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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| Published in: | IET generation, transmission & distribution Vol. 10; no. 3; pp. 712 - 725 |
|---|---|
| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
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The Institution of Engineering and Technology
18.02.2016
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| Subjects: | |
| ISSN: | 1751-8687, 1751-8695 |
| Online Access: | Get full text |
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| 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. |
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| AbstractList | 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. |
| Author | Zhou, Bin Cao, Yijia Chung, Chi Yung Chan, Ka Wing Liu, Xi Li, Canbing |
| Author_xml | – sequence: 1 givenname: Bin surname: Zhou fullname: Zhou, Bin organization: 1College of Electrical and Information Engineering, Hunan University, Changsha 410082, People's Republic of China – sequence: 2 givenname: Xi surname: Liu fullname: Liu, Xi organization: 1College of Electrical and Information Engineering, Hunan University, Changsha 410082, People's Republic of China – sequence: 3 givenname: Yijia surname: Cao fullname: Cao, Yijia organization: 1College of Electrical and Information Engineering, Hunan University, Changsha 410082, People's Republic of China – sequence: 4 givenname: Canbing surname: Li fullname: Li, Canbing email: licanbing@qq.com organization: 1College of Electrical and Information Engineering, Hunan University, Changsha 410082, People's Republic of China – sequence: 5 givenname: Chi Yung surname: Chung fullname: Chung, Chi Yung organization: 2Department of Electrical and Computer Engineering, University of Saskatchewan, Canada – sequence: 6 givenname: Ka Wing surname: Chan fullname: Chan, Ka Wing organization: 3Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong |
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| Copyright | The Institution of Engineering and Technology 2016 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology |
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| Keywords | 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 |
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| SubjectTerms | 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 |
| Title | Optimal scheduling of virtual power plant with battery degradation cost |
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