Research On Distributed Power Supply In Low-Energy Buildings Of Multi-Objective Optimization

As one of the important contents of the China‘s 13 th plan of five-year national development,low-energy buildings have attracted attention from all communities.The renewable energy is the most direct expression of energy efficiency in buildings.The integration of distributed generation and buildings is one of the necessary ways to realize low-energy buildings.“Bidirectional energy flow” technology such as ground-source heat pump,photovoltaic power generation,and battery energy storage commonly used in low-energy buildings,can maximize the benefits of renewable energy use.Using Multi-objective Theory in Uncertainty Theory,establish three target models,namely,the largest amount of distributed energy,the smallest user's electricity expenditure,and the largest system efficiency.Under the balancing investment costs,operating costs,and emission reduction benefits,the economic and environmental benefits generated by each target under different seasons,different times,different power sources,and different electricity prices have been analyzed.After analysing the weight coefficients of different sub-goals by analytic hierarchy process,finally,the optimal solution of multi-objective optimization with distributed power in low energy buildings is obtained.PVsyst software was used to design the building PV power generation system and obtain the PV power generation.Based on the PSCAD to build physical models,such as actual electricity load,PV power generation and storage batteries for office buildings.A low-energy office building in Tianjin as an example,the power flow calculations at different times,different supply power,different installation locations and different load rates were completed.So,the optimal solution to the multi-objective theoretical model of the low-energy office building was obtained.