The wind power generation process exhibits strong nonlinearity and multiple constraints, making it difficult to establish an accurate global model for model predictive control. In practical applications, model mismatch often leads to a decline in control performance. To address this, a tube-based model predictive contr...
Load frequency control (LFC) is essential for maintaining frequency stability and reliable operation in modern power systems, particularly with increasing penetration of renewable energy sources, where reduced system inertia and stochastic power fluctuations pose significant challenges to conventional control strategie...
This paper presents a disturbance observer–based model predictive control strategy for the position regulation of a twin rotor MIMO system (TRMS). The nonlinear dynamics of the TRMS are first rewritten as an uncertain linear time invariant (LTI) system with additive disturbances. An extended state observer (ESO) is the...
To mitigate the harmonic pollution caused by the widespread integration of distributed generation and nonlinear loads, this paper proposes a continuous-control-set model predictive control (CCS-MPC) method for a three-level active power filter (APF) based on neural-network-assisted recursive least-squares (NN-RLS) onli...
This study addresses the challenge of frequency stabilization in a complex two-area hybrid power system subjected to load disturbances. Area 1 comprises thermal, hydro, and wind power generation, while Area 2 integrates thermal, hydro, and gas turbine units, presenting a diverse and realistic system for control strateg...
Ensuring reliable frequency regulation in contemporary multi-area interconnected power systems has become increasingly demanding due to changes in consumption patterns, the massive integration of intermittent renewable energy sources (RESs), the integration of distributed energy resources, reductions in power system in...
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