Parameter Self-tuning of Machine Side PI Controller in Wind Power System Based on Particle Swarm Optimization
In the machine side simulation model of wind power generation system based on PMSG, PI controller is often used for double-closed-loop control of speed and current. As this model has many PI controllers, it is difficult to determine the parameters of multiple PI controllers at the same time by the c...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2018-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.05.003 |
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| Summary: | In the machine side simulation model of wind power generation system based on PMSG, PI controller is often used for double-closed-loop control of speed and current. As this model has many PI controllers, it is difficult to determine the parameters of multiple PI controllers at the same time by the common PI controller parameter setting method. It established a motor side model of wind power generation system by adopting particle swarm optimization (PSO), and used error performance index of the model as the fitness value of the algorithm. Powerful optimization ability of PSO is used to self-tune the parameters of PI controller in the model, thus the parameter tuning problem is transformed into the algorithm optimization problem. The simulation results show that the PSO can not only realize the self-tuning of multiple PI controller parameters at the same time, but also satisfy the expected output requirements. |
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| ISSN: | 2096-5427 |