Abstract
Wind farm normally involves a large number of wind turbines that are interactive due to air flow influence, making it interesting yet challenging to design a decentralised control scheme for each turbine unit so that stable power generation of wind farm is achieved. In this study, a decentralised adaptive control scheme is proposed for interconnected wind power generation systems in the presence of uncertain interaction among the turbines, capturing the maximum possible wind power. Based upon the disturbance observer technique, the unknown compounded disturbance is estimated. A speed function contributing to the decentralised control solution is introduced to improve the transient behaviour of the power tracking during the main course of the system operation so that the tracking error converges to a preassigned arbitrarily small compact set with a prescribed rate of convergence in a given finite time. The effectiveness of the proposed neuroadaptive tracking control strategy is verified through numerical simulation.
| Original language | English |
|---|---|
| Pages (from-to) | 1741-1749 |
| Number of pages | 9 |
| Journal | IET Renewable Power Generation |
| Volume | 13 |
| Issue number | 10 |
| Early online date | 20 May 2019 |
| DOIs | |
| Publication status | Published - Jul 2019 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© The Institution of Engineering and Technology
Funding
This work was supported in part by the National Natural Science Foundation of China (No. 61773081, No. 61860206008, No. 61803053, and No. 61703061), the Fundamental Research Funds for the Central Universities (No. 2018CDPTCG0001/43 and No. 2019CDCGZDH208), and Chongqing Research Program of Basic Research and Frontier Technology (No. cstc2018jcyjAX0082 and No. cstc2018jcyjAX0498).
