Open AccessHierarchical Control Strategy for Microgrid Based on Finite-time Consensus Algorithm
Author(s) -
Binfeng Tang,
Ying Huang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2108/1/012041
Subject(s) - voltage droop , microgrid , control theory (sociology) , compensation (psychology) , computer science , control (management) , power (physics) , voltage , ac power , value (mathematics) , automatic frequency control , power control , mathematical optimization , control engineering , engineering , mathematics , telecommunications , electrical engineering , voltage source , artificial intelligence , psychology , physics , quantum mechanics , machine learning , psychoanalysis
In order to overcome the shortcomings of centralized control strategy for microgrid, a hierarchical control strategy based on finite-time consensus algorithm is proposed in this paper. Based on the droop control, the control strategy uses the finite-time consensus theory of multi-gent system to solve the optimal power generation value of the system, and adjusts the droop coefficient to make the power generation power of the power supply the optimal value. Then the compensation of frequency and voltage is introduced by multi-agent technology to stabilize the system frequency and voltage at rated value.