Reactive Power Optimization in Power System Based on Improved Multi-agent Ant Colony Optimization

摘要

As the disadvantages of the conventional ant colony optimization, such as convergence speed and local optimal value, an improved multi-agent ant colony optimization for reactive power optimization method is proposed. The improved sort-weighted ant colony optimization is combined with multi-agent system to improve convergence speed and calculation accuracy and to avoid falling into local optimal value effectively. Improved algorithm is applied to reactive power optimization in IEEE 30-node systems, the simulation results verify the validity of the algorithm.