Dynamic knowledge graph approach for modelling the decarbonisation of power systems

IF 9.6 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Energy and AI Pub Date : 2024-05-20 DOI:10.1016/j.egyai.2024.100359
Wanni Xie , Feroz Farazi , John Atherton , Jiaru Bai , Sebastian Mosbach , Jethro Akroyd , Markus Kraft
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Abstract

This paper presents a dynamic knowledge graph approach that offers a reusable, interoperable, and extensible framework for modelling power systems. Domain ontologies have been developed to support a linked data representation of infrastructure data, socio-demographic data, areal attributes like demand, and models describing power systems. The knowledge graph links the data with a hierarchical representation of administrative regions, supporting geospatial queries to retrieve information about the population within the vicinity of a power plant, the number of power plants, total generation capacity, and demand within specific areas. Computational agents were developed to operate on the knowledge graph. The agents performed tasks including data uploading, updating, retrieval, processing, model construction and scenario analysis. A derived information framework was used to track the provenance of information calculated by agents involved in each scenario. The knowledge graph was populated with data describing the UK power system. Two alternative models of the transmission grid with different levels of structural resolution were instantiated, providing the foundation for the power system simulation and optimisation tasks performed by the agents. The application of the dynamic knowledge graph was demonstrated via a case study that investigates clean energy transition trajectories based on the deployment of Small Modular Reactors in the UK.

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电力系统去碳化建模的动态知识图谱方法
本文介绍了一种动态知识图谱方法,为电力系统建模提供了一个可重复使用、可互操作和可扩展的框架。已开发的领域本体支持基础设施数据、社会人口数据、需求等区域属性的链接数据表示,以及描述电力系统的模型。知识图谱将数据与行政区域的分级表示法联系起来,支持地理空间查询,以检索特定区域内发电厂附近的人口、发电厂数量、总发电量和需求等信息。开发的计算代理可在知识图谱上运行。代理执行的任务包括数据上传、更新、检索、处理、模型构建和情景分析。衍生信息框架用于跟踪每个方案中的代理计算信息的出处。知识图谱中填充了描述英国电力系统的数据。两个具有不同结构分辨率的输电网替代模型被实例化,为代理执行电力系统仿真和优化任务奠定了基础。动态知识图谱的应用通过一个案例研究得以展示,该案例研究以英国小型模块化反应堆的部署为基础,调查了清洁能源的过渡轨迹。
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来源期刊
Energy and AI
Energy and AI Engineering-Engineering (miscellaneous)
CiteScore
16.50
自引率
0.00%
发文量
64
审稿时长
56 days
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