Two-stage capacity optimization of renewable energy multi-energy complementary system
With the continuous promotion of"double carbon"policy,multi-energy complementary system of renewable energy has become a research hotspot in the energy field.To solve the problem of system capacity configuration,an optimization objective function was constructed with dynamic investment payback period,CO2 emissions,and renewable energy consumption ratio as evaluation indices prioritizing overall performance with investment cost as a secondary factor.A two-stage capacity optimization method based on orthogonal design and intelligent algorithm was proposed,and a case study was conducted on an office building in Nanjing.The results show that compared with the maximum rectangular method and the orthogonal experiment method,the two-stage optimization method can effectively improve the overall performance of the system,demonstrating its superiority.By appropriately configuring the capacity of the energy storage device,the impact caused by the unstable power output of the equipment can be mitigated,thereby optimizing system performance.In addition,the comparison of different optimization parameter schemes show that the parameters used in this paper can provide references for related research.
万方数据
维普
