TY  - JOUR
T1  - Optimal Power Flow Based on Bird Swarm Optimization and Genetic Algorithm
AU - Muhsin Abdul Majeed, Ahmed 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 21
SP  - 8034
EP  - 8038
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.8034.8038
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.8034.8038
KW  - bird optimization
KW  -optimization techniques
KW  -Optimal power flow
KW  -voltage magnitudes
KW  -bus test system
KW  -MATLAB
AB  - The most important demands for a power system is operating with a minimum cost with suitable
system constraints. The system constraints which kept within a satisfactory limits such as voltage magnitudes
of all load buses, real power, reactive power at each bus. This study proposed two optimization techniques: bird
swarm optimization and Genetic algorithm. These optimization techniques are implemented on IEEE 30 bus test
system. The model of proposed system is developed in the MATLAB and its simulated results have
demonstrated the satisfactory values.
ER  -