计及源-荷不确定性的屋顶集成光储系统容量配置  

CAPACITY CONFIGURATION OF ROOFTOP INTEGRATED PHOTOVOLTAIC-STORAGE SYSTEM CONSIDERING SOURCE-LOAD UNCERTAINTY

作　　者：黄大为[1] 殷航 曹旭东 杨茂[1] Huang Dawei;Yin Hang;Cao Xudong;Yang Mao(Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology,Ministry of Education(Northeast Electric Power University),Jilin 132012,China;Changchun Power Supply Company of State Grid Jilin Electric Power Co.,Ltd.,Changchun 130021,China)

机构地区：[1]现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林132012 [2]国网吉林省电力有限公司长春供电公司,长春130021

出　　处：《太阳能学报》2024年第10期363-372,共10页Acta Energiae Solaris Sinica

基　　金：国家重点研发计划(2022YFB2403001)。

摘　　要：利用建筑屋顶光伏发电是提高终端能源消费结构中可再生能源占比和降低用户能源成本的有效措施。针对建筑楼宇的屋顶集成光储(RIPVS)系统容量配置问题,提出计及源-荷不确定性的容量优化配置决策方法。在对光伏出力和负荷进行源-荷不确定性建模的基础上,以气象因素构建源-荷耦合气象特征集,运用K-均值聚类方法实现源-荷场景集削减,以刻画源-荷不确定性;建立以RIPVS系统全寿命周期成本最小化为目标的多场景容量优化配置模型,通过求解该模型获得反映备选方案技术经济的多维度指标,利用改进熵权法最终确定最优方案。以某商业楼宇的RIPVS系统容量配置为例,验证了所提决策方法的有效性。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.

关 键 词：屋顶光伏 光储系统 容量配置 源-荷不确定性 改进熵权法 

分 类 号：TM615[电气工程—电力系统及自动化]