The optimization of DG capacity using PSO based on immune algorithm
Available Online June 2016.
- https://doi.org/10.2991/mecs-17.2017.19How to use a DOI?
- particle swarm optimization (PSO) algorithm, active distributed generation (ADN), immune algorithm, active management (AM)
- For the model of optimization of DG accession capacity, improved Newton-Raphson algorithm is used to calculate the power flow. The particle swarm optimization algorithm based on immune is used to optimize the model, and the maximum capacity of DG is obtained. Finally, the IEEE 33-bus distribution system  is used as an example to verify, the power flow and node voltage are calculated separately before and after the DG connected to distribution network and the system indicators are compared to come into four conclusions.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Rui Ma PY - 2016/06 DA - 2016/06 TI - The optimization of DG capacity using PSO based on immune algorithm BT - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017) PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/mecs-17.2017.19 DO - https://doi.org/10.2991/mecs-17.2017.19 ID - Ma2016/06 ER -