Abstract The development of renewable energy resources, distributed generation (DG), energy storage, and nonlinear controllable loads in distribution networks (DNs) have attracted attention towards state estimation (SE) in active distribution networks (ADNs). The energy management center (EMC) of DN is based on the results obtained from SE. ADN is intrinsically unbalanced. A two-step state estimation is applied to an unbalanced DN using a network reduction process (NRP) and a meter locating process (MLP) in this paper. Considering the shortage of measurements in DN, obtaining accurate primary information from network conditions enhances SE. Primary SE runs on the reduced network and its outputs are used as measurements to enhance total estimation (secondary SE). This method resolves the shortage of accurate measurements and elevates SE accuracy. The considered method is executed in a 37-bus unbalanced DN, and the results of the simulation are used to validate the proposed method.

中文翻译：

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不平衡配电网络中两步状态估计性能的增强

摘要 可再生能源、分布式发电 (DG)、储能和配电网络 (DN) 中的非线性可控负载的发展引起了对有源配电网络 (ADN) 状态估计 (SE) 的关注。DN 的能源管理中心 (EMC) 基于从 SE 获得的结果。ADN 本质上是不平衡的。在本文中，使用网络缩减过程 (NRP) 和仪表定位过程 (MLP) 将两步状态估计应用于不平衡 DN。考虑到 DN 中测量的不足，从网络条件中获取准确的主要信息可以增强 SE。主要 SE 在缩减网络上运行，其输出用作测量以增强总估计（次要 SE）。该方法解决了精确测量的不足并提高了SE精度。