Cluster partition method of high-penetration distributed photovoltaics for autonomous operation and control of distribution network

Manlin Huang; Hua Ye; Peile Ye; Qianying Mou; Wen Zhang

doi:10.1117/12.2689759

10 August 2023 Cluster partition method of high-penetration distributed photovoltaics for autonomous operation and control of distribution network

Manlin Huang, Hua Ye, Peile Ye, Qianying Mou, Wen Zhang

Author Affiliations +

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127484I (2023) https://doi.org/10.1117/12.2689759
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

With the widespread integration of distributed photovoltaics (PV), it is urgent to realize the autonomous operation and control of distribution networks with high-penetration PVs. Due to the complex structure of the power system, the cluster management model has emerged. The perquisite lies in intentionally partitioning the network into several clusters. For this purpose, this paper proposes a cluster partition method of distribution networks with high-penetration of PVs. First, a comprehensive performance index for partitioning is proposed. The comprehensive performance index fully considers the degree of intra-cluster node connectivity, power balance and communication cost of clusters. Further, an improved genetic algorithm is applied in this paper to search for the optimal partition scheme. Finally, the effectiveness and rationality of the proposed method have been demonstrated in the IEEE 33-bus distribution network.

Citation Download Citation

Manlin Huang, Hua Ye, Peile Ye, Qianying Mou, and Wen Zhang "Cluster partition method of high-penetration distributed photovoltaics for autonomous operation and control of distribution network", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127484I (10 August 2023); https://doi.org/10.1117/12.2689759

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