Optimization and control of a distributed battery energy storage system for wind power smoothing

Muhammad Khalid; Andrey V. Savkin

doi:10.1109/MED.2011.5983095

Optimization and control of a distributed battery energy storage system for wind power smoothing

Muhammad Khalid^*
, Andrey V. Savkin

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Scopus citations

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	https://doi.org/10.1109/MED.2011.5983095
State	Published - 2011
Externally published	Yes

Publication series

Name	2011 19th Mediterranean Conference on Control and Automation, MED 2011

Keywords

Energy storage
model predictive control
wind power

ASJC Scopus subject areas

Control and Systems Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/MED.2011.5983095

Cite this

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title = "Optimization and control of a distributed battery energy storage system for wind power smoothing",

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.",

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author = "Muhammad Khalid and Savkin, \{Andrey V.\}",

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language = "English",

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series = "2011 19th Mediterranean Conference on Control and Automation, MED 2011",

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Optimization and control of a distributed battery energy storage system for wind power smoothing. / Khalid, Muhammad; Savkin, Andrey V.
2011 19th Mediterranean Conference on Control and Automation, MED 2011. 2011. p. 39-43 5983095 (2011 19th Mediterranean Conference on Control and Automation, MED 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimization and control of a distributed battery energy storage system for wind power smoothing

AU - Khalid, Muhammad

AU - Savkin, Andrey V.

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Energy storage

KW - model predictive control

KW - wind power

UR - https://www.scopus.com/pages/publications/80052363768

U2 - 10.1109/MED.2011.5983095

DO - 10.1109/MED.2011.5983095

M3 - Conference contribution

AN - SCOPUS:80052363768

SN - 9781457701252

T3 - 2011 19th Mediterranean Conference on Control and Automation, MED 2011

SP - 39

EP - 43

BT - 2011 19th Mediterranean Conference on Control and Automation, MED 2011

ER -

Optimization and control of a distributed battery energy storage system for wind power smoothing

Abstract

Publication series

Keywords

ASJC Scopus subject areas

UN SDGs

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Cite this