摘要
建筑减排是实现中国碳达峰和碳中和目标的重要途径,而丰富的负荷侧调控手段是新型电力系统的发展趋势和要求。提出了一种高比例光伏接入的低碳楼宇电能管理框架,楼宇可控负荷包含电动汽车智慧充电桩群和温控负荷。考虑用户响应度和楼宇用电最大需量约束,建立了基于电动汽车接入楼宇(V2B)技术的电动汽车智慧充电桩群模型和基于舒适度范围的温控负荷模型,以购电费用与激励费用之和最小为目标,求解楼宇的日发用电计划。基于碳减排量,设计了需求侧的环境友好评估指标,用于衡量楼宇的节能效果。以两部制分时电价为背景,选取夏季高温日的办公楼宇为算例,验证所建模型在极端天气下的电能调控能力。结果表明所建模型能有效降低楼宇的月度需量阈值,同时通过空调节能和光伏利用等措施显著降低了楼宇的碳排放量。
Building emission reduction is an important way to achieve the goal of carbon peak and carbon neutral in China,and abundant load-side regulation measures are the development trend and requirement of new power systems.The low-carbon building energy management framework with high penetration of solar energy is proposed.The controllable load in the building includes the EV(Electric Vehicle)smart charging pile groups and the thermostatically controlled load.Considering the constraints of users’responsiveness and building’s maximum electricity demand,the EV smart charging pile group model based on V2B(Vehicle-to-Building)technology and the thermostatically controlled load model based on comfort range are established,with the goal of minimizing the sum of electricity purchase cost and incentive cost,to obtain the daily power generation and consumption plan of building.Based on the carbon emission reduction,a demand-side environmental-friendly assessment index is designed to measure the energy saving effect of buildings.Taking the two-part time-of-use electricity price as the background,an office building on a high temperature day in summer is selected as the example to verify the energy regulation ability of the proposed model under extreme weather.The results show that the model can effectively reduce the monthly demand threshold of the building,and can significantly reduce the carbon emission of the building through measures such as energy saving of air conditioning and photovoltaic utilization.
作者
余苏敏
杜洋
史一炜
苏浩
冯冬涵
周云
李恒杰
YU Sumin;DU Yang;SHI Yiwei;SU Hao;FENG Donghan;ZHOU Yun;LI Hengjie(Key Laboratory of Control of Power Transmission and Conversion,Ministry of Education,Shanghai Jiao Tong University,Shanghai 200240,China;Electric Power Research Institute,State Grid Shanghai Municipal Electric Power Company,Shanghai 200437,China;School of Electrical Engineering and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2021年第9期95-101,共7页
Electric Power Automation Equipment
基金
上海市青年科技英才扬帆计划项目(19YF1423800)
上海恒能泰企业管理有限公司科技项目(2021jj7ZY)
上海交通大学新进教师启动计划项目(21X010500727)。
关键词
智慧充电
V2B
建筑减排
温控负荷
低碳楼宇
优化调度
smart charging
V2B
building emission reduction
thermostatically controlled load
low-carbon building
optimal scheduling