A Primary Frequency Control Strategy for Variable-Speed Pumped-Storage Plant in Power Generation Based on Adaptive Model Predictive Control
Zhenghua Xu, Changhong Deng, and Qiuling Yang

TL;DR
This paper proposes an adaptive model predictive control strategy for variable-speed pumped-storage plants to enhance primary frequency control in power systems with low inertia, leveraging their flexibility.
Contribution
It introduces a novel adaptive model predictive control approach specifically designed for variable-speed pumped-storage plants to improve frequency regulation.
Findings
Enhanced frequency stability demonstrated in simulations.
Adaptive control outperforms traditional methods.
Improved response time and robustness.
Abstract
Variable-speed pumped-storage (VSPS) has great potential in helping solve the frequency control problem caused by low inertia, owing to its remarkable flexibility beyond conventional fixed-speed one, to make better use of which, a primary frequency control strategy based on adaptive model predictive control (AMPC) is proposed in this paper for VSPS plant in power generation.
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Taxonomy
TopicsMicrogrid Control and Optimization · Power Systems and Renewable Energy
