Abstract: Distributed generation（DG） is a device that generates power using clean energy sources, making it environmentally compatible and capable of meeting specific user demands for electricity. Therefore, integrating distributed generation into the grid not only helps ensure the safe operation of the grid and improve power supply reliability but also allows excess electricity to be fed back into the grid. However, the integration of distributed generation into the distribution network does not necessarily lead to a reduction in network losses or an improvement in grid stability. If the grid integration planning is not well-designed, it may even have adverse effects on the grid. Therefore, in the planning of distributed generation integration into the distribution network, selecting the appropriate connection point and capacity is crucial. In order to achieve optimal planning and design, this paper employs a differential algorithm known for its advantages such as simplicity in structure, ease of implementation, high optimization efficiency, simple parameter settings, and good robustness. Through simulation using Matlab, the optimal connection point is determined, the optimal capacity is calculated, and the optimal objective function is obtained, thereby achieving the best planning and design outcome.