标题： 大规模网格数据处理与验证以评估光伏承载能力的公平空间分布 显示英文标题

标题： Large-Scale Processing and Validation of Grid Data for Assessing the Fair Spatial Distribution of PV Hosting Capacity

摘要： 光伏系统与更高的电气化水平给传统配电网络的设计和运行带来了重大挑战。 本文提出了一种方法，用于从配电系统运营商（DSO）的数据库中提取、验证和适应电网数据，以促进大规模电网研究，包括潮流和最优潮流分析。 验证过程结合了基于规则的合理性检查和离线自动潮流分析，以确保数据一致性并检测电网数据库中的潜在错误，从而进行修正。 作为实际应用，本文提出了一种方法来评估配电网络的光伏承载能力，重点是确保其空间分布的公平性。 通过将公平性标准纳入分析中，我们量化了（以出售光伏发电所损失的收入为单位）与空间公平性相关的成本。 显示英文摘要

摘要： The integration of PV systems and increased electrification levels present significant challenges to the traditional design and operation of distribution grids. This paper presents a methodology for extracting, validating, and adapting grid data from a distribution system operator's (DSO) database to facilitate large-scale grid studies, including load flow and optimal power flow analyses. The validation process combines rule-based sanity checks and offline automated power flow analyses to ensure data consistency and detect potential errors in the grid database, allowing for their correction. As a practical application, the paper proposes a method to assess the PV hosting capacity of distribution grids, with a focus on ensuring fairness in their spatial distribution. By incorporating fairness criteria into the analyses, we quantify the costs (in terms of missed revenues from selling PV generation) associated with spatial fairness.