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An optimal strategy for coordinating and dispatching “source-load” in power system based on multiple time scales
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作者 LIU Yan-feng DONG Hai-ying +1 位作者 WANG Ning-bo MA Ming 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2018年第4期388-396,共9页
Due to the phenomenon of abandoning wind power and photo voltage(PV)power in the“Three Northern Areas”in China,this paper presents an optimal strategy for coordinating and dispatching“source-load”in power system b... Due to the phenomenon of abandoning wind power and photo voltage(PV)power in the“Three Northern Areas”in China,this paper presents an optimal strategy for coordinating and dispatching“source-load”in power system based on multiple time scales.On the basis of the analysis of the uncertainty of wind power and PV power as well as the characteristics of load side resource dispatching,the optimal model of coordinating and dispatching“source-load”in power system based on multiple time scales is established.It can simultaneously and effectively dispatch conventional generators,wind plant,PV power station,pumped-storage power station and load side resources by optimally using three time scales:day-ahead,intra-day and real-time.According to the latest predicted information of wind power,PV power and load,the original generation schedule can be rolled and amended by using the corresponding time scale.The effectiveness of the model can be verified by a real system.The simulation results show that the proposed model can make full use of“source-load”resources to improve the ability to consume wind power and PV power of the grid-connected system. 展开更多
关键词 multiple time scales "source-load"coordination pumped-storage power station wind plant photovoltaic(PV)power station
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自动结构化数据的电商网站主题爬虫研究
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作者 张倩 林安成 廖秀秀 《计算机系统应用》 2018年第7期90-95,共6页
当前对于拥有海量数据的互联网,经常需要采集多个源站的结构化数据以用于数据分析、挖掘,而为不同网站定制数据采集程序的人工成本很高,本文提出了一种自动结构化网站数据的主题爬虫方案.以电商类网站为例,基于其具有统一层次结构、垂... 当前对于拥有海量数据的互联网,经常需要采集多个源站的结构化数据以用于数据分析、挖掘,而为不同网站定制数据采集程序的人工成本很高,本文提出了一种自动结构化网站数据的主题爬虫方案.以电商类网站为例,基于其具有统一层次结构、垂直领域拥有行业语料和规范的特点,从理论角度确定了结构化提取方案的可行性.提出相似重复检测和基于属性语义的标签匹配等算法,实现结构的分析和目标字段的匹配,并出于系统管理和调优的考虑,设计了预设匹配模板和结构分析结果复用机制.实际应用和错误率测试表明,本方案具有很强的可行性,能够大大减少人工编写的代码,错误率较低.设计思路可应用于其他领域的主题爬虫系统,快速获得多个站点的大量数据,将焦点更多地放在结构化数据的处理和信息挖掘. 展开更多
关键词 自动结构化 爬虫 标签匹配 多源站 电商网站
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