Research on the Auxiliary Generation Technology of the Master-Distribution Coordinated dispatching preplan Based on the Dispatching and Control Cloud

In the operating environment of the new power system, it is necessary to accurately locate the dispatching preplan corresponding to various operating conditions. This paper conducts an in-depth study on the auxiliary generation technology of the master-distribution coordinated dispatching preplan based on Dispatching and Control Cloud. Firstly, using the depth-first traversal algorithm and multi-source data fusion technology, the relationship between the master and distribution network models is automatically established, realizing the dynamic splicing of the master and distribution network models, and establishing a $500 \mathrm{kV}-10 \mathrm{kV}$ power grid integrated graphic model. By calling the master-distribution integrated real-time measurement data or historical section data, adding constraints such as equipment carrying capacity, automatically analyzing and generating power grid accident preplans, special preplans, maintenance work risk preplans, single-item plans for specified equipment, etc., giving load transfer schemes, and supporting manual intervention and adjustment of the automatically generated plans. Finally, by introducing five main performance indicators, a comparison was made between the preplans generated with auxiliary and those manually formulated, demonstrating the superiority of the technology, provides a new method for the safe, stable and efficient operation of the power system, helps to improve the intelligent level and realizes the optimal allocation of resources.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/sgei63936.2024.10914299
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on the Auxiliary Generation Technology of the Master-Distribution Coordinated dispatching preplan Based on the Dispatching and Control Cloud

Jun Cui, Kun Xu, Xuan-Kien Dang, L C Gao et al.
Power Systems and Technologies
article

Research on the Auxiliary Generation Technology of the Master-Distribution Coordinated dispatching preplan Based on the Dispatching and Control Cloud

Jun Cui, Kun Xu, Xuan-Kien Dang, L C Gao, Wei Duan, Qun Wang, Yu Wang, Tingting Hu
article en

Abstract

In the operating environment of the new power system, it is necessary to accurately locate the dispatching preplan corresponding to various operating conditions. This paper conducts an in-depth study on the auxiliary generation technology of the master-distribution coordinated dispatching preplan based on Dispatching and Control Cloud. Firstly, using the depth-first traversal algorithm and multi-source data fusion technology, the relationship between the master and distribution network models is automatically established, realizing the dynamic splicing of the master and distribution network models, and establishing a $500 \mathrm{kV}-10 \mathrm{kV}$ power grid integrated graphic model. By calling the master-distribution integrated real-time measurement data or historical section data, adding constraints such as equipment carrying capacity, automatically analyzing and generating power grid accident preplans, special preplans, maintenance work risk preplans, single-item plans for specified equipment, etc., giving load transfer schemes, and supporting manual intervention and adjustment of the automatically generated plans. Finally, by introducing five main performance indicators, a comparison was made between the preplans generated with auxiliary and those manually formulated, demonstrating the superiority of the technology, provides a new method for the safe, stable and efficient operation of the power system, helps to improve the intelligent level and realizes the optimal allocation of resources.

Tianjin Research Institute of Electric Science (China) (CN)
State Grid Tianjin Electric Power Company
Openalex Percentile: Top 74%
Power Systems and Technologies
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