This chapter proposes a large-signal stability analysis and voltage stabilization-oriented controller for low-inertia shipboard microgrids, addressing challenges posed by constant power loads, pulse loads, and uncertain propulsion demands. A full-order shipboard microgrid model integrating battery dynamics is established, and a Takagi-Sugeno fuzzy model (TSFM)-based domain of attraction (DOA) estimation method is proposed to evaluate stability via linear matrix inequalities (LMIs). Results reveal that battery state-of-charge (SOC) and state-of-health (SOH) significantly impact system stability—higher SOC enhances stability, while SOH degradation shrinks the DOA. To mitigate voltage sags and ensure stability, a grid-forming control strategy with virtual inertia emulation and secondary power-sharing is developed. Validated under diverse scenarios (normal operation, main engine failure, power electronic device fault), the strategy stabilizes AC/DC bus voltage (fluctuation range 1457.9–1542.7V), reduces voltage/frequency fluctuations by up to 94.89% and 97.9% respectively, and prolongs battery lifespan by 30% through SOP constraints. This work provides a theoretical and practical foundation for stable shipboard microgrid operation.

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Large-Signal Stability Analysis and Voltage Stabilization-Oriented Controller

  • Yingbing Luo,
  • Sidun Fang

摘要

This chapter proposes a large-signal stability analysis and voltage stabilization-oriented controller for low-inertia shipboard microgrids, addressing challenges posed by constant power loads, pulse loads, and uncertain propulsion demands. A full-order shipboard microgrid model integrating battery dynamics is established, and a Takagi-Sugeno fuzzy model (TSFM)-based domain of attraction (DOA) estimation method is proposed to evaluate stability via linear matrix inequalities (LMIs). Results reveal that battery state-of-charge (SOC) and state-of-health (SOH) significantly impact system stability—higher SOC enhances stability, while SOH degradation shrinks the DOA. To mitigate voltage sags and ensure stability, a grid-forming control strategy with virtual inertia emulation and secondary power-sharing is developed. Validated under diverse scenarios (normal operation, main engine failure, power electronic device fault), the strategy stabilizes AC/DC bus voltage (fluctuation range 1457.9–1542.7V), reduces voltage/frequency fluctuations by up to 94.89% and 97.9% respectively, and prolongs battery lifespan by 30% through SOP constraints. This work provides a theoretical and practical foundation for stable shipboard microgrid operation.