电力大数据全景实时分析关键技术

Key technology of power big data for global real-time analysis

针对智能电网建设过程中收集的电力大数据,基于电力系统全景实时数据分析的需求,探讨基于大数据的电力系统安全可靠性分析、实时状态监控及能源全景动态平衡调度等核心问题的解决思路。分析了利用大数据解决安全可靠性、设备全寿命周期管理及能源实时平衡调度等问题的挑战及解决思路,基于大规模实时多源细节数据和设备全景数据的计算,有助于提高系统分析的精度和准确度,保证电网安全运行;探讨了内存计算、实时流式大数据处理、大规模并行计算及列存储等技术在电力大数据实时分析中的应用;结合主流开源大数据处理技术,设计了电力大数据分析平台的分层体系架构,为电力系统的高效运行提供保证。

For power big data collected during smart grid construction process, based on the demand of power system global and real-time data analysis, ideas of solving power system security and reliability, real-time status monitoring, energy global dynamic balance scheduling and other key issues were explored. The problems of big data safety and reliability, equipment life-cycle management and energy real-time balance scheduling were analyzed and discussed, system analysis precision and accuracy based on large-scale real-time multi-source detail data and global data of equipment would be improved, then application of in-memory computing, real-time streaming data processing technology, massively parallel computing technology and column stores were explored; a layered architecture of power big data analytics platform which combined with the mainstream open source big data processing technology was proposed to provide guarantees for the efficient operation of the power system.