Abstract
A method for an efficient operation of a battery energy storage system (BESS) associated with frequency control problem is presented in this paper. A control system model is proposed to simulate the operation of BESS, and a controller is designed. The strategy is based on model predictive control to ensure the optimal operation of BESS in the presence of system constraints. A frequency prediction model based on Grey theory is also designed to optimize the performance of the predictive controller. The method is tested using real measurements from a power grid. The simulation results depict the effectiveness of the proposed approach.
| Original language | English |
|---|---|
| Pages (from-to) | 127-132 |
| Number of pages | 6 |
| Journal | Renewable Energy |
| Volume | 48 |
| DOIs | |
| State | Published - Dec 2012 |
| Externally published | Yes |
Bibliographical note
Funding Information:This work was supported by the Australian Research Council . The authors would like to thank Hugh Outhred, Iain MacGill, Merlinde Kay, Nicholas Cutler, and Peerapat Vithayasrichareon at the Centre of Energy and Environmental Markets, UNSW for their assistance in getting the required time series data to carry out this research.
Keywords
- Battery energy storage
- Frequency control
- Model predictive control
- Prediction
- Wind power
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
