Research Article
Particle Swarm Optimization with Various Inertia Weight Variants for Optimal Power Flow Solution
| Population size | 20 |
| Generations | 200 | Acceleration coefficients | 2 | Inertia weight | As proposed in (4.2) | Number of load flows | | (Population Generations) | 4000 | Stopping criteria | (i) When the difference between the results of the two consecutive iterations is 0.000001 | (ii) The number of iterations reaches 200 |
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