A Real-time Power Management Strategy based on Artificial Potential Field for Residential PV Systems

Xiangqiang Wu; Zhongting Tang; Tamas Kerekes

doi:10.23919/EPE23ECCEEurope58414.2023.10264619

A Real-time Power Management Strategy based on Artificial Potential Field for Residential PV Systems

Xiangqiang Wu^*, Zhongting Tang, Tamas Kerekes

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Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

Abstract

In order to avoid invalid optimization of day-ahead energy management strategies due to power fluctuations, a real-time strategy based on the artificial potential field is proposed in this paper. Based on one-year data, it has been validated that the proposed strategy can decrease battery degradation effectively, hence reducing the total operation cost by 4.7%.

Originalsprog	Engelsk
Titel	2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe
Forlag	IEEE (Institute of Electrical and Electronics Engineers)
Publikationsdato	2023
Artikelnummer	10264619
ISBN (Elektronisk)	9789075815412
DOI	https://doi.org/10.23919/EPE23ECCEEurope58414.2023.10264619
Status	Udgivet - 2023
Begivenhed	25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe - Aalborg, Danmark Varighed: 4 sep. 2023 → 8 sep. 2023

Konference

Konference	25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe
Land/Område	Danmark
By	Aalborg
Periode	04/09/2023 → 08/09/2023

Bibliografisk note

Publisher Copyright:
© 2023 EPE Association.

Adgang til dokumentet

10.23919/EPE23ECCEEurope58414.2023.10264619

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Citationsformater

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title = "A Real-time Power Management Strategy based on Artificial Potential Field for Residential PV Systems",

abstract = "In order to avoid invalid optimization of day-ahead energy management strategies due to power fluctuations, a real-time strategy based on the artificial potential field is proposed in this paper. Based on one-year data, it has been validated that the proposed strategy can decrease battery degradation effectively, hence reducing the total operation cost by 4.7%.",

keywords = "Battery, Cost, Lifetime, Photovoltaic, Power management",

author = "Xiangqiang Wu and Zhongting Tang and Tamas Kerekes",

note = "Publisher Copyright: {\textcopyright} 2023 EPE Association.; 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe ; Conference date: 04-09-2023 Through 08-09-2023",

year = "2023",

doi = "10.23919/EPE23ECCEEurope58414.2023.10264619",

language = "English",

booktitle = "2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe",

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Wu, X, Tang, Z & Kerekes, T 2023, A Real-time Power Management Strategy based on Artificial Potential Field for Residential PV Systems. i 2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe., 10264619, IEEE (Institute of Electrical and Electronics Engineers), 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe, Aalborg, Danmark, 04/09/2023. https://doi.org/10.23919/EPE23ECCEEurope58414.2023.10264619

A Real-time Power Management Strategy based on Artificial Potential Field for Residential PV Systems. / Wu, Xiangqiang; Tang, Zhongting; Kerekes, Tamas.
2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe. IEEE (Institute of Electrical and Electronics Engineers), 2023. 10264619.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - A Real-time Power Management Strategy based on Artificial Potential Field for Residential PV Systems

AU - Wu, Xiangqiang

AU - Tang, Zhongting

AU - Kerekes, Tamas

PY - 2023

Y1 - 2023

N2 - In order to avoid invalid optimization of day-ahead energy management strategies due to power fluctuations, a real-time strategy based on the artificial potential field is proposed in this paper. Based on one-year data, it has been validated that the proposed strategy can decrease battery degradation effectively, hence reducing the total operation cost by 4.7%.

AB - In order to avoid invalid optimization of day-ahead energy management strategies due to power fluctuations, a real-time strategy based on the artificial potential field is proposed in this paper. Based on one-year data, it has been validated that the proposed strategy can decrease battery degradation effectively, hence reducing the total operation cost by 4.7%.

KW - Battery

KW - Cost

KW - Lifetime

KW - Photovoltaic

KW - Power management

UR - http://www.scopus.com/inward/record.url?scp=85175157262&partnerID=8YFLogxK

U2 - 10.23919/EPE23ECCEEurope58414.2023.10264619

DO - 10.23919/EPE23ECCEEurope58414.2023.10264619

M3 - Article in proceeding

AN - SCOPUS:85175157262

BT - 2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe

PB - IEEE (Institute of Electrical and Electronics Engineers)

T2 - 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe

Y2 - 4 September 2023 through 8 September 2023

ER -

A Real-time Power Management Strategy based on Artificial Potential Field for Residential PV Systems

Abstract

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