【摘要】 针对现有电力系统稳态分析应用架构扩展能力弱、无法适应跨省地调度机构的大范围应用问题，提出了一种基于云计算技术的跨区域并行电力系统稳态分析服务及弹性调度管理系统。详细介绍和分析了该系统的总体架构、容器化封装、资源隔离、服务弹性调度、运行监控等关键技术。采用微服务技术将分析服务模块化，并通过容器技术实现分析服务的部署、隔离和动态扩展。同时采用基于随机高级Petri网模型的算法实现分析服务的弹性调度。通过多种稳态分析服务应用实例，证明所设计的系统整体运行稳定，系统架构具备良好的可扩展性，能够满足跨省地调度机构大范围稳态分析计算的应用需求。更多还原

【Abstract】 The existing steady state analysis of power system application architecture has poor scalability and cannot adapt to the large-scale application requirement across provincial and regional dispatching centers. To solve this problem,a cross regional parallel power system steady state analysis service elastic scheduling management system based on cloud computing technology is proposed. The key technologies of the system, such as overall architecture, container packaging,resource isolation, service elastic scheduling, operation monitoring and so on are introduced and analyzed in detail. Micro service technology is used to modularize analysis services. The container technology is used to realize the deployment,isolation and dynamic expansion of analysis services. An algorithm based on the stochastic high-level Petri net model is used to realize the elastic scheduling of analysis services. A variety of practical steady-state analysis service applications proves that the overall operation of the system is stable, the system architecture has good scalability, and the application requirement of the wide range steady-state analysis and calculation across provincial and regional dispatching centers can be met.更多还原