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.
Authors
- Jun Cui (ORCID: https://orcid.org/0000-0002-4721-8184)
- Kun Xu (ORCID: https://orcid.org/0000-0002-3985-739X)
- Xuan-Kien Dang (ORCID: https://orcid.org/0000-0002-5367-3992)
- L C Gao (ORCID: https://orcid.org/0009-0008-5699-1591)
- Wei Duan (ORCID: https://orcid.org/0000-0003-1678-9520)
- Qun Wang (ORCID: https://orcid.org/0000-0001-7594-8312)
- Yu Wang (ORCID: https://orcid.org/0000-0002-3639-3147)
- Tingting Hu (ORCID: https://orcid.org/0000-0001-8137-9937)
Institutions
- Tianjin Research Institute of Electric Science (China) (CN)
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
Funders
- State Grid Tianjin Electric Power Company