c95,
title = "Anti-Islanding Protection of PV-based Microgrids Consisting of PHEVs using SVMs",
abstract = "The cheap and reliable primal energy source for BESS refueling necessitates a special attention for combining RERs with PHEV charging stations in microgrids. Rapid charging is an operation mode of PHEV for drivers which demands fast recharging of BESSs of the electric cars. This charging mode manifests as low impedance short circuit at DC side, making power transient on power grid side. This paper presents a new anti-islanding protection scheme for LV VSC-based microgrids by exploiting SVMs. The proposed anti-islanding protection method exploits powerful classification capability of SVMs. The sensor monitors seven inputs measured at the PCC, namely RMS value of voltage and current (RMSV, RMSI), THD of voltage and current (THDV, THDI), frequency (f), and also active and reactive powers (P, Q). This approach is based on passive monitoring and therefore, it does not affect the PQ. In order to cover as many situations as possible, minimize false tripping and remain selective, training and detection procedures are simply introduced. Based on the presented sampling method and input model, the proposed method is tested under different conditions such as PHEV rapid charging, additional load change and multiple DGs at the same PCC. Simulations based on the model and parameters of a real-life practical PV power plant are performed in MATLAB/Simulink environment, and several tests are executed based on different scenarios and compared with previously-reported techniques, this analysis proved the effectiveness, authenticity, selectivity, accuracy and precision of the proposed method with allowable impact on PQ according to UL1741 standard, and its superiority over other methods.",
keywords = "Anti-islanding protection, distributed generation, microgrid, photovoltaic, plug-in hybrid electric vehicles, power quality, support vector machine., Anti-islanding protection, Distributed generation, Microgrid, Photovoltaic, Plug-in hybrid electric vehicles, Power quality, Support vector machine",
author = "Baghaee, {H. R.} and D. Mlakić and S. Nikolovski and Tomislav Dragičević",
year = "2019",
month = "6",
doi = "10.1109/TSG.2019.2924290",
language = "English",
journal = "I E E E Transactions on Smart Grid",
issn = "1949-3053",
publisher = "IEEE",

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Anti-Islanding Protection of PV-based Microgrids Consisting of PHEVs using SVMs. / Baghaee, H. R.; Mlakić, D.; Nikolovski, S.; Dragičević, Tomislav.

In: IEEE Transactions on Smart Grid, 06.2019.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Anti-Islanding Protection of PV-based Microgrids Consisting of PHEVs using SVMs

AU - Baghaee, H. R.

AU - Mlakić, D.

AU - Nikolovski, S.

AU - Dragičević, Tomislav

PY - 2019/6

Y1 - 2019/6

N2 - The cheap and reliable primal energy source for BESS refueling necessitates a special attention for combining RERs with PHEV charging stations in microgrids. Rapid charging is an operation mode of PHEV for drivers which demands fast recharging of BESSs of the electric cars. This charging mode manifests as low impedance short circuit at DC side, making power transient on power grid side. This paper presents a new anti-islanding protection scheme for LV VSC-based microgrids by exploiting SVMs. The proposed anti-islanding protection method exploits powerful classification capability of SVMs. The sensor monitors seven inputs measured at the PCC, namely RMS value of voltage and current (RMSV, RMSI), THD of voltage and current (THDV, THDI), frequency (f), and also active and reactive powers (P, Q). This approach is based on passive monitoring and therefore, it does not affect the PQ. In order to cover as many situations as possible, minimize false tripping and remain selective, training and detection procedures are simply introduced. Based on the presented sampling method and input model, the proposed method is tested under different conditions such as PHEV rapid charging, additional load change and multiple DGs at the same PCC. Simulations based on the model and parameters of a real-life practical PV power plant are performed in MATLAB/Simulink environment, and several tests are executed based on different scenarios and compared with previously-reported techniques, this analysis proved the effectiveness, authenticity, selectivity, accuracy and precision of the proposed method with allowable impact on PQ according to UL1741 standard, and its superiority over other methods.

AB - The cheap and reliable primal energy source for BESS refueling necessitates a special attention for combining RERs with PHEV charging stations in microgrids. Rapid charging is an operation mode of PHEV for drivers which demands fast recharging of BESSs of the electric cars. This charging mode manifests as low impedance short circuit at DC side, making power transient on power grid side. This paper presents a new anti-islanding protection scheme for LV VSC-based microgrids by exploiting SVMs. The proposed anti-islanding protection method exploits powerful classification capability of SVMs. The sensor monitors seven inputs measured at the PCC, namely RMS value of voltage and current (RMSV, RMSI), THD of voltage and current (THDV, THDI), frequency (f), and also active and reactive powers (P, Q). This approach is based on passive monitoring and therefore, it does not affect the PQ. In order to cover as many situations as possible, minimize false tripping and remain selective, training and detection procedures are simply introduced. Based on the presented sampling method and input model, the proposed method is tested under different conditions such as PHEV rapid charging, additional load change and multiple DGs at the same PCC. Simulations based on the model and parameters of a real-life practical PV power plant are performed in MATLAB/Simulink environment, and several tests are executed based on different scenarios and compared with previously-reported techniques, this analysis proved the effectiveness, authenticity, selectivity, accuracy and precision of the proposed method with allowable impact on PQ according to UL1741 standard, and its superiority over other methods.

KW - Anti-islanding protection

KW - distributed generation

KW - microgrid

KW - photovoltaic

KW - plug-in hybrid electric vehicles

KW - power quality

KW - support vector machine.

KW - Anti-islanding protection

KW - Distributed generation

KW - Microgrid

KW - Photovoltaic

KW - Plug-in hybrid electric vehicles

KW - Power quality

KW - Support vector machine

U2 - 10.1109/TSG.2019.2924290

DO - 10.1109/TSG.2019.2924290

M3 - Journal article

JO - I E E E Transactions on Smart Grid

JF - I E E E Transactions on Smart Grid

SN - 1949-3053

ER -