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access icon openaccess Research on islanding partition algorithm for the multi-microgrids

  • Author(s): Jie Zeng 1, 2 ; Jiajun Peng 3, 4 ; Chi Zhang 1, 2 ; Wei Zhang 1, 2 ; Shaoxiong Zhou 4, 5
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  • Source: Volume 2019, Issue 16, March 2019, p. 3345 – 3348
    DOI:  10.1049/joe.2018.8395 , Online ISSN 2051-3305
This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
Received 22/08/2018, Accepted 19/09/2018, Published 15/11/2018

With the widespread application of microgrids, a number of adjacent microgrids in a certain area will form multi-microgrids (MMGs) with three-phase/single-phase (TP/SP) architecture. Owing to the complicated structure and the various operation modes of MMGs, it is an urgent problem that how to achieve seamless handoff between multiple operation modes in the MMGs. Based on the analysis of the topology of MMGs with TP/SP architecture and the hierarchical control architecture, this study proposes the islanding partition method algorithm correspondingly. The discrete particle swarm optimisation algorithm is proposed to solve the problem by establishing the comprehensive evaluation of islanding MMGs with TP/SP architecture, which can effectively solve the problem of dimension explosion when the number of microgrids increases. The results of simulation show the applicability of the proposed strategy for MMGs.

Inspec keywords: particle swarm optimisation; power generation faults; distributed power generation; power generation control

Other keywords: islanding MMG topology; discrete particle swarm optimisation algorithm; hierarchical control architecture; islanding partition algorithm; multiple operation modes; TP-SP architecture; islanding partition method algorithm; single-phase architecture; three-phase architecture; multimicrogrids; adjacent microgrids

Subjects: Optimisation techniques; Control of electric power systems; Distributed power generation; Optimisation techniques

References

    1. 1)
      • 8. Xu, Y., Ai, Q.: ‘Optimal operation of multi-microgrid aggregation based on landscape theory’, Power Syst. Technol., 2015, 43, (16), pp. 50–56.
    2. 2)
      • 1. ‘European Research Project More MicroGrids’. Available at http://microgrids.power.ece.ntua.gr, accessed 15 May 2016.
    3. 3)
      • 5. Wang, C., Li, Y., Peng, K., et al: ‘Coordinated optimal design of inverter controllers in a micro-grid with multiple distributed generation units’, IEEE Trans. Power Syst., 2013, 28, (3), pp. 2679–2687.
    4. 4)
      • 2. Rokrok, E., Golshan, M.E.H.: ‘Adaptive voltage droop scheme for voltage source converters in an islanded multibus microgrid’, IET Gener. Transm. Distrib., 2010, 4, (5), pp. 562–578.
    5. 5)
      • 3. Vasiljevska, J., Lopes, J.P., Matos, M.A.: ‘Evaluating the impacts of the multi-microgrid concept using multicriteria decision aid’, Electr. Power Syst. Res., 2012, 91, (91), pp. 44–51.
    6. 6)
      • 4. Guerrero, J.M., Loh, P.C., Lee, T.-L., et al: ‘Advanced control architectures for intelligent microgrids-part II: power quality, energy storage, and AC/DC microgrids’, IEEE Trans. Ind. Electron., 2013, 60, (4), pp. 1263–1270.
    7. 7)
      • 6. Zhao, M., Chen, Y., Shen, C., et al: ‘Characteristic analysis of multi-microgrids and a pilot project design’, Power Syst. Technol., 2015, 39, (6), pp. 1469–1476.
    8. 8)
      • 7. Yu, L., Chen, Q., Duan, L., et al: ‘Analysis on interconnectivity of multi-microgrids under fault condition of distribution network’, Power Syst. Technol., 2015, 39, (3), pp. 682–689.
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