Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/660556
Title: Optimal scheduling of virtual power plant with battery degradation cost
Authors: Bin Zhou;Xi Liu;Yijia Cao;Canbing Li;Chi Yung Chung;Ka Wing Chan
subject: two-stage stochastic mixed-integer linear programming|flexible VPP dispatching|distributed energy resource|ESS|piecewise linear function|optimal generation scheduling model|energy storage system|battery storage system|virtual power plant|optimal VPP scheduling problem|battery degradation costing
Year: 2016
Publisher: IEEE
Abstract: This study proposes a novel optimal generation scheduling model for virtual power plant (VPP) considering the degradation cost of energy storage system (ESS). The VPP is generally formed by a mix of distributed energy resources, and the ESS is an important installation for flexible VPP dispatch due to its controllable and schedulable behaviours. For the operations of battery storage systems, the ambient temperature and depth of discharge have significant impacts on the wear and tear of the ESS as well as battery degradation cost. Furthermore, the battery degradation cost is modelled and approximated by a piecewise linear function, and then incorporated into the proposed optimal VPP scheduling model. Consequently, the optimal VPP scheduling problem is formulated as a two-stage stochastic mixed-integer linear programming in order to maximise the expected profits of the VPP. The proposed model has been successfully implemented and tested through a representative case study, and the influence of battery degradation cost on optimal VPP scheduling has also been thoroughly analysed and demonstrated.
URI: http://localhost/handle/Hannan/154676
http://localhost/handle/Hannan/660556
ISSN: 1751-8687
1751-8695
volume: 10
issue: 3
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7422928.pdf1.42 MBAdobe PDFThumbnail
Preview File
Title: Optimal scheduling of virtual power plant with battery degradation cost
Authors: Bin Zhou;Xi Liu;Yijia Cao;Canbing Li;Chi Yung Chung;Ka Wing Chan
subject: two-stage stochastic mixed-integer linear programming|flexible VPP dispatching|distributed energy resource|ESS|piecewise linear function|optimal generation scheduling model|energy storage system|battery storage system|virtual power plant|optimal VPP scheduling problem|battery degradation costing
Year: 2016
Publisher: IEEE
Abstract: This study proposes a novel optimal generation scheduling model for virtual power plant (VPP) considering the degradation cost of energy storage system (ESS). The VPP is generally formed by a mix of distributed energy resources, and the ESS is an important installation for flexible VPP dispatch due to its controllable and schedulable behaviours. For the operations of battery storage systems, the ambient temperature and depth of discharge have significant impacts on the wear and tear of the ESS as well as battery degradation cost. Furthermore, the battery degradation cost is modelled and approximated by a piecewise linear function, and then incorporated into the proposed optimal VPP scheduling model. Consequently, the optimal VPP scheduling problem is formulated as a two-stage stochastic mixed-integer linear programming in order to maximise the expected profits of the VPP. The proposed model has been successfully implemented and tested through a representative case study, and the influence of battery degradation cost on optimal VPP scheduling has also been thoroughly analysed and demonstrated.
URI: http://localhost/handle/Hannan/154676
http://localhost/handle/Hannan/660556
ISSN: 1751-8687
1751-8695
volume: 10
issue: 3
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7422928.pdf1.42 MBAdobe PDFThumbnail
Preview File
Title: Optimal scheduling of virtual power plant with battery degradation cost
Authors: Bin Zhou;Xi Liu;Yijia Cao;Canbing Li;Chi Yung Chung;Ka Wing Chan
subject: two-stage stochastic mixed-integer linear programming|flexible VPP dispatching|distributed energy resource|ESS|piecewise linear function|optimal generation scheduling model|energy storage system|battery storage system|virtual power plant|optimal VPP scheduling problem|battery degradation costing
Year: 2016
Publisher: IEEE
Abstract: This study proposes a novel optimal generation scheduling model for virtual power plant (VPP) considering the degradation cost of energy storage system (ESS). The VPP is generally formed by a mix of distributed energy resources, and the ESS is an important installation for flexible VPP dispatch due to its controllable and schedulable behaviours. For the operations of battery storage systems, the ambient temperature and depth of discharge have significant impacts on the wear and tear of the ESS as well as battery degradation cost. Furthermore, the battery degradation cost is modelled and approximated by a piecewise linear function, and then incorporated into the proposed optimal VPP scheduling model. Consequently, the optimal VPP scheduling problem is formulated as a two-stage stochastic mixed-integer linear programming in order to maximise the expected profits of the VPP. The proposed model has been successfully implemented and tested through a representative case study, and the influence of battery degradation cost on optimal VPP scheduling has also been thoroughly analysed and demonstrated.
URI: http://localhost/handle/Hannan/154676
http://localhost/handle/Hannan/660556
ISSN: 1751-8687
1751-8695
volume: 10
issue: 3
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7422928.pdf1.42 MBAdobe PDFThumbnail
Preview File