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DC Microgrids with Nested Nonlinear Distributed Control: Scalable Large-Signal Stability and Voltage Containment

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

TL;DR

This paper investigates a cyber-physical DC microgrid employing a nonlinear distributed consensus-based control scheme for coordinated integration and management of distributed generating units within an expandable framework that achieves proportional current sharing among all distributed generation units.

Abstract

This paper investigates a cyber-physical DC microgrid employing a nonlinear distributed consensus-based control scheme for coordinated integration and management of distributed generating units within an expandable framework. Relying on nested primary andsecondary control loops; a (distributed) outer-loop and a (decentralized) inner-loop, the controller achieves proportional current sharing among all distributed generation units, while dynamically operating within predefined voltage limits. A rigorous Lyapunov-based stability analysis establishes a scalable global exponential stability certificate under some tuning conditions and sufficient time-scale separation between the control loops, based on singular perturbation theory. An optimization-based tuning strategy is then formulated to identify and subsequently diminish unstable operating conditions. In turn, various practical tuning strategies are introduced to provide stable operations while facilitating near-optimal proportional current sharing. The effectiveness of the proposed control framework and tuning approaches are finally supported through time-domain simulations of a case-specific low-voltage DC microgrid.

DC Microgrids with Nested Nonlinear Distributed Control: Scalable Large-Signal Stability and Voltage Containment

TL;DR

This paper investigates a cyber-physical DC microgrid employing a nonlinear distributed consensus-based control scheme for coordinated integration and management of distributed generating units within an expandable framework that achieves proportional current sharing among all distributed generation units.

Abstract

This paper investigates a cyber-physical DC microgrid employing a nonlinear distributed consensus-based control scheme for coordinated integration and management of distributed generating units within an expandable framework. Relying on nested primary andsecondary control loops; a (distributed) outer-loop and a (decentralized) inner-loop, the controller achieves proportional current sharing among all distributed generation units, while dynamically operating within predefined voltage limits. A rigorous Lyapunov-based stability analysis establishes a scalable global exponential stability certificate under some tuning conditions and sufficient time-scale separation between the control loops, based on singular perturbation theory. An optimization-based tuning strategy is then formulated to identify and subsequently diminish unstable operating conditions. In turn, various practical tuning strategies are introduced to provide stable operations while facilitating near-optimal proportional current sharing. The effectiveness of the proposed control framework and tuning approaches are finally supported through time-domain simulations of a case-specific low-voltage DC microgrid.
Paper Structure (19 sections, 3 theorems, 29 equations, 8 figures, 2 tables)

This paper contains 19 sections, 3 theorems, 29 equations, 8 figures, 2 tables.

Key Result

Theorem 1

(Singular Perturbed Problem) Consider the closed loop dynamics in complete_sys_compact, and let where $\mathrm{h}(v)=\mathrm{bcol}\{\mathrm{h}^{I^\mathcal{G}}_i(v), \mathrm{h}_j^{I^\mathcal{E}}(v), \mathrm{h}^{V^\mathcal{N}}_k (v), \mathrm{h}^{\lambda}_i(v), \mathrm{h}^{\zeta}_i(v)\}, \forall i \in \mathcal{G}, \forall j \in \mathcal{E}, \forall k \in \mathcal{N}$ is the unique solution of $\v

Figures (8)

  • Figure 1: Cyber Physical DC Microgrid
  • Figure 2: Tuning Strategy for G.E.S. and Proportional Current Sharing
  • Figure 3: Case Specific Microgrid
  • Figure 4: Nonlinear Leakage Functions
  • Figure 5: Gashgorin Circle Theorem Plots: Base-case system (first row), tuned system with individual permanent leakage ($\mathcal{B}_v$) (second and third row); (a)-(h) center v.s. radius for each row in $\mathcal{Z}(v)$; (i)-(l) Geršgorin disc of each row in $\mathcal{Z}(v)$ for the worst case scenario
  • ...and 3 more figures

Theorems & Definitions (10)

  • Remark 1
  • Theorem 1
  • proof
  • Theorem 2
  • proof
  • Corollary 1
  • proof
  • Remark 2
  • Remark 3
  • Remark 4