Leader-follower Optimal Selection Method for Distributed Control System in Active Distribution Networks

Aiming at the shortcomings of a traditional centralized control in an active distribution network (AND), this paper proposes a leader-follower distributed group cooperative control strategy to realize multiple operation and control tasks for an ADN. The distributed information exchange protocols of...

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Bibliographic Details
Published in:CSEE Journal of Power and Energy Systems Vol. 10; no. 1; pp. 314 - 323
Main Authors: Jian Le, Liangang Zhao, Cao Wang, Qian Zhou, Yang Wang
Format: Journal Article
Language:English
Published: China electric power research institute 01.01.2024
Subjects:
Active distribution network
consensus algorithm
leader-follower system
mixed-integer semidefinite programming
optimal distributed control
ISSN:2096-0042
Online Access:Get full text
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Summary:Aiming at the shortcomings of a traditional centralized control in an active distribution network (AND), this paper proposes a leader-follower distributed group cooperative control strategy to realize multiple operation and control tasks for an ADN. The distributed information exchange protocols of the distributed generation (DG) group devoted to node voltage regulation or exchange power control are developed using a DG power utilization ratio as the consensus variable. On these bases, this study further investigates the leader optimal selection method for a DG group to improve the response speed of the distributed control system. Furthermore, a single or multiple leader selection model is established to minimize the constraints of the one-step convergence factor and the number of leaders to improve the response speed of the distributed control system. The simulation results of the IEEE 33 bus standard test system show the effectiveness of the proposed distributed control strategy. In addition, the response speed of a DG control group can be improved effectively when the single or multiple leaders are selected optimally.
ISSN:2096-0042
DOI:10.17775/CSEEJPES.2020.02410