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新一代在线安全分析技术架构及未来展望

Technical Architecture and Future Prospect for New Generation of Online Security Analysis
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摘要 为适应新型电力系统构建过程中面临的挑战,按照“继承、融合、创新”的理念,提出了新一代在线安全分析整体架构,在模型数据、功能体系、业务场景和人机交互等方面,通过基础平台、实时量测、网络分析、仿真计算等有序配合,实现了设备模型参数、实时量测信息、稳控模型、断面限额等多源数据与在线分析应用的联通交互。针对电力系统运行出现的新特性,开发了在线机电-电磁混合仿真、转动惯量和新能源多馈入短路比在线评估等新功能,使得新一代在线安全分析架构更科学、分析更快速、仿真更准确、生态更开放、人机更友好。相关成果已在国分调控云部署并服务于电力系统省级以上调度机构。最后,从设备建模、计算效率、仿真分析和结果应用4个方面,提出了未来发展方向。 To adapt to the challenges faced in the construction process of new power systems,according to the concept of“inheritance,integration and innovation”,the overall architecture for the new generation of online security analysis is proposed.In the areas of model data,functional systems,business scenarios,and human-computer interaction,through the orderly cooperation of basic platform,real-time measurement,electrical network analysis and simulation computation,the connection and interaction between multi-source data and online analysis applications are realized,such as equipment model parameters,real-time measurement information,stability control model,stability limits.For the emerging new characteristics of power system operation,new functions are developed such as online electromechanical-electromagnetic hybrid simulation and online evaluation of rotational inertia and renewable energy multi-feed short-circuit ratio,which make the new generation of online security analysis architecture more scientific,analysis faster,simulation more accurate,ecology more open,and human-computer more friendly.The relevant achievements have been deployed on the dispatching and control cloud platform and served for dispatching agencies at or above the provincial level of the power system.Finally,the future development trends are proposed from four aspects of equipment modeling,computing efficiency,simulation analysis,and result application.
作者 王国春 许洪强 冯长有 于之虹 徐伟 WANG Guochun;XU Hongqiang;FENG Changyou;YU Zhihong;XU Wei(State Grid Corporation of China,Beijing 100031,China;China Electric Power Research Institute,Beijing 100192,China;NARI Group Corporation(State Grid Electric Power Research Institute),Nanjing 211106,China)
出处 《电力系统自动化》 EI CSCD 北大核心 2023年第24期110-120,共11页 Automation of Electric Power Systems
关键词 在线安全分析 模型数据 功能体系 业务场景 人机交互 online security analysis model data functional system business scenario human-computer interaction
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