Journal
PROCESSES
Volume 7, Issue 8, Pages -Publisher
MDPI
DOI: 10.3390/pr7080483
Keywords
demand response; dynamic characteristics of batteries; optimal allocation; improved particle swarm optimization
Categories
Funding
- National Key R & D Program of China (Technology and application of wind power/photovoltaic power prediction for promoting renewable energy consumption) [2018YFB0904200]
- eponymous Complement S & T Program of State Grid Corporation of China [SGLNDKOOKJJS1800266]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available