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Control Architecture for Fast Frequency Regulation with High Inverter-Based Resource Penetration
US & West ·
A two-layer control architecture for frequency regulation in power systems with high inverter-based generation is proposed. The primary layer uses optimized droop and Virtual Synchronous Machine control, while the secondary layer uses Model Predictive Control (MPC) integrated into existing grid control structures with constraint awareness. A reduced-order Kalman-Bucy observer estimates state and disturbances from measurable outputs.
Why it matters
The work is relevant for managing power systems with increasing renewable penetration, where fast and coordinated frequency regulation under constraints is required.
The National University of Singapore (NUS) and the Society of Algorithmic Intelligence (SoAI) is hosting IntelligenceX 2026: Global Quantum × AI Frontier, from 24 to 26 September 2026 at NUS University Town, focused on advances at the intersection of quantum computing and artificial intelligence…
A pre-registered study with 317 participants compared AI-moderated, human-moderated and static interviews. AI moderation matched human depth, covered more themes and, at fixed budget, surfaced more customer needs; digital twins built from interview data were validated against held-out responses to marketing stimuli.
A generic formalism is proposed to represent and control large-scale systems of systems through agent-based simulation. Organizational aspects use the Agent-Group-Role model, functional aspects a goal specification, and multilevel aspects the IRM4MLS meta-model, covering both static and dynamic properties.
