Naturalistic Decision Making in Power Grid Operations: Implications for Dispatcher Training and Usability Testing
Naturalistic Decision Making in Power Grid Operations: Implications for Dispatcher Training and Usability Testing
复制标题
电网运营中的自然决策：对调度员培训和可用性测试的影响
DOI：
10.2172/976997
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
R. Podmore
中科院分区：
文献类型：
--
作者：
F. Greitzer;R. Podmore
本研究的重点是改进的培训方法，以加速学习和改进的方法，用于分析工具的有效性在高保真电网模拟环境。一个以理论为基础的模型已经开发出文件和理解的心理过程，专家电力系统操作员使用时，作出关键的决定。该方法的理论基础是基于情境意识的概念，认知任务分析的方法，和自然主义的决策（NDM）方法的识别启动决策。该方法已被系统地探索和完善的高保真实时电力系统仿真器在正常和紧急情况下的能力演示的一部分。为了研究NDM过程，我们分析了模拟场景中操作员对操作员的对话记录，以揭示和评估基于NDM的性能标准。分析的结果表明，所提出的框架可以建设性地用于映射或评估在场景中的每个点的运营商的态势感知水平。我们还可以识别操作员在场景中不同点使用的心理模型和心理模拟。本报告记录了方法，描述了模型的元素，并提供了附录，记录了模拟更多»场景以及操作员在场景中使用的相关心理模型。«少
The focus of the present study is on improved training approaches to accelerate learning and improved methods for analyzing effectiveness of tools within a high-fidelity power grid simulated environment. A theory-based model has been developed to document and understand the mental processes that an expert power system operator uses when making critical decisions. The theoretical foundation for the method is based on the concepts of situation awareness, the methods of cognitive task analysis, and the naturalistic decision making (NDM) approach of Recognition Primed Decision Making. The method has been systematically explored and refined as part of a capability demonstration of a high-fidelity real-time power system simulator under normal and emergency conditions. To examine NDM processes, we analyzed transcripts of operator-to-operator conversations during the simulated scenario to reveal and assess NDM-based performance criteria. The results of the analysis indicate that the proposed framework can be used constructively to map or assess the Situation Awareness Level of the operators at each point in the scenario. We can also identify the mental models and mental simulations that the operators employ at different points in the scenario. This report documents the method, describes elements of the model, and provides appendices that document the simulationmore » scenario and the associated mental models used by operators in the scenario.« less