title: Distributed cooperative regulation for multiagent systems and its applications to power systems: a survey.
abstract: 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.
authors.affiliation: School of Automation, Southeast University, Nanjing 210096, China.
authors.forename: Jianqiang
authors.identifier: 0000-0002-1684-887X
authors.initials: J
authors.lastname: Hu
authors.affiliation: China Electric Power Research Institute, Nanjing 210003, China.
authors.forename: Yaping
authors.initials: Y
authors.lastname: Li
authors.affiliation: China Electric Power Research Institute, Nanjing 210003, China.
authors.forename: Taiyou
authors.initials: T
authors.lastname: Yong
authors.affiliation: Research Center for Complex Systems and Network Sciences, Department of Mathematics, Southeast University, Nanjing 210096, China ; Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
authors.forename: Jinde
authors.identifier: 0000-0003-3133-7119
authors.initials: J
authors.lastname: Cao
authors.affiliation: School of Electrical Engineering, Southeast University, Nanjing 210096, China.
authors.forename: Jie
authors.initials: J
authors.lastname: Yu
authors.affiliation: China Electric Power Research Institute, Nanjing 210003, China.
authors.forename: Wenbo
authors.initials: W
authors.lastname: Mao
mesh_terms: D001185:Artificial Intelligence / Q000639:trends*; D003625:Data Collection / Q000379:methods; D003661:Decision Support Techniques; D010363:Pattern Recognition, Automated / Q000379:methods / Q000639:trends