An assessment method for the carrying capacity of distributed photovoltaic in distribution networks based on the improved simulated annealing, particle swarm optimization algorithm

At present, the scale of distributed photovoltaic access is growing rapidly, and traditional distribution networks are facing challenges in terms of security and stability. The accurate assessment of photovoltaic carrying capacity has become an urgent problem to be solved. To address the above challenges, this study proposes an assessment method for the distributed photovoltaic carrying capacity of distribution networks based on the improved simulated annealing - particle swarm optimization algorithm. The article first constructs an assessment model for the carrying capacity of distributed photovoltaic power in distribution networks and then solves this model from the aspects of initial parameters and fitness evaluation. The simulation experiment results show that the proposed method has significant improvements in both computational efficiency and evaluation accuracy compared with the traditional static capacity ratio evaluation method.