A Family of Newton and Quasi-Newton Methods for Power Flow Analysis in Bipolar Direct Current Networks with Constant Power Loads
This paper presents a comprehensive study on the formulation and solution of the power flow problem in bipolar direct current (DC) distribution networks with unbalanced constant power loads. Using the nodal voltage method, a unified nonlinear model is proposed which accurately captures both monopolar and bipolar load configurations as well as the voltage coupling between conductors. The model assumes a solid grounding of the neutral conductor and known system parameters, ensuring reproducibility and physical consistency. Seven iterative algorithms are developed and compared, including three Newton–Raphson-based formulations and four quasi-Newton methods with constant Jacobian approximations. The proposed techniques are validated on two benchmark networks comprising 21 and 85 buses. Numerical results demonstrate that Newton-based methods exhibit quadratic convergence and high accuracy, while quasi-Newton approaches significantly reduce computational time, making them more suitable for large-scale systems. The findings highlight the trade-offs between convergence speed and computational efficiency, and they provide valuable insights for the planning and operation of modern bipolar DC grids.
Authors
- Luis Fernando Grisales-Noreña (ORCID: https://orcid.org/0000-0002-1409-9756)
- Walter Gil-González (ORCID: https://orcid.org/0000-0001-7609-1197)
- Juan Diego Pulgarín Rivera (ORCID: https://orcid.org/0000-0003-2326-7907)
- Fabio Andrade (ORCID: https://orcid.org/0000-0002-8859-7336)
- Oscar Danilo Montoya (ORCID: https://orcid.org/0000-0001-6051-4925)
Institutions
- Technological University of Pereira (CO)
- Universidad Distrital Francisco José de Caldas (CO)
- University of Puerto Rico-Mayaguez (PR)
- Universidad del Valle (CO)
Publication Details
- Journal
- Mathematical and Computational Applications
- Published
- 2025-05-06
- DOI
- https://doi.org/10.3390/mca30030050
- Citations
- 2
- Primary Topic
- Power System Optimization and Stability
- Type
- article
- Field-Weighted Citation Impact
- 1.46
Funders
- U.S. Department of Energy
- CYTED Ciencia y Tecnología para el Desarrollo