Assessment and Optimization of the Impact of Hybrid Energy Systems on Power Line Losses
There is a certain degree of instability in the integration of hybrid energy into the distribution network system.This article applies particle swarm optimization algorithm and an improved particle swarm optimization algorithm based on simulated annealing to optimize the line loss of the hybrid energy system after integration into the distribution network,demonstrating the effectiveness of these two algorithms in reducing line loss.The experimental results show that both can effectively reduce line loss in the same scenario,but the improved particle swarm optimization algorithm based on simulated annealing not only improves the performance of optimizing line loss by 7.2%,but also outperforms traditional particle swarm optimization algorithms in local and global search capabilities,with faster convergence speed and stronger adaptability.At the same time,it proves that reasonable planning of mixed energy access can effectively reduce active power losses and provide strong guarantees for the normal and stable operation of the power system.
hybrid energypower systemline loss optimizationparticle swarm optimization algorithm
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