Review of Investigation on Distributed Control of Islanded Micro Grid
DOI:
https://doi.org/10.26438/ijcse/v7i9.176180Keywords:
Distributed Control, Real-time Simulation, Micro-gridAbstract
In the hierarchical control of an islanded microgrid, secondary control could be centralized or distributed. The former control strategy has several disadvantages, such as single point of failure at the level of the central controller as well as high investment of communication infrastructure. In this paper three-layer architecture of distributed control. The agent layer is a multi-agent system in which each agent is in charge of a distributed generation unit. Due to communication network constraints, agents are connected only to nearby neighbors. However, by using consensus algorithms the agents can discover the required global information and compute new references for the control layer. In this paper, a review of distributed control approaches for power quality improvement is presented which encompasses harmonic compensation, loss mitigation and optimum power sharing in multi-source-load distributed power network.
References
[1] N. Hatziargyriou, Microgrids: Architectures and Control. 2014.
[2] D. E. Olivares, A. Mehrizi-Sani, A. H. Etemadi, C. A. Cañizares, R. Iravani, M. Kazerani, A. H. Hajimiragha, O. Gomis-Bellmunt, M. Saeedifard, R. Palma-Behnke, G. A. Jiménez-Estévez, and N. D. Hatziargyriou, “Trends in microgrid control,” IEEE Trans. Smart Grid, vol. 5, no. 4, pp. 1905–1919, 2014.
[3] J. M. Guerrero, M. Chandorkar, T. Lee, and P. C. Loh, “Advanced Control Architectures for Intelligent Microgrids; Part I: Decentralized and Hierarchical Control,” Ind. Electron. IEEE Trans., vol. 60, no. 4, pp. 1254–1262, 2013.
[4] M. Yazdanian, A. Mehrizi-sani, G. S. Member, and A. Mehrizi-sani, “Distributed Control Techniques in Microgrids,” Smart Grid, IEEE Trans., vol. 5, no. 6, pp. 2901–2909, 2014.
[5] S. D. J. D. J. McArthur, E. M. M. Davidson, V. M. M. Catterson, A. L. L. Dimeas, N. D. D. Hatziargyriou, F. Ponci, and T. Funabashi, “Multi-Agent Systems for Power Engineering Applications-Part I: Concepts, Approaches, and Technical Challenges,” IEEE Trans. Power Syst., vol. 22, no. 4, pp. 1743–1752, 2007.
[6] W. Liu, W. Gu, W. Sheng, X. Meng, Z. Wu, and W. Chen, “Decentralized multi-agent system-based cooperative frequency control for autonomous microgrids with communication constraints,” IEEE Trans. Sustain. Energy, vol. 5, no. 2, pp. 446–456, 2014.
[7] Q. Li, F. Chen, M. Chen, J. M. Guerrero, and D. Abbott, “Agent-Based Decentralized Control Method for Islanded Microgrids,” IEEE Trans. Smart Grid, vol. 7, no. 2, pp. 637–649, 2016.
[8] J. Rocabert, A. Luna, F. Blaabjerg, and I. Paper, “Control of Power Converters in AC Microgrids.pdf,” IEEE Trans. Power Electron., vol. 27, no. 11, pp. 4734–4749, 2012.
[9] R. Olfati-Saber, J. A. Fax, and R. M. Murray, “Consensus and cooperation in networked multi-agent systems,” Proc. IEEE, vol. 95, no. 1, pp. 215–233, 2007.
[10] A. H. Sayed, “Adaptive networks,” Proc. IEEE, vol. 102, no. 4, pp. 460–497, 2014.
[11] S. Scherfke, “aiomas’ documentation.” [Online]. Available: https://aiomas.readthedocs.io/en/latest/.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
