TY - JOUR
T1 - Networked and Distributed Control Method with Optimal Power Dispatch for Islanded Microgrids
AU - Li, Qiang
AU - Peng, Congbo
AU - Chen, Minyou
AU - Chen, Feixiong
AU - Kang, Wenfa
AU - Guerrero, Josep M.
AU - Abbott, Derek
PY - 2017/1
Y1 - 2017/1
N2 - 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.
AB - 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.
KW - Distributed control
KW - Secondary control
KW - Networked control systems
KW - Multi-agent system (MAS)
KW - Microgrids
KW - Energy management
KW - Hierarchical control
KW - Electrical distribution networks
KW - Droop method
U2 - 10.1109/TIE.2016.2598799
DO - 10.1109/TIE.2016.2598799
M3 - Journal article
SN - 0278-0046
VL - 64
SP - 493
EP - 504
JO - I E E E Transactions on Industrial Electronics
JF - I E E E Transactions on Industrial Electronics
IS - 1
ER -