Abstract
Flywheel energy storage technology plays an important role in enhancing the operation reliability and efficiency of wind power generation farms. This work investigates an aggregated connection topology of flywheel energy storage matrix system, which is composed of multiple flywheel energy storage system (FESS) units within a wind farm. Based on this architecture, an effective charge/discharge strategy is introduced in order to ensure cooperative operation among flywheels, so as to realize smooth power transients, quality regulation, and voltage restoration. For each FESS unit, a structurally simple and computationally inexpensive neural-adaptive proportional integration derivative (PID) control algorithm based on Lyapunov stability theory is developed to control each flywheel individually in coordinated and stable manner. The merits and benefits of the proposed method are validated and demonstrated by both numerical simulations and experimental results.
| Original language | English |
|---|---|
| Pages (from-to) | 48-56 |
| Number of pages | 9 |
| Journal | IEEE/ASME Transactions on Mechatronics |
| Volume | 23 |
| Issue number | 1 |
| Early online date | 16 Jan 2017 |
| DOIs | |
| Publication status | Published - Feb 2018 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Funding
This work was supported in part by the Technology Transformation Program of Chongqing Higher Education University under Grant KJZH17102.
Keywords
- Coordinated control
- energy storage systems
- flywheel
- neuroadaptive control
- renewable energy
- wind farm
