Offset-free Data-Driven Predictive Control for Grid-Connected Power Converters in Weak Grid Faults
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866911274017751040 |
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| author | Kraayeveld, Ivo de Jong, Thomas Lazar, Mircea |
| author_facet | Kraayeveld, Ivo de Jong, Thomas Lazar, Mircea |
| contents | Grid-connected power converters encounter significant stability challenges during weak grid faults, when conventional PI-based controllers exhibit an oscillatory response and poor fault-ride-through performance. This paper addresses this problem by replacing the conventional outer PI controllers that regulate DC-link and PCC voltages with an offset-free data-driven predictive controller. The developed algorithm leverages either pre-fault or fault-time data to construct input-output predictors, yielding offset-free control without the need for physics-based modelling. Simulation results show that pre-fault offset-free DPC doubles the critical equivalent grid impedance that can be handled and reduces the root mean squared error during faults by a factor of 40, while maintaining computation times comparable to conventional PI control. These findings demonstrate that the developed offset-free data predictive controller offers a simple, robust, and computationally efficient alternative to conventional control, significantly enhancing fault-ride-through capabilities of converters in weak grids. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_14337 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Offset-free Data-Driven Predictive Control for Grid-Connected Power Converters in Weak Grid Faults Kraayeveld, Ivo de Jong, Thomas Lazar, Mircea Systems and Control Grid-connected power converters encounter significant stability challenges during weak grid faults, when conventional PI-based controllers exhibit an oscillatory response and poor fault-ride-through performance. This paper addresses this problem by replacing the conventional outer PI controllers that regulate DC-link and PCC voltages with an offset-free data-driven predictive controller. The developed algorithm leverages either pre-fault or fault-time data to construct input-output predictors, yielding offset-free control without the need for physics-based modelling. Simulation results show that pre-fault offset-free DPC doubles the critical equivalent grid impedance that can be handled and reduces the root mean squared error during faults by a factor of 40, while maintaining computation times comparable to conventional PI control. These findings demonstrate that the developed offset-free data predictive controller offers a simple, robust, and computationally efficient alternative to conventional control, significantly enhancing fault-ride-through capabilities of converters in weak grids. |
| title | Offset-free Data-Driven Predictive Control for Grid-Connected Power Converters in Weak Grid Faults |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2511.14337 |