Distributed generations interconnection based on the clustering algorithm and graphy theory
- Publisher:
- IEEE
- Publication Type:
- Conference Proceeding
- Citation:
- 8th Renewable Power Generation Conference (RPG 2019), 2020, 2019, (CP764), pp. 320 (6 pp.)-320 (6 pp.)
- Issue Date:
- 2020
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| 09041563.pdf | Published version | 290.28 kB |
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© 2019 Institution of Engineering and Technology. All rights reserved. Because the renewable energy generation has obvious characteristics of spatiotemporal distribution and intermittence, the interconnection of various distributed generations and loads becomes an effective solution to achieve the reliable energy supply. Considering the type and distance of distributed generations, a weight-based clustering algorithm is proposed in this paper to divide the large-scale distributed generation into sub-areas and to further form structured microgrids. Between microgrids, the topology structure is achieved and optimized using the minimum spanning tree algorithm on the basis of clustering centers. In this way, the layout optimization of large-scale distributed energy can be solved. Finally, the effectiveness of the above optimization scheme is verified by simulations, which can provide a novel idea for building an economical and reliable distributed energy interconnection network.
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