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

<p>With the increasing scale and complexity of power systems, it is gradually difficult for the traditional central control system to meet the control and management needs of the new power systems. In this paper, a control strategy based on multi-terminal information fusion is proposed to fuse and integrate the information from different control nodes to form a global new power system control strategy. A hierarchical cluster-based control node organization is also proposed to organize the control nodes according to function and hierarchy to realize the cooperative control and maximum power point tracking of the new power system. Finally, the effectiveness of the effect of the cooperative control strategy is verified by modeling and simulating the cooperative control network of the new power system. The simulation results show that the charge frequency fluctuation range is stable in [46.38Hz, 55.15Hz] for all three scenarios, which is only 0.02Hz away from the lower limit of the set allowable frequency fluctuation range [46.35Hz, 56.38Hz], indicating that the cooperative control strategy stabilizes the charge frequency fluctuation within the effective range. Therefore, this paper achieves further exploration of the optimization and improvement of the new power system cooperative control network, which achieves more efficient, stable, and reliable power system control and management.</p>
</abstract>

With the increasing scale and complexity of power systems, it is gradually difficult for the traditional central control system to meet the control and management needs of the new power systems. In this paper, a control strategy based on multi-terminal information fusion is proposed to fuse and integrate the information from different control nodes to form a global new power system control strategy. A hierarchical cluster-based control node organization is also proposed to organize the control nodes according to function and hierarchy to realize the cooperative control and maximum power point tracking of the new power system. Finally, the effectiveness of the effect of the cooperative control strategy is verified by modeling and simulating the cooperative control network of the new power system. The simulation results show that the charge frequency fluctuation range is stable in [46.38Hz, 55.15Hz] for all three scenarios, which is only 0.02Hz away from the lower limit of the set allowable frequency fluctuation range [46.35Hz, 56.38Hz], indicating that the cooperative control strategy stabilizes the charge frequency fluctuation within the effective range. Therefore, this paper achieves further exploration of the optimization and improvement of the new power system cooperative control network, which achieves more efficient, stable, and reliable power system control and management.

Construction of intelligent energy measurement system suitable for energy block chain technology

Applied Mathematics and Nonlinear Sciences

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

With the increasing scale and complexity of power systems, it is gradually difficult for the traditional central control system to meet the control and...

Construction of intelligent energy measurement system suitable for energy block chain technology

Publié en ligne: 17 oct. 2023

Pages: -

Reçu: 20 déc. 2022

Accepté: 27 avr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00698

Mots clés
New power system, Multi-terminal information fusion, Hierarchical clustering, Cooperative control, Power point tracking

© 2023 Qing Wang et al., published by Sciendo

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

Construction of intelligent energy measurement system suitable for energy block chain technology

Publié en ligne: 17 oct. 2023

Pages: -

Reçu: 20 déc. 2022

Accepté: 27 avr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00698

Mots clésNew power system, Multi-terminal information fusion, Hierarchical clustering, Cooperative control, Power point tracking

© 2023 Qing Wang et al., published by Sciendo

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

Mots clés
New power system, Multi-terminal information fusion, Hierarchical clustering, Cooperative control, Power point tracking