引用本文: | 孙 超,夏 晨,吕志强,杨 铭,曹 武.省地一体化稳态分析服务弹性调度系统设计[J].电力系统保护与控制,2022,50(5):136-145.[点击复制] |
SUN Chao,XIA Chen,Lü Zhiqiang,YANG Ming,CAO Wu.Design of a service elastic scheduling system for steady state analysis across provincial andregional dispatching centers[J].Power System Protection and Control,2022,50(5):136-145[点击复制] |
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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。 |
关键词: 云计算 电力系统稳态分析计算 微服务 容器 服务弹性调度 |
DOI:DOI: 10.19783/j.cnki.pspc.210718 |
投稿时间:2021-06-17修订日期:2021-07-26 |
基金项目:国家重点研发计划项目资助(2017YFB0902600)“大电网智能调度与安全预警关键技术研究及应用” |
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Design of a service elastic scheduling system for steady state analysis across provincial andregional dispatching centers |
SUN Chao,XIA Chen,LÜ Zhiqiang,YANG Ming,CAO Wu |
(1. NR Electric Engineering Co., Ltd., Nanjing 211102, China;
2. School of Electrical Engineering, Southeast University, Nanjing 210096, China) |
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.
This work is supported by the National Key Research and Development Program of China (No. 2017YFB0902600). |
Key words: cloud computing steady state analysis of power system micro-service container service elastic scheduling |