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Coordination and optimization control of hybrid microgrid based on layered event triggering
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In the centralized communication and distributed control of hybrid
microgrid, a hierarchical event triggering control strategy with the
participation of the microgrid central control (MGCC) is presented to
solve the problem that the control method depends heavily on the
communication network. It can effectively reduce the communication load
of the distributed cluster and ensure the reliability of the power
network. This strategy divides the control system of the hybrid
microgrid into two layers, the bottom layer is the local control layer,
which uses distributed collaborative control. The local controller
collects data information from adjacent measurement units, controls
update output status in place, and achieves the distributed autonomous
operation of the hybrid microgrid. In addition, an event triggering
strategy is introduced in the upper control layer of the microgrid,
which coordinates MGCC to obtain global information of the hybrid
microgrid, thereby issuing predefined control instructions to local
controllers to achieve flexible dispatch of the hybrid microgrid,
especially in response to power grid emergencies. Finally, the hybrid
microgrid model is built using MATLAB and simulated to verify the
effectiveness of the proposed control strategy.
Title: Coordination and optimization control of hybrid microgrid based on layered event triggering
Description:
In the centralized communication and distributed control of hybrid
microgrid, a hierarchical event triggering control strategy with the
participation of the microgrid central control (MGCC) is presented to
solve the problem that the control method depends heavily on the
communication network.
It can effectively reduce the communication load
of the distributed cluster and ensure the reliability of the power
network.
This strategy divides the control system of the hybrid
microgrid into two layers, the bottom layer is the local control layer,
which uses distributed collaborative control.
The local controller
collects data information from adjacent measurement units, controls
update output status in place, and achieves the distributed autonomous
operation of the hybrid microgrid.
In addition, an event triggering
strategy is introduced in the upper control layer of the microgrid,
which coordinates MGCC to obtain global information of the hybrid
microgrid, thereby issuing predefined control instructions to local
controllers to achieve flexible dispatch of the hybrid microgrid,
especially in response to power grid emergencies.
Finally, the hybrid
microgrid model is built using MATLAB and simulated to verify the
effectiveness of the proposed control strategy.
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