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2026 Solano Castellanos Inverter Frequency Regulation

Jose A. Solano-Castellanos, Hassan Haes Alhelou

2026enfrequency regulationinverter-based resourcesmodel predictive controlvirtual synchronous machinepower systemsrenewable energy

Abstract

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This paper addresses frequency regulation under operational constraints in interconnected power systems with high penetration of inverter-based renewable generation. A two-layer control architecture is proposed that combines optimized droop and Virtual Synchronous Machine (VSM) primary control with a Model Predictive Control (MPC) secondary layer operating at realistic control-room update rates. Unlike recently proposed approaches, the proposed framework integrates MPC within existing grid control structures, enabling constraint-aware coordination. A reduced-order frequency response model is systematically derived from a detailed grid model using Hankel singular values, and a reduced-order Kalman–Bucy observer enables state and disturbance estimation using only measurable outputs. Evaluation using representative data from the Kingdom of Saudi Arabia demonstrates effective frequency regulation under realistic operating conditions.

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Cite This Work

@article{235d1dc7-a0e8-4722-b9ba-739bcd73eb64,
  title={2026 Solano Castellanos Inverter Frequency Regulation},
  author={Jose A. Solano-Castellanos and Hassan Haes Alhelou},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - 2026 Solano Castellanos Inverter Frequency Regulation
AU  - Jose A. Solano-Castellanos
AU  - Hassan Haes Alhelou
PY  - 2026
LA  - en
ER  -

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