分析决策中心全局负载均衡机制设计与实现
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TM769

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国家重点研发计划资助项目(2017YFB0902600);国家电网有限公司科技项目(SGJS0000DKJS1700840)


Design and implementation of global load-balance mechanisms for analysis and decision-making centers
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National Key R&D Program of China (2017YFB0902600);State Grid Corporation of China Project (SGJS0000DKJS1700840)

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    摘要:

    新一代电网调度控制系统采用“物理分布、逻辑统一”的体系架构,全局分析决策业务集中部署于多个异地分析决策中心,为了保障系统的稳定可靠运行,引入业务多活技术,实现了多中心负载均衡。文中介绍了业务多活环境下基于场景与服务状态的全局负载分流机制的设计与实现方法,能够根据新一代电网调度控制系统的特点完成业务访问分流并快速检测到中心故障完成业务访问中心切换,解决了调控系统传统C/S架构下多中心负载分流机制不能适用于新一代电网调度控制系统,且中心发生故障时切换较慢的问题,实现了客户端访问根据应用业务分布情况进行分流以及快速切换。该方法既适用于所有中心都提供对等服务的业务,也支持提供主/从服务的业务。

    Abstract:

    Based on the "physical distribution and logical integration" architecture of new generation power grid dispatching and control system, the global analysis and decision-making services are deployed in multiple analysis and decision-making centers of different locations. Multi-active technology is introduced to ensure the stable and reliable operation of the system and achieve multi-center load balancing. The implementation of global load diversion mechanism based on scenario and service state in the multi service environment is introduced, which can complete the service access diversion and quickly detect the center failure and complete the service access center switching according to the characteristics of the new generation power grid dispatching control system. The problem is solved that the traditional multi center load diversion mechanism under the C/S architecture of the control system can not be applied to the new generation of power grid dispatching control system, and the switch is slow when the center fails. It realizes that the client access can be divided according to the application service distribution. Fast switch is applicable to the application that all centers provide peer-to-peer services, and also supports the application that provides master/slave services.

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葛以踊,郭海龙,高鑫,吴海伟,陈鹏.分析决策中心全局负载均衡机制设计与实现[J].电力工程技术,2021,40(3):179-185

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  • 收稿日期:2020-11-24
  • 最后修改日期:2021-01-06
  • 录用日期:2020-08-23
  • 在线发布日期: 2021-06-11
  • 出版日期: 2021-05-28