Cuckoo-search optimized fuzzy-logic control of stationary battery storage systems

Cong Nam Truong; Daniel C. May; Rodrigo Martins; Petr Musilek; Andreas Jossen; Holger C. Hesse

doi:10.1109/EPEC.2017.8286239

Cuckoo-search optimized fuzzy-logic control of stationary battery storage systems

Cong Nam Truong
, Daniel C. May
, Rodrigo Martins
, Petr Musilek
, Andreas Jossen
, Holger C. Hesse

Chair of Electrical Energy Storage Technology

Technical University of Munich
University of Alberta
University of Hradec Králové

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

4 Scopus citations

Abstract

Energy storage systems are acknowledged as key components for transforming the power system towards low-carbon technology. The performance and resulting benefit of energy storage systems are determined by their operation strategies. We present a generic and adaptive control algorithm, based on fuzzy-logic and optimized by a meta heuristic search method. The performance of the algorithm is demonstrated in a solar home context, with the aim to alleviate the voltage rise in the low-voltage distribution grid caused by renewable energy generation. This is achieved by reducing the household's peak feed-in of each day. The obtained results show that the proposed algorithm performs similarly well as a rule-based reference algorithm, specifically designed to reduce the daily feed-in peak. At the same time, the generic structure of the proposed controller is by far more versatile, as it allows its application in a variety of scenarios just by modifying the objective function for the search algorithm.

Original language	English
Title of host publication	2017 IEEE Electrical Power and Energy Conference, EPEC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538608173
DOIs	https://doi.org/10.1109/EPEC.2017.8286239
State	Published - 2 Jul 2017
Event	2017 IEEE Electrical Power and Energy Conference, EPEC 2017 - Saskatoon, Canada Duration: 22 Oct 2017 → 25 Oct 2017

Publication series

Name	2017 IEEE Electrical Power and Energy Conference, EPEC 2017
Volume	2017-October

Conference

Conference	2017 IEEE Electrical Power and Energy Conference, EPEC 2017
Country/Territory	Canada
City	Saskatoon
Period	22/10/17 → 25/10/17

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

battery energy storage system
cuckoo-search
direct charge
dynamic feed-in limit
fuzzy-logic control
membership function
operation strategy
photovoltaic

Access to Document

10.1109/EPEC.2017.8286239

Cite this

Truong, C. N., May, D. C., Martins, R., Musilek, P., Jossen, A., & Hesse, H. C. (2017). Cuckoo-search optimized fuzzy-logic control of stationary battery storage systems. In 2017 IEEE Electrical Power and Energy Conference, EPEC 2017 (pp. 1-6). (2017 IEEE Electrical Power and Energy Conference, EPEC 2017; Vol. 2017-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EPEC.2017.8286239

@inproceedings{6e832d7833004b3b937c26775e163e49,

title = "Cuckoo-search optimized fuzzy-logic control of stationary battery storage systems",

abstract = "Energy storage systems are acknowledged as key components for transforming the power system towards low-carbon technology. The performance and resulting benefit of energy storage systems are determined by their operation strategies. We present a generic and adaptive control algorithm, based on fuzzy-logic and optimized by a meta heuristic search method. The performance of the algorithm is demonstrated in a solar home context, with the aim to alleviate the voltage rise in the low-voltage distribution grid caused by renewable energy generation. This is achieved by reducing the household's peak feed-in of each day. The obtained results show that the proposed algorithm performs similarly well as a rule-based reference algorithm, specifically designed to reduce the daily feed-in peak. At the same time, the generic structure of the proposed controller is by far more versatile, as it allows its application in a variety of scenarios just by modifying the objective function for the search algorithm.",

keywords = "battery energy storage system, cuckoo-search, direct charge, dynamic feed-in limit, fuzzy-logic control, membership function, operation strategy, photovoltaic",

author = "Truong, \{Cong Nam\} and May, \{Daniel C.\} and Rodrigo Martins and Petr Musilek and Andreas Jossen and Hesse, \{Holger C.\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Electrical Power and Energy Conference, EPEC 2017 ; Conference date: 22-10-2017 Through 25-10-2017",

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language = "English",

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Truong, CN, May, DC, Martins, R, Musilek, P, Jossen, A & Hesse, HC 2017, Cuckoo-search optimized fuzzy-logic control of stationary battery storage systems. in 2017 IEEE Electrical Power and Energy Conference, EPEC 2017. 2017 IEEE Electrical Power and Energy Conference, EPEC 2017, vol. 2017-October, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2017 IEEE Electrical Power and Energy Conference, EPEC 2017, Saskatoon, Canada, 22/10/17. https://doi.org/10.1109/EPEC.2017.8286239

Cuckoo-search optimized fuzzy-logic control of stationary battery storage systems. / Truong, Cong Nam; May, Daniel C.; Martins, Rodrigo et al.
2017 IEEE Electrical Power and Energy Conference, EPEC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-6 (2017 IEEE Electrical Power and Energy Conference, EPEC 2017; Vol. 2017-October).

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

TY - GEN

T1 - Cuckoo-search optimized fuzzy-logic control of stationary battery storage systems

AU - Truong, Cong Nam

AU - May, Daniel C.

AU - Martins, Rodrigo

AU - Musilek, Petr

AU - Jossen, Andreas

AU - Hesse, Holger C.

PY - 2017/7/2

Y1 - 2017/7/2

N2 - Energy storage systems are acknowledged as key components for transforming the power system towards low-carbon technology. The performance and resulting benefit of energy storage systems are determined by their operation strategies. We present a generic and adaptive control algorithm, based on fuzzy-logic and optimized by a meta heuristic search method. The performance of the algorithm is demonstrated in a solar home context, with the aim to alleviate the voltage rise in the low-voltage distribution grid caused by renewable energy generation. This is achieved by reducing the household's peak feed-in of each day. The obtained results show that the proposed algorithm performs similarly well as a rule-based reference algorithm, specifically designed to reduce the daily feed-in peak. At the same time, the generic structure of the proposed controller is by far more versatile, as it allows its application in a variety of scenarios just by modifying the objective function for the search algorithm.

AB - Energy storage systems are acknowledged as key components for transforming the power system towards low-carbon technology. The performance and resulting benefit of energy storage systems are determined by their operation strategies. We present a generic and adaptive control algorithm, based on fuzzy-logic and optimized by a meta heuristic search method. The performance of the algorithm is demonstrated in a solar home context, with the aim to alleviate the voltage rise in the low-voltage distribution grid caused by renewable energy generation. This is achieved by reducing the household's peak feed-in of each day. The obtained results show that the proposed algorithm performs similarly well as a rule-based reference algorithm, specifically designed to reduce the daily feed-in peak. At the same time, the generic structure of the proposed controller is by far more versatile, as it allows its application in a variety of scenarios just by modifying the objective function for the search algorithm.

KW - battery energy storage system

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KW - direct charge

KW - dynamic feed-in limit

KW - fuzzy-logic control

KW - membership function

KW - operation strategy

KW - photovoltaic

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M3 - Conference contribution

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ER -

Truong CN, May DC, Martins R, Musilek P, Jossen A, Hesse HC. Cuckoo-search optimized fuzzy-logic control of stationary battery storage systems. In 2017 IEEE Electrical Power and Energy Conference, EPEC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-6. (2017 IEEE Electrical Power and Energy Conference, EPEC 2017). doi: 10.1109/EPEC.2017.8286239

Cuckoo-search optimized fuzzy-logic control of stationary battery storage systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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