极端灾害下基于时空网格的配电网多源数据融合方法

极端灾害会对配电网造成一定的影响，严重时甚至破坏电网的安全稳定运行，灾害过程中会产生大量的配电网设备及运行方面的数据，这些数据信息量大且波动性强。为及时掌握极端灾害情况下对配电网设备的影响或破坏等信息，有效地协助配电网灾后指挥及修复工作，提出了一种基于时空地理网格的配电网多源数据融合方法。首先根据时空网格划分方法对配电网所在区域进行时间、空间上的划分并建立配电网时空网格编码数据库；然后对极端灾害下配电网的多源数据进行特征分析，提取关键时间特征和空间特征；通过计算时空特征关联度，关联匹配时空网格和配电网多源数据并储存于时空网格编码数据库中；进而根据融合后的配电网多源数据构建配电网灾情网格化视图；最后，通过算例验证了该方法的有效性和合理性。

Multi-source Data Fusion Method for Distribution Network Based on Spatiotemporal Grid under Extreme Disasters

Extreme disasters will have a certain impact on the distribution network, and even disrupt the safe and stable operation of the power grid. A large number of data about distribution network equipment and operation are generated during the disaster events, which are large in information contents and high in volatility. In order to timely grasp the damage information of distribution network equipment under extreme disaster events and effectively assist the post-disaster repairing work of the distribution network, a spatiotemporal grid based distribution network multi-source data fusion method is proposed. Firstly, according to the spatiotemporal grid division method, the area where the distribution network is located is partitioned in time and space, and a spatiotemporal grid coding database of the distribution network is established. Then, the characteristic analysis of the multi-source data of the distribution network under extreme disaster events is carried out to extract key time features and spatial features. By calculating the correlation degree of spatiotemporal features, the spatiotemporal grid and the distribution network multi-source data are associated and stored in the spatiotemporal grid coding database. Further, the grid view of the distribution network damage is constructed according to the fused multi-source data of the distribution network. The results of the case study show that the proposed method is effective and reasonable.