@inproceedings{ca19fe7c9db449419a307de985330b04,
title = "Model predictive control of distributed and aggregated Battery Energy Storage System for capacity optimization",
abstract = "This paper presents a methodology to optimize 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 and the strategy is analyzed as a way of improving the suppression of the fluctuations in the wind farm power output. The model is tested for a similar wind power profile where the turbines are located at close geographic locations with similar geographic conditions. This power profile is also assessed under a variety of hard system constraints for both the proposed and conventional BESS configurations. It was proved that the performance of the proposed semi-distributed BESS scheme is better than that of conventional approaches, based on the results validated with real-world wind farm data.",
keywords = "Wind power, distributed battery energy storage, model predictive control",
author = "Muhammad Khalid and Savkin, \{Andrey V.\}",
year = "2011",
doi = "10.1109/ICCA.2011.6137882",
language = "English",
isbn = "9781457714757",
series = "IEEE International Conference on Control and Automation, ICCA",
pages = "521--526",
booktitle = "2011 9th IEEE International Conference on Control and Automation, ICCA 2011",
}
