Research on Optimal Configuration of Landscape Storage in Public Buildings Based on Improved NSGA-II

The transition to clean and low-carbon energy in public buildings is crucial saving green social development. This paper focus on the sustainable development of construction complementary power generation systems existing buildings. In study, it was found that constraints storage system could not be satisfied, which would result failure for purpose peak regulation stable operation microgrid. order satisfy constraint conditions system, a spatial transformation method proposed improves Non-dominated Sorting Genetic Algorithm-II (NSGA-II). simulation results show (STNSGA-II) has advantages dealing with strong system. introduction can save 23.74% 31.17% from perspective optimal cost, reduce CO2 emissions by at least 2478 kg carbon emission reduction. study presents case transforming simple consumers active contributors supporting large-scale wind PV access.