Bivariate grid-connection speed control of hydraulic wind turbines

Chao Ai, Wei Gao, Lijuan Chen, Jiawei Guo, Xiangdong Kong, Andrew Plummer

Research output: Contribution to journalArticlepeer-review

9 Citations (SciVal)
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Abstract

The requirement for An electrical grid-connected wind turbine is that the synchronous generator speed is stable within a required speed range for the electrical grid. In this paper, a hydraulic wind turbine (HWT) system is considered, and the working principle and working conditions of the HWT are introduced. A novel speed control method is proposed in this paper, using both a proportional flow control valve and a variable displacement motor, which are adjusted in combination to control the speed of the HWT. By establishing a state space model of the HWT and solving the nonlinear system with a feedback linearization method, a bivariate tracking controller is constructed to realize accurate speed control under fluctuating wind speed and the load disturbance conditions. The effectiveness of the control method is verified by simulation, but experimental results highlight problems with the method. The theoretical controller is simplified to reduce sensitivity to measurement noise and modeling error. The control effect has been improved to some extent, but it is limited. Based on these results, combined with the sliding mode variable structure control method and the feedback linearization method to solve the problem of measurement noise and modeling error, and the effectiveness of the control law is finally verified experimentally. It lays a theoretical foundation for the practical application of HWT.
Original languageEnglish
Pages (from-to)296-320
JournalJournal of the Franklin Institute: Engineering and Applied Mathmatics
Volume358
Issue number1
Early online date17 Oct 2020
DOIs
Publication statusPublished - 31 Jan 2021

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 51775476, in part by the Natural Science Foundation of Hebei Province ,China under Grant E2018203388

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