ZHANG Liangliang. Autonomous Control Method for Distributed Energy Storage System in Smart Grid Based on Multi-agent Consistency Theory[J]. High voltage apparatus, 2024, 60(8): 230-237.
DOI:
ZHANG Liangliang. Autonomous Control Method for Distributed Energy Storage System in Smart Grid Based on Multi-agent Consistency Theory[J]. High voltage apparatus, 2024, 60(8): 230-237. DOI: 10.13296/j.1001-1609.hva.2024.08.027.
Autonomous Control Method for Distributed Energy Storage System in Smart Grid Based on Multi-agent Consistency Theory
In view of inconsistent response speed of distributed energy storage primary sag controller of the distributed energy storage of each power grid due to differences in impedance of different grids in smart grids
difficult coordination of multiple sag control methods (
P-f/Q-U
sag
improved
P-f/Q-U
sag and improved
P-U/Q-f
sag
etc.) as well complex design of the controller design
a kind of autonomous control method for distributed energy storage system in smart grid based on multi-agent consistenc
y theory is proposed in this paper so to achieve high efficient coordination of different sag control modes
effectively improve the voltage frequency control effect at distributed energy storage PCC and the accurate power distribution of each energy storage system. First
the distributed energy storage control sag model under different impedance power grid conditions is studied deeply by the method
the distributed control theory is adopted to design a distributed energy storage unified secondary controller to control the frequency and voltage of the distributed energy storage PCC points
and proportionally distribute the active and reactive power output of the energy storage system. Then
due to the long distance between different power grids
the communication delay will affect the control effect and even destroy stability of the control system. The multi-agent correlation theory is adopted in this paper to design a directional communication method
and the delay upper bound condition to achieve the control goal without losing the stability of the control system is deduced. Finally
the effectiveness of the proposed method is verified by simulation analysis on the improved IEEE 118 node power system.