
Research on the Influence of Communication Time-Delay on Multi-agent System Based Distributed Energy Dispatching Control Consensus
Author(s) -
Jing Wu,
Binhai Zhu,
Yong Li,
Yong He
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/555/1/012091
Subject(s) - computer science , convergence (economics) , control (management) , multi agent system , energy (signal processing) , distributed computing , consensus , telecommunications network , distributed algorithm , stability (learning theory) , distributed generation , control theory (sociology) , real time computing , computer network , engineering , artificial intelligence , statistics , mathematics , machine learning , renewable energy , electrical engineering , economics , economic growth
Multi-agent based distributed control methods are widely applied in distributed energy dispatching control. However, the control processes are highly dependent on the information interaction among the distributed generation units through the communication network. The communication time-delay would affect the performance and stability of the multi-agent based distributed energy dispatching control system. To investigate the effect of communication time-delay on the dispatching control, the incremental cost rate in the economic dispatch model is adopted as consensus variables of multi-agent system, and a multi-agent system with communication time-delay based distributed energy dispatching control consensus algorithm is proposed. Moreover, two cases simulations are implemented and the effects of the time-delay on the consensus convergence are analyzed. This work provides a reference for the optimal design of distributed energy dispatching control.