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Pregled bibliografske jedinice broj: 1212118

Research on node voltage indices for battery storage management through fuzzy decision making in power distribution networks


Barukčić, Marinko; Varga, Toni; Benšić, Tin; Jerković Štil, Vedrana
Research on node voltage indices for battery storage management through fuzzy decision making in power distribution networks // 2022 IEEE 7th International Energy Conference (ENERGYCON)
Riga, Latvija: Institute of Electrical and Electronics Engineers (IEEE), 2022. str. 1-6 doi:10.1109/energycon53164.2022.9830192 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1212118 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Research on node voltage indices for battery storage management through fuzzy decision making in power distribution networks

Autori
Barukčić, Marinko ; Varga, Toni ; Benšić, Tin ; Jerković Štil, Vedrana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2022 IEEE 7th International Energy Conference (ENERGYCON) / - : Institute of Electrical and Electronics Engineers (IEEE), 2022, 1-6

ISBN
978-1-6654-7982-0

Skup
2022 IEEE 7th International Energy Conference (ENERGYCON)

Mjesto i datum
Riga, Latvija, 09.05.2022. - 12.05.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
battery storage system ; power distribution system ; fuzzy energy management ; optimization

Sažetak
This paper presents research on power management of a battery storage system (With the aim of reducing system losses) Without information about loads in a power distribution network with installed renewable energy sources and distributed generation. The poWer management of the storage system used in the research is based on a fuzzy inference system to define the input or output poWer of the battery storage system. The optimization procedure to determine the optimal parameters of the power management system is also provided. Except for the optimal allocation of the battery storage and distributed generation systems, the optimization of the parameters is performed along with the allocation optimization. The whole optimization problem is solved for the annual data of load and generation profiles of renewable sources using hourly values, i.e., the optimization is solved simultaneously for 8760 load and generation data. The optimization problem is solved by co-simulation using the metaheuristic optimization technique. Since the method is based on the use of fuzzy systems and metaheuristic optimization, it represents the implementation of computer intelligence for optimal allocation and energy management problems. The presented method is applied to the test distribution system IEEE with 37 nodes. The achieved reduction in annual energy losses is about 40 % of the losses in the power system without the distributed generation units and the battery storage system.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
UIP-2017-05-8572 - Razvoj postupaka kosimulacija programskih alata za primjenu mekog računarstva u elektroenergetici (COPESOC) (Barukčić, Marinko, HRZZ - 2017-05) ( CroRIS)

Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Vedrana Jerković (autor)

Avatar Url Marinko Barukčić (autor)

Avatar Url Tin Benšić (autor)

Avatar Url Toni Varga (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Barukčić, Marinko; Varga, Toni; Benšić, Tin; Jerković Štil, Vedrana
Research on node voltage indices for battery storage management through fuzzy decision making in power distribution networks // 2022 IEEE 7th International Energy Conference (ENERGYCON)
Riga, Latvija: Institute of Electrical and Electronics Engineers (IEEE), 2022. str. 1-6 doi:10.1109/energycon53164.2022.9830192 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Barukčić, M., Varga, T., Benšić, T. & Jerković Štil, V. (2022) Research on node voltage indices for battery storage management through fuzzy decision making in power distribution networks. U: 2022 IEEE 7th International Energy Conference (ENERGYCON) doi:10.1109/energycon53164.2022.9830192.
@article{article, author = {Baruk\v{c}i\'{c}, Marinko and Varga, Toni and Ben\v{s}i\'{c}, Tin and Jerkovi\'{c} \v{S}til, Vedrana}, year = {2022}, pages = {1-6}, DOI = {10.1109/energycon53164.2022.9830192}, keywords = {battery storage system, power distribution system, fuzzy energy management, optimization}, doi = {10.1109/energycon53164.2022.9830192}, isbn = {978-1-6654-7982-0}, title = {Research on node voltage indices for battery storage management through fuzzy decision making in power distribution networks}, keyword = {battery storage system, power distribution system, fuzzy energy management, optimization}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Riga, Latvija} }
@article{article, author = {Baruk\v{c}i\'{c}, Marinko and Varga, Toni and Ben\v{s}i\'{c}, Tin and Jerkovi\'{c} \v{S}til, Vedrana}, year = {2022}, pages = {1-6}, DOI = {10.1109/energycon53164.2022.9830192}, keywords = {battery storage system, power distribution system, fuzzy energy management, optimization}, doi = {10.1109/energycon53164.2022.9830192}, isbn = {978-1-6654-7982-0}, title = {Research on node voltage indices for battery storage management through fuzzy decision making in power distribution networks}, keyword = {battery storage system, power distribution system, fuzzy energy management, optimization}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Riga, Latvija} }

Citati:





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