This paper addresses the issue of low-carbon equipment selection for power grids under the dual-carbon objective, calculates the carbon emission intensity of users by tracing their power sources and quantities, and the NB-IoT IoT collects data from power grids to realize the collection and monitoring of carbon footprints. Based on the life cycle cost calculation of carbon emissions, with the modeling objective of minimizing the carbon emission penalty cost and equipment construction and installation cost for a typical day of distribution network, substation power constraints, grid constraints, equipment configuration and operation power constraints are set to establish a framework for coordinated optimal configuration. Combined with the theory of internalization of externalities, the marginal integrated cost of equipment selection backup is defined, and the optimized selection of low-carbon equipment is realized with the goal of minimizing the marginal integrated cost. The application results show that the LCC assessment proposed in this paper has the smallest error compared with the LCA assessment result of 30t, and the relative errors of the NB-IoT IoT acquisition system are 1.14%, 1.26%, and 0.58%, and the model accuracy is more. The actual costs of carbon footprint, transformer, photovoltaic inverter, and energy storage equipment are 482,000, 495,000, 502,000, and 476,000 yuan, which are more in line with the actual costs.The average cost of LCC assessment of tariff changes is 6,172,700 yuan, and the average cost of discount rate is 6,285,700 yuan, which is obvious in terms of economic benefits, and it can provide systematic and quantifiable decision-making support for the selection of low-carbon equipment for power grids.
