CAPACITY CONFIGURATION OF ROOFTOP INTEGRATED PHOTOVOLTAIC-STORAGE SYSTEM CONSIDERING SOURCE-LOAD UNCERTAINTY
Photovoltaic power generation on building roof is an effective measure to increase the proportion of renewable energy in terminal energy consumption structure and reduce energy costs for users.Aiming at the capacity configuration problem of rooftop integrated photovoltaic-storage(RIPVS)systems in buildings,an optimal capacity configuration decision-making method that takes into account uncertainties of source-load is proposed.Based on uncertainties of source-load modeling of photovoltaic output and load,the source-load coupled meteorological feature set is constructed with meteorological factors,and the K-means clustering method is applied to achieve the source-load scenario reduction in order to portray uncertainties of source-load.A multi-scenario optimal capacity configuration model is established with the goal of minimizing the whole-life-cycle cost of RIPVS system,and multi-dimensional indexes reflecting the techno-economics of the alternative schemes are obtained by solving the model,and the optimal scheme is finally determined by using the improved entropy weight method.The effectiveness of the proposed decision-making method is verified by taking the capacity configuration of RIPVS system in a commercial building as an example.
rooftop photovoltaicphotovoltaic-storage systemcapacity configurationuncertainties of source-loadimproved entropy weight method
万方数据
维普
