A Method for the Modular Power Flow Analysis of Extensive Distribution Grids

Daniel-Leon Schultis () and Clemens Korner
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Daniel-Leon Schultis: AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria
Clemens Korner: AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria

Energies, 2025, vol. 18, issue 6, 1-23

Abstract: The widespread deployment of distributed energy resources including volatile renewable generation raises the need for detailed distribution network analysis. In many cases, the vast system sizes make the joint analysis of multiple voltage levels computationally impracticable. Consequently, most studies focus on single or selected voltage levels and represent subordinate system portions by conventional static load models. Their parameters are usually identified by simplified aggregation methods that do not consider the effects of the network, i.e., network losses and spatial voltage variations. This approach involves inaccuracies and does not allow for validating compliance with the voltage and current limits inside subordinate system parts that are not explicitly represented in the model. In response to this challenge, this paper extends the static load model by including new parameters, i.e., the boundary voltage limits, and describes the associated component-based parameter identification method. Their combination paves the way for a modular power flow approach, which supports the separate investigation of different system portions without introducing considerable inaccuracies, enabling the systematic, precise, and computationally practicable power flow analysis and validation of voltage and current limit compliance in large distribution systems. The proposed concepts are applied to a synthetic distribution system to facilitate their use and showcase their usefulness.

Keywords: load flow analysis; simulation method; power distribution; power system modeling; power system simulation; static load model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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