Distribution Network Fault Reconfiguration with Distributed Generation Based on Ant Colony Algorithm

Abstract:

With the development of Smart Grid, the permeability of distributed generation (DG) is increased gradually. When a fault happens in systems branch, DG plays a significant role in ensuring a continuous supply to the load points as many as possible. This paper uses ant colony algorithm to achieve distribution network fault reconstruction with distributed generation, in order to guarantee the load points to restore power as many as possible, and the network system having the minimum loss at the same time. The optimization process is divided into two parts: first, In case of DG power supply capacity known, we optimize the capacity of the Island formed on DG, in order to determine the nodes of the island. Then, we optimize the isolated system and the main distribution system separately, in order to find the system radiation structure of minimum network loss. Finally, the IEEE 33 nodes distribution network is used as an example to testify the effectiveness of ant colony algorithm.

• Periodical: Advanced Materials Research (Volumes 732-733)
• Pages: 1328-1333
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.732-733.1328
• Online since: August 2013
• Authors: Qian Wang, Lu Meng
• Keywords: Ant Colony Algorithm (ACA), Capacity Optimization, Distributed Generation (DG), Distribution Network, Fault Reconstruction, Island, Network Optimization

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