检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:陈鹏伟 陶顺 肖湘宁 李璐 张剑 CHEN Pengwei TAO Shun XIAO Xiangning LI Lu ZHANG Jian(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China)
机构地区:[1]新能源电力系统国家重点实验室(华北电力大学),北京市102206
出 处:《电力系统自动化》2017年第3期61-69,共9页Automation of Electric Power Systems
基 金:国家自然科学基金资助项目(51207051);中央高校基本科研业务费专项资金资助项目(2016XS02)~~
摘 要:用电行为短时间尺度相关关系是用户精细化管理与智能配用电的重要决策基础。建立了针对短时间尺度用电行为相关性的网络化分析方法。首先,由描述短时间尺度用电功率序列间相关性的皮尔逊相关系数构造用电行为相关矩阵,为减小随机用电行为与测量误差等无序噪声信息对相关矩阵的影响,引入随机矩阵理论对相关矩阵进行去噪,并提出利用特征值谱熵的正则化修正方法。然后,基于相关矩阵构建了相关矩阵分阶与同级网络序列,提出了基于社团结构的相关性聚类方法与基于最小树的相关性等级结构挖掘方法;定义了量度用电相关性的拓扑指标,从而构造了用电行为相关性聚类分析与等级分析的网络模型,并就模型的典型应用场景进行了讨论。最后,通过实例数据验证了上述去噪方法、相关性分析网络模型及指标的有效性。The short-term correlation of electricity consumption behavior is the important decision basis for user meticulous management and intelligent distribution. In this paper, a network method is first proposed to analyze the correlation matrix of electricity sequences. In order to eliminate the effects of noise information from the random behavior and measurement error, random matrix theory is adopted for correlation matrix denoising, and regularization correction exploiting eigenvalue spectrum entropy is also introduced. Then, according to the tiered and peer network sequences constructed from the filtered correlation matrix, a correlation clustering method based on community structure and a hierarchy mining method based on minimum spanning tree are proposed for detailed analysis, including topological indicators to characterize the dynamic evolution of correlation network, as well as the discussion of the model application. Case studies with instance data verify the validity of the proposed denoising method, network analysis model and indicators.
关 键 词:相关性 随机矩阵理论 谱熵 社团结构 最小生成树
分 类 号:TM73[电气工程—电力系统及自动化]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.200