Distributed Load Frequency Control of Multi-Area Smart Grid
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Acceso en línea: | |
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| _version_ | 1866911571516588032 |
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| author | Yang, Wenjing Zhang, Zhaorong Li, Xun Xu, Juanjuan |
| author_facet | Yang, Wenjing Zhang, Zhaorong Li, Xun Xu, Juanjuan |
| contents | In this paper, we investigate the distributed load frequency control problem in a multi-area smart grid under external load disturbances and measurement noise. The novelty lies in that the information privacy is fully taken into account, that is, the internal structural parameters and operational states of each area are not shared with non-neighboring areas, which makes traditional distributed optimal control methods ineffective. The main contribution is to propose a distributed algorithm for the global optimal power regulation command under information privacy constraints via distributed approximation of the control Riccati equation, the estimation Riccati equation, and the state estimation. Simulation results show that the proposed algorithm can approximate the performance of centralized optimal control, and the performance index under the proposed distributed controller is smaller than that under the commonly used distributed control. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_05390 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Distributed Load Frequency Control of Multi-Area Smart Grid Yang, Wenjing Zhang, Zhaorong Li, Xun Xu, Juanjuan Optimization and Control 93-08 In this paper, we investigate the distributed load frequency control problem in a multi-area smart grid under external load disturbances and measurement noise. The novelty lies in that the information privacy is fully taken into account, that is, the internal structural parameters and operational states of each area are not shared with non-neighboring areas, which makes traditional distributed optimal control methods ineffective. The main contribution is to propose a distributed algorithm for the global optimal power regulation command under information privacy constraints via distributed approximation of the control Riccati equation, the estimation Riccati equation, and the state estimation. Simulation results show that the proposed algorithm can approximate the performance of centralized optimal control, and the performance index under the proposed distributed controller is smaller than that under the commonly used distributed control. |
| title | Distributed Load Frequency Control of Multi-Area Smart Grid |
| topic | Optimization and Control 93-08 |
| url | https://arxiv.org/abs/2604.05390 |