Reactive power flow optimization in AC drive systems
Fuente:
arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866908630582820864 |
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| author | Chandrasekaran, Sanjay Arghir, Catalin Joerg, Pieder Doerfler, Florian Mastellone, Silvia |
| author_facet | Chandrasekaran, Sanjay Arghir, Catalin Joerg, Pieder Doerfler, Florian Mastellone, Silvia |
| contents | This paper explores a limit avoidance approach in the case of input (modulation) and output (current) constraints with the aim of enhancing system availability of AC drives. Drawing on the observation that, in a certain range of reactive power, there exists a trade-off between current and modulation magnitude, we exploit this freedom and define a constrained optimization problem. We propose two approaches, one in the form of an activation-function which drives the reactive power set-point towards safety, and an approach which uses online feedback optimization to set the reactive power dynamically. Both methods compromise reactive power tracking accuracy for increased system robustness. Through a high fidelity simulation, we compare the benefits of the two methods, highlighting their effectiveness in industrial applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_10360 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Reactive power flow optimization in AC drive systems Chandrasekaran, Sanjay Arghir, Catalin Joerg, Pieder Doerfler, Florian Mastellone, Silvia Systems and Control Optimization and Control This paper explores a limit avoidance approach in the case of input (modulation) and output (current) constraints with the aim of enhancing system availability of AC drives. Drawing on the observation that, in a certain range of reactive power, there exists a trade-off between current and modulation magnitude, we exploit this freedom and define a constrained optimization problem. We propose two approaches, one in the form of an activation-function which drives the reactive power set-point towards safety, and an approach which uses online feedback optimization to set the reactive power dynamically. Both methods compromise reactive power tracking accuracy for increased system robustness. Through a high fidelity simulation, we compare the benefits of the two methods, highlighting their effectiveness in industrial applications. |
| title | Reactive power flow optimization in AC drive systems |
| topic | Systems and Control Optimization and Control |
| url | https://arxiv.org/abs/2504.10360 |