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Design and Analysis of Flexible Multi-Microgrid Interconnection Scheme for Mitigating Power Fluctuation and Optimizing Storage Capacity

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  • Jianqiao Zhou

    (Department of Electrical Engineering, School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University, Shanghai 200240, China
    Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China)

  • Jianwen Zhang

    (Department of Electrical Engineering, School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University, Shanghai 200240, China
    Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China)

  • Xu Cai

    (Department of Electrical Engineering, School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University, Shanghai 200240, China
    Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China)

  • Gang Shi

    (Department of Electrical Engineering, School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University, Shanghai 200240, China
    Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China)

  • Jiacheng Wang

    (Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC V3T 0A3, Canada)

  • Jiajie Zang

    (Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC V3T 0A3, Canada)

Abstract

With the rapid increase of renewable energy integration, more serious power fluctuations are introduced in distribution systems. To mitigate power fluctuations caused by renewables, a microgrid with energy storage systems (ESSs) is an attractive solution. However, existing solutions are still not sufficiently cost-effective for compensating enormous power fluctuations considering the high unit cost of ESS. This paper proposes a new flexible multi-microgrid interconnection scheme to address this problem while optimizing the utilization of ESSs as well. The basic structure and functions of the proposed scheme are illustrated first. With the suitable power allocation method in place to realize fluctuation sharing among microgrids, the effectiveness of this scheme in power smoothing is analyzed mathematically. The corresponding power control strategies of multiple converters integrated into the DC common bus are designed, and the power fluctuation sharing could be achieved by all AC microgrids and DC-side ESS. In addition, a novel ESS sizing method which can deal with discrete data set is introduced. The proposed interconnection scheme is compared with a conventional independent microgrid scheme through real-world case studies. The results demonstrate the effectiveness of the interconnected microgrid scheme in mitigating power fluctuation and optimizing storage capacity, while at the expense of slightly increased capacity requirement for the AC/DC converters and construction cost for DC lines. According to the economic analysis, the proposed scheme is most suitable for areas where the distances between microgrids are short.

Suggested Citation

  • Jianqiao Zhou & Jianwen Zhang & Xu Cai & Gang Shi & Jiacheng Wang & Jiajie Zang, 2019. "Design and Analysis of Flexible Multi-Microgrid Interconnection Scheme for Mitigating Power Fluctuation and Optimizing Storage Capacity," Energies, MDPI, vol. 12(11), pages 1-21, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2132-:d:236975
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    References listed on IDEAS

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    1. Björn Nykvist & Måns Nilsson, 2015. "Rapidly falling costs of battery packs for electric vehicles," Nature Climate Change, Nature, vol. 5(4), pages 329-332, April.
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    1. Bandeiras, F. & Pinheiro, E. & Gomes, M. & Coelho, P. & Fernandes, J., 2020. "Review of the cooperation and operation of microgrid clusters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    2. Hong-Chao Gao & Joon-Ho Choi & Sang-Yun Yun & Seon-Ju Ahn, 2020. "A New Power Sharing Scheme of Multiple Microgrids and an Iterative Pairing-Based Scheduling Method," Energies, MDPI, vol. 13(7), pages 1-20, April.

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