Abstract
This paper presents a novel distributed finite-time control scheme for heterogeneous battery energy storage systems (BESSs) in droop-controlled microgrids. In contrast to the existing centralized methods, the proposed control strategy is fully distributed so that each BESS only requires its own information
and the information from its neighbors through a sparse communication network. Our novel consensus-based method is implemented to achieve energy level balancing, active/reactive power sharing, and voltage/frequency synchronization of energy storage devices by using inter-BESS communications, where both the heterogeneous nature of batteries and the hierarchical
control structure are taken into consideration. Furthermore, the proposed design is shown to improve the synchronization performance and exhibit more accurate robustness against timevarying communication topologies and load changes. Simulation results on a modified IEEE 57-bus power system are provided
to verify the effectiveness of the proposed consensus strategy.
and the information from its neighbors through a sparse communication network. Our novel consensus-based method is implemented to achieve energy level balancing, active/reactive power sharing, and voltage/frequency synchronization of energy storage devices by using inter-BESS communications, where both the heterogeneous nature of batteries and the hierarchical
control structure are taken into consideration. Furthermore, the proposed design is shown to improve the synchronization performance and exhibit more accurate robustness against timevarying communication topologies and load changes. Simulation results on a modified IEEE 57-bus power system are provided
to verify the effectiveness of the proposed consensus strategy.
Original language | English |
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Journal | IEEE Transactions on Smart Grid |
Early online date | 31 Aug 2018 |
DOIs | |
Publication status | Published - Sept 2019 |
Keywords
- Batteries
- Battery energy storage systems
- Energy states
- Frequency control
- Microgrids
- Synchronization
- Voltage control
- distributed cooperative control
- finite-time consensus
- microgrid
- multi-agent systems.