4.7 Article

Distributed Three-Phase Power Flow for AC/DC Hybrid Networked Microgrids Considering Converter Limiting Constraints

Journal

IEEE TRANSACTIONS ON SMART GRID
Volume 13, Issue 3, Pages 1691-1708

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2022.3140212

Keywords

Load flow; Voltage control; Microgrids; Reactive power; Convergence; Transformers; Hybrid power systems; Networked microgrids; distributed computing; non-smooth converter limiting; VSC-MTDC; distributed generation; privacy protection

Funding

  1. National Natural Science Foundation of China [52177125, TSG-00445-2021]

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A fully distributed power flow calculation method is proposed in this paper, which robustly handles the non-smooth constraints in three-phase AC/DC hybrid networked microgrids, while reducing the dependence on initial values.
In three-phase AC/DC hybrid networked microgrids (NMGs), the operational limits of AC/DC interconnected converters and distributed generator (DG) interface inverters increase the non-convexity of the power flow model, and conventional distributed power flow (DPF) algorithms based on heuristic rule may encounter convergence problems when processing limit. This paper proposed a fully DPF calculation method that can robustly handle the non-smooth reactive power limits of converters and non-smooth voltage regulation of step voltage regulators, also reducing the model dependence on the initial values. In this algorithm, the non-smooth constraints were converted into smooth functions, and based on a bi-level augmented Lagrangian alternating direction inexact Newton (ALADIN) method with the second-order convergence rate the original DPF problem was transformed into the problem of distributed step increment optimization. Accurate power flow results can be obtained by exchanging boundary information between microgrids, and the proposed algorithm can converge rapidly with step increment optimization at the second level. Numerical experiments demonstrated the accuracy, convergence, and efficiency of the proposed method.

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