LAPSE:2019.1062
Published Article
LAPSE:2019.1062
Optimal Allocation of Energy Storage System Considering Price-Based Demand Response and Dynamic Characteristics of VRB in Wind-PV-ES Hybrid Microgrid
Qingwu Gong, Jintao Fang, Hui Qiao, Dong Liu, Si Tan, Haojie Zhang, Haitao He
September 30, 2019
Studying the influence of the demand response and dynamic characteristics of the battery energy storage on the configuration and optimal operation of battery energy storage system (BESS) in the Wind-Photovoltaic (PV)-Energy Storage (ES) hybrid microgrid. A demand response model that is based on electricity price elasticity is established based on the time-of-use price. Take the capital-operating cost and direct economic benefit of the BESS and the loss of abandoned photovoltaic and wind power as the optimization objective, an optimal configuration method that considers the dynamic characteristics of the BESS and the maximum absorption of photovoltaic and wind power is proposed while using particle swarm optimization to solve. The results show that the configuration results considering the demand side response of the microgrid BESS can obtain better economy and reduce the storage capacity requirement, and the result shows that the efficiency of BESS relates to the load of the system, the distributed generation (DG) characteristics, and the dynamic characteristics of BESS. Meanwhile, the capacity and power of the energy storage configuration increase as the DG permeability increases due to the reverse load characteristic of the wind power.
Keywords
demand response, dynamic characteristics of batteries, improved particle swarm optimization, optimal allocation
Suggested Citation
Gong Q, Fang J, Qiao H, Liu D, Tan S, Zhang H, He H. Optimal Allocation of Energy Storage System Considering Price-Based Demand Response and Dynamic Characteristics of VRB in Wind-PV-ES Hybrid Microgrid. (2019). LAPSE:2019.1062
Author Affiliations
Gong Q: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China
Fang J: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China
Qiao H: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China
Liu D: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China
Tan S: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China
Zhang H: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China
He H: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China
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Journal Name
Processes
Volume
7
Issue
8
Article Number
E483
Year
2019
Publication Date
2019-08-01
Published Version
ISSN
2227-9717
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Original Submission
Other Meta
PII: pr7080483, Publication Type: Journal Article
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LAPSE:2019.1062
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doi:10.3390/pr7080483
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Sep 30, 2019
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Sep 30, 2019
 
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Calvin Tsay
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