Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

The optimization of DG capacity using PSO based on immune algorithm

Authors
Rui Ma
Corresponding Author
Rui Ma
Available Online June 2016.
DOI
https://doi.org/10.2991/mecs-17.2017.19How to use a DOI?
Keywords
particle swarm optimization (PSO) algorithm, active distributed generation (ADN), immune algorithm, active management (AM)
Abstract
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 [1] 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.
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Volume Title
Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-352-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecs-17.2017.19How to use a DOI?
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  -