Optimal scheduling of virtual power plant with battery degradation cost

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...

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Veröffentlicht in:IET generation, transmission & distribution Jg. 10; H. 3; S. 712 - 725
Hauptverfasser: Zhou, Bin, Liu, Xi, Cao, Yijia, Li, Canbing, Chung, Chi Yung, Chan, Ka Wing
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 18.02.2016
Schlagworte:
Approximation
approximation theory
battery degradation costing
battery storage plants
battery storage system
costing
Degradation
distributed energy resource
distributed power generation
Electric batteries
Electric power generation
Electric power plants
Energy storage
energy storage system
ESS
flexible VPP dispatching
integer programming
linear programming
optimal generation scheduling model
optimal VPP scheduling problem
Optimization
piecewise linear function
power distribution economics
power generation dispatch
power generation economics
power generation scheduling
profitability
Scheduling
Special Issue: Optimal Utilisation of Storage Systems in Transmission and Distribution Systems
stochastic programming
two‐stage stochastic mixed‐integer linear programming
virtual power plant
profitability
approximation theory
integer programming
ESS
stochastic programming
costing
virtual power plant
distributed energy resource
linear programming
power distribution economics
battery degradation costing
distributed power generation
power generation scheduling
power generation dispatch
power generation economics
energy storage system
piecewise linear function
energy storage
flexible VPP dispatching
optimal VPP scheduling problem
battery storage plants
optimal generation scheduling model
two-stage stochastic mixed-integer linear programming
battery storage system
ISSN:1751-8687, 1751-8695
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Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2015.0103