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作 者:刘道伟[1] 张东霞[1] 孙华东[1] 马世英[1] 李柏青[1] 朱朝阳[1] 易俊[1] 郑超[1] 秦晓辉[1] 许鹏飞[1] 杨学涛[1]
机构地区:[1]中国电力科学研究院,北京市海淀区100192
出 处:《中国电机工程学报》2015年第2期268-276,共9页Proceedings of the CSEE
基 金:国家自然科学基金项目(51207143);国家863高技术基金项目(2011AA05A119)~~
摘 要:广域测量系统实测信息及故障集仿真结果构成了电网时空大数据,如何采用大数据技术对它们进行快速、高效地挖掘,实现大电网在线安全评估与防御是智能电网核心目标之一。从电网广域时空量测信息角度,解释了电网时空大数据的内涵,提出大电网在线稳定态势评估与自适应防御体系(stability situation assessment and adaptive defense control system,ST-SADC)的整体架构及关键技术。ST-SADC以大数据分析与处理为底层技术支撑,基于广域时空量测信息实现大电网稳定态势量化评估及主导环节的反映射虚拟建模,进而实现轨迹型自适应防御控制。针对当前技术现状,讨论了ST-SADC循环递进式研究路线。该体系可进一步提高广域时空量测信息的挖掘深度和广度,最终提升大电网轨迹型智能化预警和防控能力。Power system spatio-temporal big data consists of real-time information from wide area measurement system(WAMS) and simulation results in terms of contingencies. To mine the big data quickly and efficiently, and hence to realize on-line security assessment and control of large scale power systems is one of the core objectives of smart grid. From the prospective of wide area spatio-temporal measurement information, the concept was expounded of power system spatio-temporal big data. The structure and key technologies of power system on-line stability situation assessment and adaptive defense control system(ST-SADC) were proposed.ST-SADC realizes reverse projection virtual modeling: a critical link in power system stability situation quantitative assessment, to utilize big data analysis and proceeding technology and wide area spatio-temporal measurement information. Trajectory type adaptive defense control was thus realized. Current achievements of relevant technology acknowledged, cycle progressive research itinerary was addressed of ST-SADC. Establishing ST-SADC will further expand and deepen wide area spatio-temporal measurement information mining, and finally increase the ability of trajectory type power system security warning and control.
关 键 词:时空大数据 广域测量系统 稳定态势 量化评估 自适应防控
分 类 号:TM76[电气工程—电力系统及自动化]
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