Research on Optimization Operation Strategy of Distributed Power Supply in Distribution Network Based on Adaptive Particle Swarm Algorithm

Since the "carbon peak, carbon neutral" dual-carbon goals put forward, new energy in the future power system in the main position to be clear, the country also further promote the implementation of renewable energy substitution action and "clean, low-carbon, safe and efficient" energy system construction, build a new power system with new energy as the main body. New energy as the main body of the new power system. In this context, the energy saving and loss reduction of distribution network is also getting more and more attention. This paper analyzes the current situation of line loss of distribution network with distributed power supply access, fully summarizes the research dynamics and achievements of distributed power grid connection related issues at home and abroad, especially conducts an in-depth study on the impact mechanism of distributed power supply access to medium and low-voltage distribution network on line loss, and organizes the key factors of the impact of distributed power supply access to line loss of distribution network. By analyzing the impact of distributed power grid integration on distribution network line loss, a distributed power optimization model with the objective function of minimizing network loss and maximizing distributed power consumption is proposed, and the multi-objective optimal configuration model of distributed power is solved based on the adaptive particle swarm (AFIPSO) algorithm to validate the effectiveness of the proposed strategy by taking the IEEE-33 node distribution system as an example.