Dynamical characteristic of MicroGrid with peer to peer control

Author(s):  
Li Guo ◽  
Chengshan Wang ◽  
Lingxu Guo ◽  
Jing Cao
2021 ◽  
Vol 2083 (2) ◽  
pp. 022099
Author(s):  
Chengyi Yue ◽  
Binbin Bei

Abstract Reducing the dependence of microgrid upon the communication system and realizing the efficient control of multiple distributed generation of the microgrid are problems that need to be solved urgently. Through the research, based on multiple microgrid operation modes, the peer-to-peer control strategy in microgrid is investigated, and the peer-to-peer control strategy method of microgrid is given for a variety of complex control problems of distributed power According to the peer-to-peer control strategy method, distributed power supply adopts droop control in adjusting distributed power supply in output voltage and frequency; the droop controller has P-f and Q-U droop characteristics. This paper establishes a peer-to-peer control microgrid simulation model, adopts the droop controller designed in this paper to island mode and grid-connected mode, and investigates how the microgrid switches between the two modes. In accordance with Matlab/Simulink simulation outcomes, the research examines frequency, voltage and power changes in distributed generation in the microgrid, and verifies the validity and feasibility of microgrid peer-to-peer control strategy.


2018 ◽  
Vol 9 (4) ◽  
pp. 3667-3675 ◽  
Author(s):  
Annette Werth ◽  
Alexis Andre ◽  
Daisuke Kawamoto ◽  
Tadashi Morita ◽  
Shigeru Tajima ◽  
...  

2020 ◽  
Vol 11 (6) ◽  
pp. 4688-4699 ◽  
Author(s):  
Yu Wang ◽  
Tung-Lam Nguyen ◽  
Yan Xu ◽  
Quoc-Tuan Tran ◽  
Raphael Caire

Author(s):  
Kevin Cheng ◽  
Camel Tanougast ◽  
Christophe Bobda ◽  
Abbas Dandache

Author(s):  
Haojie Ruan ◽  
Cheng Qian ◽  
Changjiang Wang ◽  
Yichi Lin ◽  
Xiaobo Zhang

2019 ◽  
Vol 55 (3) ◽  
pp. 2241-2251 ◽  
Author(s):  
Jingang Lai ◽  
Xiaoqing Lu ◽  
Fei Wang ◽  
Payman Dehghanian ◽  
Ruoli Tang

2013 ◽  
Vol 401-403 ◽  
pp. 2011-2015
Author(s):  
Tao Liu ◽  
Ji Jun Xu

Peer-to-peer control network relies on location mechanism that conducive to resources sharing among robotics. The commonly using overlay network topology method based on interesting group in the existing peer-to-peer control network should be accomplished collaboratively, which increases system traffic and occupies large bandwidth. The paper brought out a routing model in peer-to-peer control network based on Successful Accessing Rate (SAR). The model organizes user group based on SAR and conducting resource searching in high-low order. In this model, each node runs independently, which decrease system maintenance cost and provides new idea to solve free-rider problem. Simulation results show that the model effectively improve system recall rate and solve fairness problem.


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