考虑异构负荷集群多重舒适度的光储直柔建筑能量管理策略OA

Implementing photovoltaic-energy storage-direct current-flexible(PEDF)technology to build green buildings is crucial.Fully tapping into the energy-saving potential on the demand side of buildings is also essential.Both efforts are vital for achieving sustainable energy development and building a green,low-carbon society.However,the large and heterogeneous load groups in buildings pose significant challenges to developing unified regulation methods and standards.This paper proposes an energy management strategy for PEDF buildings that considers the multiple comfort levels of heterogeneous load clusters to these address challenges.First,to address the difficulty of unified modeling for a large number of heterogeneous loads,this paper presents an improved K-means algorithm based on dynamic time warping(DTW)and secondary clustering of load operation periods.Models are then established based on the clustering results,and the effectiveness of the clustering method is verified using typical daily load data from summer and winter seasons.Then,considering the multi-parameter coupling effects of the indoor environment,an economic-multi-comfort coupling model is constructed.This model integrates economic factors with multidimensional comfort indicators,including thermal comfort,air quality comfort,auditory comfort,and visual comfort.Furthermore,this paper employs a non-dominated sorting genetic algorithm II(NSGA-II)algorithm to conduct multi-objective optimization of typical flexible loads,as well as aggregated equivalent energy storage from building-owned energy storage and electric vehicle aggregated equivalent energy storage(EV-AES).Finally,simulation verification of the load within a PEDF building is performed using a typical day in summer as examples.