Coordination of EVs Participation for Load Frequency Control in Isolated Microgrids

Mostafa Vahedipour-Dahraie, Homa Rashidizaheh-Kermani, Hamid Reza Najafi, Amjad Anvari-Moghaddam, Josep M. Guerrero

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Abstract

Increasing the penetration levels of renewable energy sources (RESs) in microgrids (MGs) may lead to frequency instability issues due to intermittent nature of RESs and low inertia of MG generating units. On the other hand, presence of electric vehicles (EVs), as new high-electricity- consuming appliances, can be a good opportunity to contribute in mitigating the frequency deviations and help the system stability. This paper proposes an optimal charging/discharging scheduling of EVs with the goal of improving frequency stability of MG during autonomous operating condition. To this end, an efficient approach is applied to reschedule the generating units considering the EVs owners’ behaviors. An EV power controller (EVPC) is also designed to determine charge and discharge process of EVs based on the forecasted day-ahead load and renewable generation profiles. The performance of the proposed strategy is tested in different operating scenarios and compared to those from non-optimized methodologies. Numerical simulations indicate that the MG performance improves considerably in terms of economy and stability using the proposed strategy.
Original languageEnglish
Article number539
JournalApplied Sciences
Volume7
Issue number6
Number of pages16
ISSN1454-5101
DOIs
Publication statusPublished - 2017

Fingerprint

frequency control
Electric vehicles
vehicles
renewable energy
energy sources
systems stability
Frequency stability
frequency stability
scheduling
economy
electricity
System stability
inertia
charging
controllers
penetration
Electricity
Scheduling
methodology
deviation

Keywords

  • Mmicrogrid (MG)
  • Renewable energy sources (RESs)
  • Electric vehicle (EV)
  • Frequency stability
  • Energy management strategy (EMS)

Cite this

Vahedipour-Dahraie, Mostafa ; Rashidizaheh-Kermani, Homa ; Najafi, Hamid Reza ; Anvari-Moghaddam, Amjad ; Guerrero, Josep M. / Coordination of EVs Participation for Load Frequency Control in Isolated Microgrids. In: Applied Sciences. 2017 ; Vol. 7, No. 6.
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title = "Coordination of EVs Participation for Load Frequency Control in Isolated Microgrids",
abstract = "Increasing the penetration levels of renewable energy sources (RESs) in microgrids (MGs) may lead to frequency instability issues due to intermittent nature of RESs and low inertia of MG generating units. On the other hand, presence of electric vehicles (EVs), as new high-electricity- consuming appliances, can be a good opportunity to contribute in mitigating the frequency deviations and help the system stability. This paper proposes an optimal charging/discharging scheduling of EVs with the goal of improving frequency stability of MG during autonomous operating condition. To this end, an efficient approach is applied to reschedule the generating units considering the EVs owners’ behaviors. An EV power controller (EVPC) is also designed to determine charge and discharge process of EVs based on the forecasted day-ahead load and renewable generation profiles. The performance of the proposed strategy is tested in different operating scenarios and compared to those from non-optimized methodologies. Numerical simulations indicate that the MG performance improves considerably in terms of economy and stability using the proposed strategy.",
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Coordination of EVs Participation for Load Frequency Control in Isolated Microgrids. / Vahedipour-Dahraie, Mostafa; Rashidizaheh-Kermani, Homa; Najafi, Hamid Reza; Anvari-Moghaddam, Amjad; Guerrero, Josep M.

In: Applied Sciences, Vol. 7, No. 6, 539, 2017.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Coordination of EVs Participation for Load Frequency Control in Isolated Microgrids

AU - Vahedipour-Dahraie, Mostafa

AU - Rashidizaheh-Kermani, Homa

AU - Najafi, Hamid Reza

AU - Anvari-Moghaddam, Amjad

AU - Guerrero, Josep M.

PY - 2017

Y1 - 2017

N2 - Increasing the penetration levels of renewable energy sources (RESs) in microgrids (MGs) may lead to frequency instability issues due to intermittent nature of RESs and low inertia of MG generating units. On the other hand, presence of electric vehicles (EVs), as new high-electricity- consuming appliances, can be a good opportunity to contribute in mitigating the frequency deviations and help the system stability. This paper proposes an optimal charging/discharging scheduling of EVs with the goal of improving frequency stability of MG during autonomous operating condition. To this end, an efficient approach is applied to reschedule the generating units considering the EVs owners’ behaviors. An EV power controller (EVPC) is also designed to determine charge and discharge process of EVs based on the forecasted day-ahead load and renewable generation profiles. The performance of the proposed strategy is tested in different operating scenarios and compared to those from non-optimized methodologies. Numerical simulations indicate that the MG performance improves considerably in terms of economy and stability using the proposed strategy.

AB - Increasing the penetration levels of renewable energy sources (RESs) in microgrids (MGs) may lead to frequency instability issues due to intermittent nature of RESs and low inertia of MG generating units. On the other hand, presence of electric vehicles (EVs), as new high-electricity- consuming appliances, can be a good opportunity to contribute in mitigating the frequency deviations and help the system stability. This paper proposes an optimal charging/discharging scheduling of EVs with the goal of improving frequency stability of MG during autonomous operating condition. To this end, an efficient approach is applied to reschedule the generating units considering the EVs owners’ behaviors. An EV power controller (EVPC) is also designed to determine charge and discharge process of EVs based on the forecasted day-ahead load and renewable generation profiles. The performance of the proposed strategy is tested in different operating scenarios and compared to those from non-optimized methodologies. Numerical simulations indicate that the MG performance improves considerably in terms of economy and stability using the proposed strategy.

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KW - Renewable energy sources (RESs)

KW - Electric vehicle (EV)

KW - Frequency stability

KW - Energy management strategy (EMS)

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DO - 10.3390/app7060539

M3 - Journal article

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JO - Applied Sciences

JF - Applied Sciences

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