MPC Based Ramp-Rate Control Strategy with Battery Energy Storage Systems for Wind Farms

Marlon A. Capuno; Jung Su Kim; Hwachang Song

doi:10.1109/PlatCon.2018.8472747

MPC Based Ramp-Rate Control Strategy with Battery Energy Storage Systems for Wind Farms

Marlon A. Capuno
, Jung Su Kim
, Hwachang Song

Dept. of Electrical and Information Engineering

Seoul National University of Science and Technology (SNUST)

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

1 Scopus citations

Abstract

This paper tackles the problem of short-term wind fluctuation with the imposition of strict ramp rate limits. A control strategy is proposed to reduce the output ramp-rate of a wind farm to a required level using model predictive control (MPC). The system consists of a wind farm coupled with a battery energy storage system (BESS) with the sole function of ramp-rate control (RRC) that optimizes the wind power output as well as the BESS output energy while observing the physical constraints. A variation of up to 10% of the maximum plant capacity per minute is observed in the implementation of RRC as required the grid code for the acceptable penetration of wind farms into the power system.

Original language	English
Title of host publication	2018 International Conference on Platform Technology and Service, PlatCon 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538647103
DOIs	https://doi.org/10.1109/PlatCon.2018.8472747
State	Published - 25 Sep 2018
Event	2018 International Conference on Platform Technology and Service, PlatCon 2018 - Jeju, Korea, Republic of Duration: 29 Jan 2018 → 31 Jan 2018

Publication series

Name	2018 International Conference on Platform Technology and Service, PlatCon 2018

Conference

Conference	2018 International Conference on Platform Technology and Service, PlatCon 2018
Country/Territory	Korea, Republic of
City	Jeju
Period	29/01/18 → 31/01/18

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

BESS
MPC
ramp rate control
wind farms

Access to Document

10.1109/PlatCon.2018.8472747

Cite this

Capuno, M. A., Kim, J. S., & Song, H. (2018). MPC Based Ramp-Rate Control Strategy with Battery Energy Storage Systems for Wind Farms. In 2018 International Conference on Platform Technology and Service, PlatCon 2018 Article 8472747 (2018 International Conference on Platform Technology and Service, PlatCon 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PlatCon.2018.8472747

@inproceedings{cbbbcffc79634492829d5becd9bc384f,

title = "MPC Based Ramp-Rate Control Strategy with Battery Energy Storage Systems for Wind Farms",

abstract = "This paper tackles the problem of short-term wind fluctuation with the imposition of strict ramp rate limits. A control strategy is proposed to reduce the output ramp-rate of a wind farm to a required level using model predictive control (MPC). The system consists of a wind farm coupled with a battery energy storage system (BESS) with the sole function of ramp-rate control (RRC) that optimizes the wind power output as well as the BESS output energy while observing the physical constraints. A variation of up to 10\% of the maximum plant capacity per minute is observed in the implementation of RRC as required the grid code for the acceptable penetration of wind farms into the power system.",

keywords = "BESS, MPC, ramp rate control, wind farms",

author = "Capuno, \{Marlon A.\} and Kim, \{Jung Su\} and Hwachang Song",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Platform Technology and Service, PlatCon 2018 ; Conference date: 29-01-2018 Through 31-01-2018",

year = "2018",

month = sep,

day = "25",

doi = "10.1109/PlatCon.2018.8472747",

language = "English",

series = "2018 International Conference on Platform Technology and Service, PlatCon 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Capuno, MA, Kim, JS & Song, H 2018, MPC Based Ramp-Rate Control Strategy with Battery Energy Storage Systems for Wind Farms. in 2018 International Conference on Platform Technology and Service, PlatCon 2018., 8472747, 2018 International Conference on Platform Technology and Service, PlatCon 2018, Institute of Electrical and Electronics Engineers Inc., 2018 International Conference on Platform Technology and Service, PlatCon 2018, Jeju, Korea, Republic of, 29/01/18. https://doi.org/10.1109/PlatCon.2018.8472747

MPC Based Ramp-Rate Control Strategy with Battery Energy Storage Systems for Wind Farms. / Capuno, Marlon A.; Kim, Jung Su ; Song, Hwachang.
2018 International Conference on Platform Technology and Service, PlatCon 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8472747 (2018 International Conference on Platform Technology and Service, PlatCon 2018).

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

TY - GEN

T1 - MPC Based Ramp-Rate Control Strategy with Battery Energy Storage Systems for Wind Farms

AU - Capuno, Marlon A.

AU - Kim, Jung Su

AU - Song, Hwachang

PY - 2018/9/25

Y1 - 2018/9/25

N2 - This paper tackles the problem of short-term wind fluctuation with the imposition of strict ramp rate limits. A control strategy is proposed to reduce the output ramp-rate of a wind farm to a required level using model predictive control (MPC). The system consists of a wind farm coupled with a battery energy storage system (BESS) with the sole function of ramp-rate control (RRC) that optimizes the wind power output as well as the BESS output energy while observing the physical constraints. A variation of up to 10% of the maximum plant capacity per minute is observed in the implementation of RRC as required the grid code for the acceptable penetration of wind farms into the power system.

AB - This paper tackles the problem of short-term wind fluctuation with the imposition of strict ramp rate limits. A control strategy is proposed to reduce the output ramp-rate of a wind farm to a required level using model predictive control (MPC). The system consists of a wind farm coupled with a battery energy storage system (BESS) with the sole function of ramp-rate control (RRC) that optimizes the wind power output as well as the BESS output energy while observing the physical constraints. A variation of up to 10% of the maximum plant capacity per minute is observed in the implementation of RRC as required the grid code for the acceptable penetration of wind farms into the power system.

KW - BESS

KW - MPC

KW - ramp rate control

KW - wind farms

UR - https://www.scopus.com/pages/publications/85055659463

U2 - 10.1109/PlatCon.2018.8472747

DO - 10.1109/PlatCon.2018.8472747

M3 - Conference contribution

AN - SCOPUS:85055659463

T3 - 2018 International Conference on Platform Technology and Service, PlatCon 2018

BT - 2018 International Conference on Platform Technology and Service, PlatCon 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 International Conference on Platform Technology and Service, PlatCon 2018

Y2 - 29 January 2018 through 31 January 2018

ER -

Capuno MA, Kim JS , Song H. MPC Based Ramp-Rate Control Strategy with Battery Energy Storage Systems for Wind Farms. In 2018 International Conference on Platform Technology and Service, PlatCon 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8472747. (2018 International Conference on Platform Technology and Service, PlatCon 2018). doi: 10.1109/PlatCon.2018.8472747

MPC Based Ramp-Rate Control Strategy with Battery Energy Storage Systems for Wind Farms

Abstract

Publication series

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UN SDGs

Keywords

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