基于云计算的电力调度控制系统关键技术研究

Research on Key Technology of Power Dispatching Control System Based on Cloud Computing

弹性计算和存储是基于云计算平台提高目前电力调度控制系统数据处理能力及存储能力的核心。为此,文中通过改变现有系统中不相匹配的架构与设计模式,在系统内部建立起与云计算技术相适应的应用支撑框架与数据处理模式,以期能够充分发挥云平台弹性计算与存储的优势。针对系统对数据处理能力的扩展需求只能采取垂直扩展方式的弊端,文中基于云技术提出了水平扩展方式以及分布式计算模式,实现分布式并行SCADA处理,并开发相应的分布式实时数据库。同时,为克服传统事件服务采用的主备集中处理模式的性能瓶颈,采用事件队列具备水平扩展的能力的弹性事件队列,从而充分利用了云计算技术的弹性优势。在上述关键技术的基础上,文中基于分布式计算模式建立起相应的应用分析框架弹性应用框架,利用并行计算提高应用分析处理效率,并为海量数据分析处理提供保障。

Elastic computing and storage is the core of the cloud computing platform to improve the data processing capabilities and storage capabilities of current power dispatching control systems. To this end, by changing the unmatched architecture and design patterns in the existing systems, an application support framework and data processing model suitable for cloud computing technology are established within the system, in order to fully utilize the advantage of the elastic computing and storage for the cloud platform. Aiming at the disadvantages of the system’s expansion of data processing capability, only the vertical expansion method can be adopted. Based on the cloud technology, the paper proposes a horizontal expansion mode and a distributed computing mode, realizes distributed parallel SCADA processing, and develops a corresponding distributed real-time database. At the same time, in order to overcome the performance bottleneck of the centralized and centralized processing modes adopted by the traditional event service, the flexible event queue with the ability of the event queue to expand horizontally is utilized, thereby fully utilizing the elastic advantage of the cloud computing technology. Based on the above key technologies, the paper establishes a corresponding application analysis framework elastic application framework based on distributed computing mode, and uses parallel computing to improve application analysis processing efficiency and provide guarantee for massive data analysis and processing.