| In recent years,electric vehicles have been vigorously promoted in China due to the advantages such as replacing oil with electricity and not emitting harmful gases.Under this background,how to configure the number and types of charging piles in office buildings during the design period,and how the office building energy system and charging piles should operate when a large number of electric vehicles are connected during the operation period,are problems of practical significance.However,there are few researches on the charging facilities configuration method for the parking lot of office building,and the researches on the optimization electric vehicles charging strategy for the building also lack the consideration of the uncertainty of the electric vehicle charging load and often ignore the coordination with air conditioning.According to the background and research gaps,this study researches the electric vehicles charging load prediction model,the method of optimal configuration of charging facilities for parking lots of office buildings,and the comprehensive optimization operation strategy when electric vehicles are connected to the building.This study collects and analyzes the commuting habits of Chinese car users through questionnaire surveys,then compares survey results with the national household travel survey(NHTS)database,and establishes an electric vehicle charging load prediction model that meets China’s national conditions.A sensitivity analysis method based on standard regression coefficients is proposed to analyze the impact of various uncertain factors on the charging load.On this basis,a genetic algorithm-based optimization method for the configuration of charging facilities in parking lots of office buildings,as well as a comprehensive optimization operation strategy for buildings that considers the uncertainty of electric vehicles charging load are proposed.The former can make the configuration scheme reduce the idleness of charging piles under the premise of meeting the rapidly increasing charging demand,and the latter can ensure the stable operation of the building energy system.The results show that there is a clear difference between the commuting travel characteristics of local Chinese users and that of NHTS in terms of arrival time and commuting distance.All slow charging scheme and fast-slow combined charging scheme are more suitable for office buildings.The optimization configuration method proposed in this paper can significantly improve the utilization rate of charging facilities and the satisfaction rate of charging requirements.Taking an office building as an example,when the design life is 5 years and 10 years,the sum of the facility utilization rate and the charging satisfaction rate are respectively increased by 8.18% and 17.45%.In addition,compared with the deterministic strategy,the optimization operation strategy proposed in this paper that considers the uncertainty of the electric vehicle charging load can reduce the arrival non-guarantee rate from 12.23% to 6.55%,and reduce the charging demand non-guarantee rate from 24.03% to 9.39 %,which has superior robustness. |