Power Flow Analytical Method for Three-Phase Active Distribution Networks Based on Multi-Dimensional Holomorphic Embedding Method

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Sun, YG (Author) Other; Ding, T (Author) Other; Xu, TR (Author) Other; Mu, CG (Author) Other; Siano, P (Author) Other; Catalao, JPS (Author) FEUP

Journal

The Journal is awaiting validation by the Administrative Services.

Title: IEEE Transactions on Circuits and Systems II: Express Briefs

Vol. 69

Pages: 5069-5073

ISSN: 1549-7747

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 6 Citations

Other information

Authenticus ID: P-00X-4VW

DOI: 10.1109/tcsii.2022.3204606

Abstract (EN): With the increasing penetration of distributed generations (DGs) in three-phase distribution networks, the traditional radial passive distribution networks are gradually transformed into active distribution networks (ADNs) with DGs, accompanied by a dramatic increase in operational scenarios. To fast analyze the massive scenarios of ADNs, this brief proposes a multi-scenario-based power flow analytical method based on the multi-dimensional holomorphic embedding method. First, DGs are partitioned according to their spatial correlation, and then a power flow analytical method is cast for unbalanced three-phase ADNs. Finally, the method is applied to the ADN power flow analysis for multiple scenarios. Comparisons with other power flow calculation methods validate the high efficiency and computational tractability of the proposed method.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5