Multi-region Distributed State Estimation of Distribution Networks Considering Integration of Wind Power

Distributed energy offers significant advantages, such as energy conservation, environmental friendliness, resource abundance, and simplified construction. It has been widely integrated into conventional distribution networks. However, the integration of distributed wind power presents challenges to the efficient and accurate state estimation of distribution networks. To address this, this paper presents a methodology for multi-region distributed state estimation in distribution networks considering the integration of wind power. The methodology begins with a mathematical modeling of distribution networks, wherein the P-Q(V) nodes are transformed into PQ nodes. Secondly, considering both PMU measurement configuration and topological analysis, the distribution network is partitioned into subregions to achieve decoupling. Finally, this paper utilizes the available measurement data from the system and applies an enhanced weighted least squares method to construct a multi-region distributed state estimation model for distribution networks. The effectiveness and reliability of the proposed method for state estimation are substantiated through the analysis of an illustrative example.