标题： 面向智能电网领域的新型信息和数据模型的三阶段评估方法 显示英文标题

标题： A Three-Phase Evaluation Approach for new Information and Data Models in the Smart Grid Domain

摘要： 智能电网的持续数字化正在导致分布式能源系统中自动化信息交换的增加。 这一过程导致在现有模型不足时开发新的信息和数据模型。 为了防止新设计的信息和数据模型中的缺陷可能引起的中断，有必要在设计过程中对其进行评估，然后再将其实施到运行中。 目前，智能电网领域之外的一般显式评估方法停留在较高层次，没有定义明确的步骤。 同时，智能电网领域内的隐式评估方法则专注于测试已经使用的信息和数据模型的系统，以评估其符合性和互操作性方面的功能。 值得注意的是，目前尚无将显式和隐式评估方法相结合的方法，在智能电网背景下，为新设计的信息和数据模型在设计过程中提供明确的步骤集。 因此，我们设计了一种三阶段的评估方法，利用设计科学研究来解决这一差距。 我们的评估方法结合了显式和隐式评估方法，并适用于开发新的信息和数据模型。 我们使用一个专注于工业灵活性描述的信息模型和数据模型的开发来完善我们的评估方法。 此外，我们提供了从我们的经验中获得的教训。 显示英文摘要

摘要： The ongoing digitalisation of the smart grid is resulting in an increase in automated information exchanges across distributed energy systems. This process has led to the development of new information and data models when the existing ones fall short. To prevent potential disruptions caused by flaws in the newly designed information and data models, it is essential to evaluate them during the design process before they are implemented in operation. Currently, general explicit evaluation approaches outside the smart grid domain stay at a high level without defining clear steps. Meanwhile, implicit evaluation approaches in the smart grid domain focus on testing systems that utilise information and data models already in use for functionality in terms of conformance and interoperability. Notably, no combination of explicit and implicit evaluation approaches for newly designed information and data models offers a clearly defined set of steps during their design process in the smart grid context. Consequently, we design a three-phase evaluation approach using design science research to address this gap. Our evaluation approach combines explicit and implicit evaluation methods and is applicable when developing new information and data models. We use the development of an information model and data model focused on industrial flexibility descriptions to refine our evaluation approach. Additionally, we provide lessons learned from our experience.