Novel Multiagent Based Load Restoration Algorithm for Microgrids

By Yinliang Xu, Wenxin Liu. IEEE Transactions on Smart Grid, 2011

325 citations recorded by the source corpus.

How researchers see this paper

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Resilient Distribution System by Microgrids Formation After Natural Disasters (2016, methodology): “Xu and Liu [20] proposed a multiagent coordination for distributed information discovery, but the restoration process does not consider the topology of the distribution network.”
Multiagent-Based Reinforcement Learning for Optimal Reactive Power Dispatch (2012, methodology): “it can be seen that the mean Metropolis method [17] provides the fastest converging speed to the information discovery process.”
Control Techniques in AC, DC, and Hybrid AC–DC Microgrid: A Review (2018, methodology): “A multiagent-based load restoration algorithm is proposed in [67] where the agents take decisions based on local information from direct neighbors and global information based on averageconsensus theorem.”
Distributed Control Techniques in Microgrids (2014, background): “A novel distributed multiagent-based load restoration algorithm is presented in [53].”
The role of communication systems in smart grids: Architectures, technical solutions and research challenges (2013, background): “This is also demonstrated by the large number of multi-agent systems that have been designed for a variety of smart grid applications, including power system restoration [256,257], fault diagnosis [258–261], management of distributed energy resources [262–264], demand-side management [265], manageme”