Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/628269
Title: A Healer Reinforcement Approach to Self-Healing in Smart Grid by PHEVs Parking Lot Allocation
Authors: Seyed Mohsen Mohammadi-Hosseininejad;Alireza Fereidunian;Alireza Shahsavari;Hamid Lesani
subject: service restoration|self-healing|smart grid (SG)|plug-in hybrid electric vehicle (PHEV)|Backup unit|storage unit
Year: 2016
Publisher: IEEE
Abstract: Self-healing is one of the essential properties of smart grid. Improving the self-healing capability of the smart grid is referred to as healer reinforcement. In this paper, a new healer reinforcement approach is introduced, contributing PHEVs, through optimal parking lot (PL) placement and sizing, under contingencies, by considering the available control and protective devices. Moreover, the PL placement and sizing problem formulation is extended by considering PHEVs participation as both backup and storage units in the self-healing process. PHEVs contribution as backup units could provide electricity for faulted zone customers. Furthermore, demand variations during the restoration might lead to congestion occurrence in the backup feeder. Hence, the PHEVs contribution as storage units could prevent congestion occurrence and enable execution of the best restoration strategy, through charging in light load and injecting power to the backup feeding path in the peak load of repair time. In addition, the stochastic nature of PHEV owners' behavior is modeled in service restoration and the possibility of reactive power injection by PLs is considered in the service restoration process. The proposed formulation is applied to a standard test system (RBTS-4) to minimize a combined effect of the customer-based (SAIDI) and cost-based (TCR) reliability indices. The simulation is conducted to investigate the effects of physical limitations on candidate locations as well as PHEVs participation as both backup and storage units. Two sensitivity analyses are conducted on the objective function weighting coefficient and the total number of required charging stations to evaluate the effect of optimization parameters on final PL locations and sizes.
URI: http://localhost/handle/Hannan/162980
http://localhost/handle/Hannan/628269
ISSN: 1551-3203
1941-0050
volume: 12
issue: 6
Appears in Collections:2016

Files in This Item:
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Title: A Healer Reinforcement Approach to Self-Healing in Smart Grid by PHEVs Parking Lot Allocation
Authors: Seyed Mohsen Mohammadi-Hosseininejad;Alireza Fereidunian;Alireza Shahsavari;Hamid Lesani
subject: service restoration|self-healing|smart grid (SG)|plug-in hybrid electric vehicle (PHEV)|Backup unit|storage unit
Year: 2016
Publisher: IEEE
Abstract: Self-healing is one of the essential properties of smart grid. Improving the self-healing capability of the smart grid is referred to as healer reinforcement. In this paper, a new healer reinforcement approach is introduced, contributing PHEVs, through optimal parking lot (PL) placement and sizing, under contingencies, by considering the available control and protective devices. Moreover, the PL placement and sizing problem formulation is extended by considering PHEVs participation as both backup and storage units in the self-healing process. PHEVs contribution as backup units could provide electricity for faulted zone customers. Furthermore, demand variations during the restoration might lead to congestion occurrence in the backup feeder. Hence, the PHEVs contribution as storage units could prevent congestion occurrence and enable execution of the best restoration strategy, through charging in light load and injecting power to the backup feeding path in the peak load of repair time. In addition, the stochastic nature of PHEV owners' behavior is modeled in service restoration and the possibility of reactive power injection by PLs is considered in the service restoration process. The proposed formulation is applied to a standard test system (RBTS-4) to minimize a combined effect of the customer-based (SAIDI) and cost-based (TCR) reliability indices. The simulation is conducted to investigate the effects of physical limitations on candidate locations as well as PHEVs participation as both backup and storage units. Two sensitivity analyses are conducted on the objective function weighting coefficient and the total number of required charging stations to evaluate the effect of optimization parameters on final PL locations and sizes.
URI: http://localhost/handle/Hannan/162980
http://localhost/handle/Hannan/628269
ISSN: 1551-3203
1941-0050
volume: 12
issue: 6
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7511749.pdf1.27 MBAdobe PDFThumbnail
Preview File
Title: A Healer Reinforcement Approach to Self-Healing in Smart Grid by PHEVs Parking Lot Allocation
Authors: Seyed Mohsen Mohammadi-Hosseininejad;Alireza Fereidunian;Alireza Shahsavari;Hamid Lesani
subject: service restoration|self-healing|smart grid (SG)|plug-in hybrid electric vehicle (PHEV)|Backup unit|storage unit
Year: 2016
Publisher: IEEE
Abstract: Self-healing is one of the essential properties of smart grid. Improving the self-healing capability of the smart grid is referred to as healer reinforcement. In this paper, a new healer reinforcement approach is introduced, contributing PHEVs, through optimal parking lot (PL) placement and sizing, under contingencies, by considering the available control and protective devices. Moreover, the PL placement and sizing problem formulation is extended by considering PHEVs participation as both backup and storage units in the self-healing process. PHEVs contribution as backup units could provide electricity for faulted zone customers. Furthermore, demand variations during the restoration might lead to congestion occurrence in the backup feeder. Hence, the PHEVs contribution as storage units could prevent congestion occurrence and enable execution of the best restoration strategy, through charging in light load and injecting power to the backup feeding path in the peak load of repair time. In addition, the stochastic nature of PHEV owners' behavior is modeled in service restoration and the possibility of reactive power injection by PLs is considered in the service restoration process. The proposed formulation is applied to a standard test system (RBTS-4) to minimize a combined effect of the customer-based (SAIDI) and cost-based (TCR) reliability indices. The simulation is conducted to investigate the effects of physical limitations on candidate locations as well as PHEVs participation as both backup and storage units. Two sensitivity analyses are conducted on the objective function weighting coefficient and the total number of required charging stations to evaluate the effect of optimization parameters on final PL locations and sizes.
URI: http://localhost/handle/Hannan/162980
http://localhost/handle/Hannan/628269
ISSN: 1551-3203
1941-0050
volume: 12
issue: 6
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7511749.pdf1.27 MBAdobe PDFThumbnail
Preview File