Active Islanding Strategy for Distribution Networks Containing Distributed Generation
With the increasing share of distributed generation in the power market, the intelligent operation of power grids, operation costs, and fault-based repair strategies of distribution networks are all affected. For the challenges brought by this new situation, an in-depth study of the island partition strategy for distribution networks containing distributed generation sources is crucial for improving the operational stability, power supply reliability, and power supply quality of distribution networks. After introducing some basic concepts of island partition, this paper proposes that in order to realize islanding, the principles of network topology, matching degree of distributed generation output and load demand must be satisfied. Then for the inadequacy of the current island partition strategy in the optimization degree, a more reasonable and efficient optimization scheme is provided after analysis and comparison. The scheme takes into account the core elements of distributed generation output characteristics, network structure and load demand, and combines the constraints of voltage, current and load classification, and finally selects the depth-first search algorithm for island partition. Finally, in order to verify the rationality and feasibility of the algorithm, simulation is carried out with the help of the IEEE 33-node system, and compared and analyzed with the actual operation data. The results show that the strategy has significant advantages in improving power supply reliability, reducing network loss and optimizing resource allocation.
Authors
- Tingjun Li (ORCID: https://orcid.org/0000-0003-0326-4979)
- Bai Hua (ORCID: https://orcid.org/0000-0002-0569-1096)
- Han Xiaoqing (ORCID: https://orcid.org/0000-0001-9126-907X)
- Xia Xinyu
- Jiao Shuaichao
Institutions
- Taiyuan University of Technology (CN)
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/ei264398.2024.10991591
- Primary Topic
- Islanding Detection in Power Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China