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Ill-Conditioned Power Flow Analysis Using a Quantized State-Based Approach

Liya Huang, Federico Milano, Georgios Tzounas

Abstract

This paper focuses on power flow analysis through the lens of the Newton flow, a continuous-time formulation of Newton's method. Within this framework, we explore how quantized-state concepts, originally developed as an alternative to time discretization, can be incorporated to govern the evolution of the Newton flow toward the power flow solution. This approach provides a novel perspective on adaptive step-size control and shows how state quantization can enhance robustness in illconditioned cases. The performance of the proposed approach is discussed with the ACTIVSg70k synthetic test system.

Ill-Conditioned Power Flow Analysis Using a Quantized State-Based Approach

Abstract

This paper focuses on power flow analysis through the lens of the Newton flow, a continuous-time formulation of Newton's method. Within this framework, we explore how quantized-state concepts, originally developed as an alternative to time discretization, can be incorporated to govern the evolution of the Newton flow toward the power flow solution. This approach provides a novel perspective on adaptive step-size control and shows how state quantization can enhance robustness in illconditioned cases. The performance of the proposed approach is discussed with the ACTIVSg70k synthetic test system.
Paper Structure (13 sections, 21 equations, 7 figures, 4 tables)

This paper contains 13 sections, 21 equations, 7 figures, 4 tables.

Figures (7)

  • Figure 1: Local convergence region, FEM.
  • Figure 2: Local convergence region, bem.
  • Figure 3: Well-initialized case: FEM and bem-J iterations.
  • Figure 4: Well-initialized case: BEM-J-QSS iterations.
  • Figure 5: Iterations of $\theta_{bus2}$ with bem-J$_{1}$ and bem-J$_{1}$-QSS, $\alpha = 1.35$.
  • ...and 2 more figures