Reducing the input wind and photovoltaic power time series data can improve the efficiency of time sequential simulations.In this paper,a wind and photovoltaic power time series data aggregation method based on an ens...Reducing the input wind and photovoltaic power time series data can improve the efficiency of time sequential simulations.In this paper,a wind and photovoltaic power time series data aggregation method based on an ensemble clustering and Markov chain(ECMC)is proposed.The ECMC method can effectively reduce redundant information in the data.First,the wind and photovoltaic power time series data were divided into scenarios,and ensemble clustering was used to cluster the divided scenarios.At the same time,the Davies-Bouldin Index(DBI)is adopted to select the optimal number of clusters.Then,according to the temporal correlation between wind and photovoltaic scenarios,the wind and photovoltaic clustering results are merged and reduced to form a set of combined typical day scenarios that can reflect the characteristics of historical data within the calculation period.Finally,based on the Markov Chain,the state transition probability matrix of various combined typical day scenarios is constructed,and the aggregation state sequence of random length is generated,and then,the combined typical day scenarios of wind and photovoltaic were sampled in a sequential one-way sequence according to the state sequence and then are built into a representative wind and photovoltaic power time series aggregation sequence.A provincial power grid was chosen as an example to compare the multiple evaluation indexes of different aggregation methods.The results show that the ECMC aggregation method improves the accuracy and efficiency of time sequential simulations.展开更多
我国风电产业进入了从起步的孤立经营阶段到产业化发展阶段的过渡时期,出现了产业链盈利模式单一、资源分配不平衡、缺乏整合性和难以有效管理等问题。从产业价值链的角度,在分析传统风电产业价值链的基础上,通过构建风电产业价值链全...我国风电产业进入了从起步的孤立经营阶段到产业化发展阶段的过渡时期,出现了产业链盈利模式单一、资源分配不平衡、缺乏整合性和难以有效管理等问题。从产业价值链的角度,在分析传统风电产业价值链的基础上,通过构建风电产业价值链全面解决方案这种新型价值链模式,探讨其实现途径并搭建基于SaaS(Software as a Service,软件服务化)的价值链管理平台,以期解决我国风电产业化发展问题,并为风电产业的转型和增值提供理论支持。展开更多
基金supported by the National Key R&D Program of China(2017YFB0902200)Science and Technology Project of State Grid Corporation of China(4000-202255057A-1-1-ZN,5228001700CW).
文摘Reducing the input wind and photovoltaic power time series data can improve the efficiency of time sequential simulations.In this paper,a wind and photovoltaic power time series data aggregation method based on an ensemble clustering and Markov chain(ECMC)is proposed.The ECMC method can effectively reduce redundant information in the data.First,the wind and photovoltaic power time series data were divided into scenarios,and ensemble clustering was used to cluster the divided scenarios.At the same time,the Davies-Bouldin Index(DBI)is adopted to select the optimal number of clusters.Then,according to the temporal correlation between wind and photovoltaic scenarios,the wind and photovoltaic clustering results are merged and reduced to form a set of combined typical day scenarios that can reflect the characteristics of historical data within the calculation period.Finally,based on the Markov Chain,the state transition probability matrix of various combined typical day scenarios is constructed,and the aggregation state sequence of random length is generated,and then,the combined typical day scenarios of wind and photovoltaic were sampled in a sequential one-way sequence according to the state sequence and then are built into a representative wind and photovoltaic power time series aggregation sequence.A provincial power grid was chosen as an example to compare the multiple evaluation indexes of different aggregation methods.The results show that the ECMC aggregation method improves the accuracy and efficiency of time sequential simulations.
文摘我国风电产业进入了从起步的孤立经营阶段到产业化发展阶段的过渡时期,出现了产业链盈利模式单一、资源分配不平衡、缺乏整合性和难以有效管理等问题。从产业价值链的角度,在分析传统风电产业价值链的基础上,通过构建风电产业价值链全面解决方案这种新型价值链模式,探讨其实现途径并搭建基于SaaS(Software as a Service,软件服务化)的价值链管理平台,以期解决我国风电产业化发展问题,并为风电产业的转型和增值提供理论支持。
