scholarly journals Distributed Cooperative Regulation for Multiagent Systems and Its Applications to Power Systems: A Survey

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Jianqiang Hu ◽  
Yaping Li ◽  
Taiyou Yong ◽  
Jinde Cao ◽  
Jie Yu ◽  
...  
Keyword(s):  
Power Systems ◽  
Multiagent Systems ◽  
Smart Grids ◽  
Tracking Control ◽  
Optimization Problems ◽  
Research Area ◽  
Directed Network ◽  
Distributed Coordination ◽  
Leader Following ◽  
Cooperative Tracking

Cooperative regulation of multiagent systems has become an active research area in the past decade. This paper reviews some recent progress in distributed coordination control for leader-following multiagent systems and its applications in power system and mainly focuses on the cooperative tracking control in terms of consensus tracking control and containment tracking control. Next, methods on how to rank the network nodes are summarized for undirected/directed network, based on which one can determine which follower should be connected to leaders such that partial followers can perceive leaders’ information. Furthermore, we present a survey of the most relevant scientific studies investigating the regulation and optimization problems in power systems based on distributed strategies. Finally, some potential applications in the frequency tracking regulation of smart grids are discussed at the end of the paper.

scholarly journals Distributed Tracking Control for Discrete-Time Multiagent Systems with Novel Markovian Switching Topologies

2017 ◽  
Vol 2017 ◽  
pp. 1-10
Author(s):  
Hongbin Wang ◽  
Zhen Zhou ◽  
Zhongquan Hu
Keyword(s):  
Multiagent Systems ◽  
Discrete Time ◽  
Tracking Control ◽  
Sampling Period ◽  
Consensus Algorithm ◽  
Switching Topology ◽  
Tracking Errors ◽  
Control Gain ◽  
Leader Following ◽  
Coordinated Tracking

Distributed discrete-time coordinated tracking control problem is investigated for multiagent systems in the ideal case, where agents with a fixed graph combine with a leader-following group, aiming to expand the function of the traditional one in some scenes. The modified union switching topology is derived from a set of Markov chains to the edges by introducing a novel mapping. The issue on how to guarantee all the agents tracking the leader is solved through a PD-like consensus algorithm. The available sampling period and the feasible control gain are calculated in terms of the trigonometric function theory, and the mean-square bound of tracking errors is provided finally. Simulation example is presented to demonstrate the validity of the theoretical results.

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