Imperial College London
Portrait Picture

Professor Tim Green, FREng

Faculty of Engineering, Department of Electrical and Electronic Engineering

Academic Leader for Sustainability, Professor
 
 
 
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Contact

 

+44 (0)20 7594 6171t.green Website CV

 
 
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Location

 

1107EElectrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hou:2022:10.1109/tpel.2021.3130112,
author = {Hou, X and Sun, K and Zhang, N and Teng, F and Zhang, X and Green, TC},
doi = {10.1109/tpel.2021.3130112},
journal = {IEEE Transactions on Power Electronics},
pages = {5970--5983},
title = {Priority-driven self-optimizing power control scheme for interlinking converters of hybrid AC/DC microgrid clusters in decentralized manner},
url = {http://dx.doi.org/10.1109/tpel.2021.3130112},
volume = {37},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Hybrid AC/DC microgrid clusters are key building blocks of smart grid to support sustainable and resilient urban power systems. In microgrid clusters, the subgrid load-priorities and power quality requirements for different areas vary significantly. To realize optimal power exchanges among microgrid clusters, this paper proposes a decentralized self-optimizing power control scheme for interlinking converters (ILC) of hybrid microgrid clusters. A priority-driven optimal power exchange model of ILCs is built considering the priorities and capacities in subgrids. The optimization objective is to minimize the total DC-voltage/AC-frequency state deviations of subgrids. To realize the decentralized power flow control, an optimal-oriented quasi-droop control strategy of ILCs is introduced to not only achieve a flexible self-optimizing power flow management, but also provide an ancillary function of voltage support. Consequently, as each of ILCs only monitors the local AC-side frequency and DC-side voltage signals, the whole optimal power control of the wide-area microgrid clusters is achieved in a decentralized manner without any communication link. Thus, the proposed control algorithm has the features of decreased cost, increased scalability, reduced geographic restrictions and high resilience in terms of communication faults. Finally, the proposed method is validated by case studies with four interconnected microgrids through hardware-in-loop tests.
AU  - Hou,X
AU  - Sun,K
AU  - Zhang,N
AU  - Teng,F
AU  - Zhang,X
AU  - Green,TC
DO  - 10.1109/tpel.2021.3130112
EP  - 5983
PY  - 2022///
SN  - 0885-8993
SP  - 5970
TI  - Priority-driven self-optimizing power control scheme for interlinking converters of hybrid AC/DC microgrid clusters in decentralized manner
T2  - IEEE Transactions on Power Electronics
UR  - http://dx.doi.org/10.1109/tpel.2021.3130112
UR  - https://ieeexplore.ieee.org/document/9632372
UR  - http://hdl.handle.net/10044/1/93301
VL  - 37
ER  -
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