Research on Resource Clustering Method of Virtual Power Plant Architecture Based on Cloud-Group-Edge Collaboration

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The proceedings of the 16th Annual Conference of China Electrotechnical Society

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 891))

Abstract

Virtual Power Plant (VPP) can control multiple types of distributed resources through information integration, use the flexible adjustment capabilities of various distributed resources to improve energy utilization, and reduce the pressure on the calculation of the dispatch center. First, this paper designs a cloud-cluster-edge collaborative virtual power plant architecture. The edge server is used at the edge layer to obtain a cluster model reflecting the overall external characteristics of the aggregated resources; the cluster model is aggregated at the cluster layer, and the aggregated parameters are uploaded to the cloud Make intelligent decisions. Then, in order to realize the multi-energy complementary coupling, three typical resource cluster methods are summarized to realize the dimensionality reduction of distributed resource integration. Finally, using the parameters of a virtual synchronous machine (VSM), the VPP after the cluster is equivalent to a VSM, and a method of equivalent VSM is studied and proposed. The equivalent value is a VSM and then interacts with the cloud layer. Reduce the pressure of the clouds, and verify the effectiveness of the VSM equivalent model through simulation.

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Correspondence to Zhou Wang .

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Wang, Z., Liu, D., Su, Z. (2022). Research on Resource Clustering Method of Virtual Power Plant Architecture Based on Cloud-Group-Edge Collaboration. In: He, J., Li, Y., Yang, Q., Liang, X. (eds) The proceedings of the 16th Annual Conference of China Electrotechnical Society. Lecture Notes in Electrical Engineering, vol 891. Springer, Singapore. https://doi.org/10.1007/978-981-19-1532-1_65

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  • DOI: https://doi.org/10.1007/978-981-19-1532-1_65

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1531-4

  • Online ISBN: 978-981-19-1532-1

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