Creating synthetic networks and datasets for power distribution network is challenging due to continuous expansion of networks, integration of new low carbon technologies and large penetration of renewable energy resources in network. In this paper, a practical approach for generating synthetic distribution networks and datasets using public databases and data synthesis algorithms is proposed. A synthetic power distribution network is developed by leveraging the open-data from local government databases, OpenStreetMaps and mapping engines such as Google Street View. New data synthesis algorithms are proposed to obtain the missing network datasets. The proposed algorithms include a topology for designing power lines, a method for computing the lengths of power lines, a hub-line algorithm for determining the number of consumers connected to a single transformer, a virtual layer approach based on FromNode and ToNode for establishing electrical connectivity, and a technique for ingesting raw data into industrial data platforms. The practical feasibility of the proposed solutions is demonstrated by an illustrative case study of the Colac region in Australia. Synthetic network and datasets are created for the distribution feeder, and then evaluated in industry servers. The results are compared using a three-step validation procedure: comparing the synthetic and actual network datasets using geo-based visualizations, by including feedback from industry experts familiar with the analysis, and by testing the generic applicability of the proposed techniques to other regions. The paper compares network elements that include 4714 power lines, 48 distribution transformers, 4155 energy consumers, 609 electrical nodes, and 1 substation. The comparison results demonstrate the efficacy of developed networks and datasets as they show resemblance to real network and datasets while providing the geographical validation of distribution network models.

由于网络的不断扩展、新低碳技术的集成以及可再生能源在网络中的大量渗透，为配电网络创建合成网络和数据集具有挑战性。在本文中，提出了一种使用公共数据库和数据合成算法生成合成配电网络和数据集的实用方法。通过利用来自地方政府数据库、OpenStreetMaps 和地图引擎（如谷歌街景）的开放数据，开发了一个综合配电网络。提出了新的数据合成算法来获取缺失的网络数据集。所提出的算法包括用于设计电源线的拓扑结构、计算电源线长度的方法、用于确定连接到单个变压器的消费者数量的集线器算法，用于建立电气连接的基于 FromNode 和 ToNode 的虚拟层方法，以及用于将原始数据引入工业数据平台的技术。澳大利亚科拉克地区的说明性案例研究证明了所提出解决方案的实际可行性。为配电馈线创建合成网络和数据集，然后在工业服务器中进行评估。使用三步验证程序比较结果：使用基于地理的可视化比较合成和实际网络数据集，包括熟悉分析的行业专家的反馈，以及测试所提出技术对其他地区的一般适用性。该论文比较了包括 4714 条电力线、48 个配电变压器、4155 个能源消费者、609 个电气节点和 1 个变电站的网络元素。比较结果证明了开发的网络和数据集的有效性，因为它们显示出与真实网络和数据集的相似性，同时提供了配电网络模型的地理验证。