<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Currently, high penetration distributed power generation group control technology makes it difficult to effectively regulate complex power grids. Therefore, on the ground of the division of distributed photovoltaic power generation clusters, this study proposes a dual-layer control model for distribution networks that integrates the cuckoo particle swarm algorithm and verifies its effectiveness. The experiment showcases that the standard deviations of the research algorithm on the four benchmark functions under the 50 dimension are 2.95e-02, 6.73e+02, 6.48e-04, and 6.45e-06, respectively, most of which are lower than the comparison algorithm. On the basis of connecting to the photovoltaic system, the voltage amplitude fluctuation of the double-layer control model designed through research using control algorithms is relatively small, basically maintaining around 1.05. In addition, after implementing control in practical applications, the actual line loss of the distribution network decreased from the maximum of 15.3% to 8.9%, meeting the line loss requirements of the actual distribution network, indicating the effectiveness of the double-layer control model.</p>
<p>Meanwhile, after applying the double-layer control model, the voltage fluctuation of node 42 significantly decreased, and the numerical value remained at 1.05 p.u., achieving a good voltage condition effect. The voltage fluctuation of grid connection in distributed power generation has been significantly improved when applied to the actual grid connection. Overall, the proposed dual-layer control model for the distribution network is effective and practical, which can effectively promote the construction of practical grid connection demonstration projects.</p>
</abstract>

Currently, high penetration distributed power generation group control technology makes it difficult to effectively regulate complex power grids. Therefore, on the ground of the division of distributed photovoltaic power generation clusters, this study proposes a dual-layer control model for distribution networks that integrates the cuckoo particle swarm algorithm and verifies its effectiveness. The experiment showcases that the standard deviations of the research algorithm on the four benchmark functions under the 50 dimension are 2.95e-02, 6.73e+02, 6.48e-04, and 6.45e-06, respectively, most of which are lower than the comparison algorithm. On the basis of connecting to the photovoltaic system, the voltage amplitude fluctuation of the double-layer control model designed through research using control algorithms is relatively small, basically maintaining around 1.05. In addition, after implementing control in practical applications, the actual line loss of the distribution network decreased from the maximum of 15.3% to 8.9%, meeting the line loss requirements of the actual distribution network, indicating the effectiveness of the double-layer control model.
Meanwhile, after applying the double-layer control model, the voltage fluctuation of node 42 significantly decreased, and the numerical value remained at 1.05 p.u., achieving a good voltage condition effect. The voltage fluctuation of grid connection in distributed power generation has been significantly improved when applied to the actual grid connection. Overall, the proposed dual-layer control model for the distribution network is effective and practical, which can effectively promote the construction of practical grid connection demonstration projects.

Distributed Power High Dynamic Group Control Technology and Grid Connection Demonstration

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Currently, high penetration distributed power generation group control technology makes it difficult to effectively regulate complex power grids. Therefore, on...

Distributed Power High Dynamic Group Control Technology and Grid Connection Demonstration

Online veröffentlicht: 27. Nov. 2023

Seitenbereich: -

Eingereicht: 19. Feb. 2023

Akzeptiert: 07. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01247

Schlüsselwörter
Distributed Power Supply, Group Control Technology, Cluster, High Permeability t

© 2023 Qing Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Distributed Power High Dynamic Group Control Technology and Grid Connection Demonstration

Online veröffentlicht: 27. Nov. 2023

Seitenbereich: -

Eingereicht: 19. Feb. 2023

Akzeptiert: 07. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01247

SchlüsselwörterDistributed Power Supply, Group Control Technology, Cluster, High Permeability t

© 2023 Qing Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Distributed Power Supply, Group Control Technology, Cluster, High Permeability t