Minimization of energy storage in a solar farm by controlling the state of charge of a battery bank

Miguel Mendieta; Luis I. Minchala; Oliver Probst

doi:10.1109/ROPEC55836.2022.10018652

Minimization of energy storage in a solar farm by controlling the state of charge of a battery bank

Miguel Mendieta
, Luis I. Minchala
, Oliver Probst

Universidad de Cuenca
Instituto Tecnologico de Estudios Superiores de Monterrey

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

Abstract

This paper presents a methodology for reducing energy storage requirements by using batteries to smooth out power variations of a solar farm. This reduction is achieved by combining the operation of an energy management system (EMS) with an optimally sized battery energy storage system (BESS). The capacity calculation of the BESS is determined by using an evolutionary algorithm. The EMS deploys a state-of-charge feedback (SOC-FB) control system to reduce the power variations of a solar farm, while the optimization algorithm determines the minimum required capacity of the BESS to keep the SOC in an acceptable range. This approach is tested by using real data from a small solar farm. Simulation results show a significant reduction of the power variation of the solar farm output, while the SOC of the BESS keeps within the operating range.

Original language	English
Title of host publication	2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665458924
DOIs	https://doi.org/10.1109/ROPEC55836.2022.10018652
State	Published - 2022
Event	2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022 - Ixtapa, Mexico Duration: 9 Nov 2022 → 11 Nov 2022

Publication series

Name	2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022

Conference

Conference	2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022
Country/Territory	Mexico
City	Ixtapa
Period	9/11/22 → 11/11/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Battery energy storage system
feedback control
output fluctuation
smoothing effect
solar farm
state of charge

Access to Document

10.1109/ROPEC55836.2022.10018652

Cite this

Mendieta, M., Minchala, L. I., & Probst, O. (2022). Minimization of energy storage in a solar farm by controlling the state of charge of a battery bank. In 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022 (2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROPEC55836.2022.10018652

Mendieta, Miguel ; Minchala, Luis I. ; Probst, Oliver. / Minimization of energy storage in a solar farm by controlling the state of charge of a battery bank. 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022).

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title = "Minimization of energy storage in a solar farm by controlling the state of charge of a battery bank",

abstract = "This paper presents a methodology for reducing energy storage requirements by using batteries to smooth out power variations of a solar farm. This reduction is achieved by combining the operation of an energy management system (EMS) with an optimally sized battery energy storage system (BESS). The capacity calculation of the BESS is determined by using an evolutionary algorithm. The EMS deploys a state-of-charge feedback (SOC-FB) control system to reduce the power variations of a solar farm, while the optimization algorithm determines the minimum required capacity of the BESS to keep the SOC in an acceptable range. This approach is tested by using real data from a small solar farm. Simulation results show a significant reduction of the power variation of the solar farm output, while the SOC of the BESS keeps within the operating range.",

keywords = "Battery energy storage system, feedback control, output fluctuation, smoothing effect, solar farm, state of charge",

author = "Miguel Mendieta and Minchala, \{Luis I.\} and Oliver Probst",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022 ; Conference date: 09-11-2022 Through 11-11-2022",

year = "2022",

doi = "10.1109/ROPEC55836.2022.10018652",

language = "Ingl{\'e}s",

series = "2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022",

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

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Mendieta, M, Minchala, LI & Probst, O 2022, Minimization of energy storage in a solar farm by controlling the state of charge of a battery bank. in 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022. 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022, Ixtapa, Mexico, 9/11/22. https://doi.org/10.1109/ROPEC55836.2022.10018652

Minimization of energy storage in a solar farm by controlling the state of charge of a battery bank. / Mendieta, Miguel; Minchala, Luis I.; Probst, Oliver.
2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022).

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

TY - GEN

T1 - Minimization of energy storage in a solar farm by controlling the state of charge of a battery bank

AU - Mendieta, Miguel

AU - Minchala, Luis I.

AU - Probst, Oliver

PY - 2022

Y1 - 2022

N2 - This paper presents a methodology for reducing energy storage requirements by using batteries to smooth out power variations of a solar farm. This reduction is achieved by combining the operation of an energy management system (EMS) with an optimally sized battery energy storage system (BESS). The capacity calculation of the BESS is determined by using an evolutionary algorithm. The EMS deploys a state-of-charge feedback (SOC-FB) control system to reduce the power variations of a solar farm, while the optimization algorithm determines the minimum required capacity of the BESS to keep the SOC in an acceptable range. This approach is tested by using real data from a small solar farm. Simulation results show a significant reduction of the power variation of the solar farm output, while the SOC of the BESS keeps within the operating range.

AB - This paper presents a methodology for reducing energy storage requirements by using batteries to smooth out power variations of a solar farm. This reduction is achieved by combining the operation of an energy management system (EMS) with an optimally sized battery energy storage system (BESS). The capacity calculation of the BESS is determined by using an evolutionary algorithm. The EMS deploys a state-of-charge feedback (SOC-FB) control system to reduce the power variations of a solar farm, while the optimization algorithm determines the minimum required capacity of the BESS to keep the SOC in an acceptable range. This approach is tested by using real data from a small solar farm. Simulation results show a significant reduction of the power variation of the solar farm output, while the SOC of the BESS keeps within the operating range.

KW - Battery energy storage system

KW - feedback control

KW - output fluctuation

KW - smoothing effect

KW - solar farm

KW - state of charge

UR - https://www.scopus.com/pages/publications/85147542773

U2 - 10.1109/ROPEC55836.2022.10018652

DO - 10.1109/ROPEC55836.2022.10018652

M3 - Contribución a la conferencia

AN - SCOPUS:85147542773

T3 - 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022

BT - 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022

Y2 - 9 November 2022 through 11 November 2022

ER -

Mendieta M, Minchala LI, Probst O. Minimization of energy storage in a solar farm by controlling the state of charge of a battery bank. In 2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022). doi: 10.1109/ROPEC55836.2022.10018652

Minimization of energy storage in a solar farm by controlling the state of charge of a battery bank

Abstract

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UN SDGs

Keywords

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