Multi-Objective Low-carbon Optimization of UHVDC System Based on AP-NSGA-II Algorithm

Background: Ultra-High Voltage Direct Current (UHVDC) system has a wide range of applications in the energy field, and its transmission process will cause a large amount of carbon loss. To reduce carbon loss under the premise of ensuring safety, it is necessary to construct a carbon loss model of the UHVDC transmission system. Methods: In this study, we propose a multi-objective optimization model to achieve the goal of low-carbon emissions, which considers carbon transaction costs and equipment safety and proposes initialization improvement and congestion improvement. Results: Compared with the mainstream optimization algorithms, the results show that the improved model achieves at least a 29.97 % effect in reducing carbon loss, reduces the carbon loss by 1222.79 t, meets the requirements of the low carbon loss, transaction cost and high safety, and realizes the triple goals of UHVDC transmission system. Conclusion: The model we proposed can effectively reduce carbon loss and carbon trading costs on the premise of ensuring safety.