Networked and Distributed Control Method With Optimal Power Dispatch for Islanded Microgrids

In this paper, a two-layer network and distributed control method is proposed, where there is a top-layer communication network over a bottom-layer microgrid. The communication network consists of two subgraphs, in which the first is composed of all agents, while the second is only composed of contr...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2017-01, Vol.64 (1), p.493-504
Main Authors: Qiang Li, Congbo Peng, Minyou Chen, Feixiong Chen, Wenfa Kang, Guerrero, Josep M., Abbott, Derek
Format: Article
Language:English
Subjects:
Artificial neural networks
Communication networks
Communications networks
Control methods
Control theory
Decentralized control
Distributed control
Distributed generation
Electrical loads
energy management
Frequency control
Graph theory
Microgrids
microgrids (MGs)
multi-agent system (MAS)
networked control systems
Optimization
Power dispatch
Reactive power
secondary control
Voltage control
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Summary:In this paper, a two-layer network and distributed control method is proposed, where there is a top-layer communication network over a bottom-layer microgrid. The communication network consists of two subgraphs, in which the first is composed of all agents, while the second is only composed of controllable agents. The distributed control laws derived from the first subgraph guarantee the supply-demand balance, while further control laws from the second subgraph reassign the outputs of controllable distributed generators, which ensure active and reactive power are dispatched optimally. However, for reducing the number of edges in the second subgraph, generally a simpler graph instead of a fully connected graph is adopted. In this case, a near-optimal dispatch of active and reactive power can be obtained gradually, only if controllable agents on the second subgraph calculate set points iteratively according to our proposition. Finally, the method is evaluated over seven cases via simulation. The results show that the system performs as desired, even if environmental conditions and load demand fluctuate significantly. In summary, the method can rapidly respond to fluctuations resulting in optimal power sharing.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2016.2598799