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Large-Signal Stability Guarantees for a Scalable DC Microgrid with Nonlinear Distributed Control: The Slow Communication Scenario

Cornelia Skaga, Mahdieh S. Sadabadi, Gilbert Bergna-Diaz

TL;DR

The paper addresses large-signal stability and scalable operation for a DC microgrid with nonlinear distributed control in a slow-communication scenario. It casts the closed-loop dynamics as a singularly perturbed system with fast inner-loop and slow outer-loop dynamics, using Lyapunov functions for the reduced and boundary-layer subsystems to prove Global Exponential Stability ($GES$) under a sufficient time-scale separation. Key contributions include modifying the controller with a saturation mechanism, a leakage function, and an industrial PI component, plus a rigorous stability proof and small-signal analysis, supported by time-domain simulations on a 4-terminal microgrid. The results provide practical guidelines for tuning, showing that diagonal dominance of the mapping $M(oldsymbol{ u})$ and appropriate time-scale separation enable scalable, provably stable proportional current sharing with voltage containment in DC microgrids.

Abstract

The increasing integration of renewable energy sources into electrical grids necessitates a paradigm shift toward advanced control schemes that guarantee safe and stable operations with scalable properties. Hence, this study explores large-signal stability guarantees of a promising distributed control framework for cyber-physical DC microgrids, ensuring proportional current sharing and voltage containment within pre-specified limits. The proposed control framework adopts nonlinear nested control loops--inner (decentralized) and outer (distributed)--specifically designed to simultaneously achieve the control objectives. Our scalable stability result relies on singular perturbation theory to prove global exponential stability by imposing a sufficient time-scale separation at the border between the nested control loops. In particular, by saturating the influence of the outer loop controller in the inner loop, the proposed controller preserves a more convenient mathematical structure, facilitating the scalability of the stability proof using Lyapunov arguments. The effectiveness of our proposed control strategy is supported through time-domain simulations of a case-specific low-voltage DC microgrid following a careful tuning strategy, and a small-signal stability analysis is conducted to derive practical guidelines that enhance the applicability of the method.

Large-Signal Stability Guarantees for a Scalable DC Microgrid with Nonlinear Distributed Control: The Slow Communication Scenario

TL;DR

The paper addresses large-signal stability and scalable operation for a DC microgrid with nonlinear distributed control in a slow-communication scenario. It casts the closed-loop dynamics as a singularly perturbed system with fast inner-loop and slow outer-loop dynamics, using Lyapunov functions for the reduced and boundary-layer subsystems to prove Global Exponential Stability () under a sufficient time-scale separation. Key contributions include modifying the controller with a saturation mechanism, a leakage function, and an industrial PI component, plus a rigorous stability proof and small-signal analysis, supported by time-domain simulations on a 4-terminal microgrid. The results provide practical guidelines for tuning, showing that diagonal dominance of the mapping and appropriate time-scale separation enable scalable, provably stable proportional current sharing with voltage containment in DC microgrids.

Abstract

The increasing integration of renewable energy sources into electrical grids necessitates a paradigm shift toward advanced control schemes that guarantee safe and stable operations with scalable properties. Hence, this study explores large-signal stability guarantees of a promising distributed control framework for cyber-physical DC microgrids, ensuring proportional current sharing and voltage containment within pre-specified limits. The proposed control framework adopts nonlinear nested control loops--inner (decentralized) and outer (distributed)--specifically designed to simultaneously achieve the control objectives. Our scalable stability result relies on singular perturbation theory to prove global exponential stability by imposing a sufficient time-scale separation at the border between the nested control loops. In particular, by saturating the influence of the outer loop controller in the inner loop, the proposed controller preserves a more convenient mathematical structure, facilitating the scalability of the stability proof using Lyapunov arguments. The effectiveness of our proposed control strategy is supported through time-domain simulations of a case-specific low-voltage DC microgrid following a careful tuning strategy, and a small-signal stability analysis is conducted to derive practical guidelines that enhance the applicability of the method.

Paper Structure

This paper contains 16 sections, 3 theorems, 22 equations, 7 figures, 2 tables.

Key Result

Theorem 1

(Singular Perturbed Problem) Consider the closed loop dynamics in complete_sys_compact, and let where $\mathrm{h}(x)=\mathrm{bcol}\{\mathrm{h}^1_i(x), \mathrm{h}_j^2(x), \mathrm{h}^3_k (x), \mathrm{h}^4_i(x)\}, \forall i \in \mathcal{G}, \forall j \in \mathcal{E}, \forall k \in \mathcal{N}$, is the unique solution of $0=g(x, \mathrm{h}(x))$; $\tilde{y}\triangleq \mathrm{bcol}\{\tilde{z} - \mat wh

Figures (7)

  • Figure 1: Microgrid dynamics - single unit perspective.
  • Figure 2: Case Specific Microgrid
  • Figure 3: Hyperbolic tangent functions under consideration
  • Figure 4: System Response for varying values of $\alpha$ and $\mathcal{K}_v$; (a), (d), (g), and (j) generator voltages; (b), (e), (h), and (k) leakage function; (c), (f), (i), and (l) controller state values
  • Figure 5: System performance: (a) generator voltages; (b) leakage function; (c) integration errors
  • ...and 2 more figures

Theorems & Definitions (6)

  • Theorem 1
  • proof
  • Theorem 2
  • proof
  • Corollary 1
  • proof