Research on Distributed Energy Consumption Strategy Considering Distribution Network Connection Characteristics

Under the dual-carbon target, a large number of new energy sources are connected to the grid, resulting in a lack of multi-resource regulation and consumption problems. Aiming at the distribution network with multiple flexible resources, this paper proposed a cooperative control strategy of distribution network reconstruction based on multi-objective resources. Firstly, combined with the characteristics of power distribution, a multi-objective optimization and reconfiguration model is established and the maximization of new energy utilization is set as the optimization goal, and comprehensively considered multiple factors such as power demand at each time of the power system, non-stationary characteristics of distributed energy output, and the number of interconnection switching switches. Secondly, the improved multi-objective particle swarm optimization method was used, genetic variation was added, and factors such as network equalization, distributed power supply, node voltage, and energy storage capacity were comprehensively considered, making the solution found closer to the real optimal solution and realizing the optimization of new energy consumption ratio. Finally, the optimized model and algorithm were verified by using IEEE-33 node, and it was proved that the multi-objective dynamic reconfiguration distributed energy consumption strategy was feasible, the electricity consumption and stability of the distribution network were improved, and the operation cost and network loss were reduced.