Abstract
This paper presents a methodology to minimize the capacity of a Battery Energy Storage System (BESS) in a distributed configuration of wind power sources. A new semi-distributed BESS scheme is proposed to improve the suppression of the fluctuations in the wind farm power output. The proposed control system is tested for two dissimilar power profiles of the turbines where the turbines are located far from each other geographically. The scheme is analyzed under a variety of hard system constraints. It was observed that the performance of the proposed semi-distributed BESS scheme is better than that of conventional approaches.
| Original language | English |
|---|---|
| Title of host publication | 2011 19th Mediterranean Conference on Control and Automation, MED 2011 |
| Pages | 39-43 |
| Number of pages | 5 |
| DOIs | |
| State | Published - 2011 |
| Externally published | Yes |
Publication series
| Name | 2011 19th Mediterranean Conference on Control and Automation, MED 2011 |
|---|
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Energy storage
- model predictive control
- wind power
ASJC Scopus subject areas
- Control and Systems Engineering
Fingerprint
Dive into the research topics of 'Optimization and control of a distributed battery energy storage system for wind power smoothing'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver