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作 者:张自强[1] 申富泰 魏军[1] 刘宁[1] ZHANG Ziqiang;SHEN Futai;WEI Jun;LIU Ning(State Grid Gansu Electric Power Company,Lanzhou 730050,China)
机构地区:[1]甘肃省电力公司,兰州730050
出 处:《重庆理工大学学报(自然科学)》2023年第10期270-278,共9页Journal of Chongqing University of Technology:Natural Science
基 金:国网甘肃省电力公司科技项目(522723220009)。
摘 要:为分析光伏发电对电力系统的低碳贡献,提出光伏注入功率不确定性对电力系统碳排放流影响的分析方法。首先,通过光伏机组的出力与系统节点功率模型,建立光照强度与系统节点总碳流率的函数表达式。其次,使用有向通路算法计算路径输出分布因子矩阵,将光伏出力的随机性转移到平衡机组,在平衡机组与系统节点支路的碳流率关联矩阵基础上,计算光伏注入功率对节点与支路的影响因子,得到光伏注入功率下电力系统碳排放流的不确定特征。最后,以实测光照强度与IEEE14节点算例分析结果验证所述方法的正确性,计算光伏电场集中式与分布式接入电力系统的节点碳势、支路碳流率与影响因子,进而定量分析光伏接入对电力系统的低碳贡献。In order to analyze the low-carbon contribution of PV generation to the power system,this paper proposes an analysis method of the influence of PV injection power uncertainty on carbon emission flow of the power system.Firstly,through the output of photovoltaic units and a power model of system nodes,the functional expression of illumination intensity and the total carbon flow rate of the system nodes is established.Secondly,the directed path algorithm is used to calculate the path output distribution factor matrix,and the randomness of the PV output is transferred to a balance unit.Based on the correlation matrix of the carbon flow rate between the unit and the system node branches,the influence factors of the PV injection power on the nodes and branches are calculated,and the uncertain characteristics of the carbon emission flow in the power system under the PV injection power are obtained.Finally,the correctness of the proposed method is verified by the measured illumination intensity and the analysis results of IEEE14-node examples.The node carbon potential,branch carbon flow rate and influence factors of the centralized and distributed access power system of the photovoltaic electric field are calculated,and then the low-carbon contribution of photovoltaic access to the power system is quantitatively analyzed.
关 键 词:含光伏的电力系统 碳排放流 系统总碳流率 碳流率影响因子
分 类 号:TM711[电气工程—电力系统及自动化]
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