Onsite Renewable Generation Time Shifting for Photovoltaic Systems

Rakshith Subramanya; Harri Aaltonen; Seppo Sierla; Valeriy Vyatkin

doi:10.1109/ISIE51358.2023.10228097

Onsite Renewable Generation Time Shifting for Photovoltaic Systems

Rakshith Subramanya^*
, Harri Aaltonen
, Seppo Sierla
, Valeriy Vyatkin

^*Corresponding author for this work

Luleå University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

42 Downloads (Pure)

Abstract

This paper examines the challenge of bidding a battery system on an electrical power market with varying prices. Optimizing bids for each market interval is a complex challenge since the bid size for one market interval affects the battery availability during several subsequent market intervals. In this paper, a renewable generation unit such as Photovoltaic (PV) and a battery storage are considered, with the battery used to shift electricity sales from low-price market intervals to high-price market intervals. The battery can also be used to smooth momentary fluctuations in generated power, cope with differences between actual and forecasted generation, and help to meet the maximum power limit constraint. This paper evaluates how to best manage the battery for optimal bidding in an electrical power market.

Original language	English
Title of host publication	2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings
Publisher	IEEE
ISBN (Electronic)	979-8-3503-9971-4
DOIs	https://doi.org/10.1109/ISIE51358.2023.10228097
Publication status	Published - 2023
MoE publication type	A4 Conference publication
Event	International Symposium on Industrial Electronics - Espoo, Finland Duration: 19 Jun 2023 → 21 Jun 2023 Conference number: 32

Publication series

Name	Proceedings of the IEEE International Symposium on Industrial Electronics
Volume	2023-June
ISSN (Electronic)	2163-5145

Conference

Conference	International Symposium on Industrial Electronics
Abbreviated title	ISIE
Country/Territory	Finland
City	Espoo
Period	19/06/2023 → 21/06/2023

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

artificial intelligence
battery
electricity market
frequency reserve.
reinforcement learning

Access to Document

10.1109/ISIE51358.2023.10228097

2023106957Accepted author manuscript, 630 KB

Cite this

Subramanya, R., Aaltonen, H., Sierla, S., & Vyatkin, V. (2023). Onsite Renewable Generation Time Shifting for Photovoltaic Systems. In 2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings (Proceedings of the IEEE International Symposium on Industrial Electronics; Vol. 2023-June). IEEE. https://doi.org/10.1109/ISIE51358.2023.10228097

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title = "Onsite Renewable Generation Time Shifting for Photovoltaic Systems",

abstract = "This paper examines the challenge of bidding a battery system on an electrical power market with varying prices. Optimizing bids for each market interval is a complex challenge since the bid size for one market interval affects the battery availability during several subsequent market intervals. In this paper, a renewable generation unit such as Photovoltaic (PV) and a battery storage are considered, with the battery used to shift electricity sales from low-price market intervals to high-price market intervals. The battery can also be used to smooth momentary fluctuations in generated power, cope with differences between actual and forecasted generation, and help to meet the maximum power limit constraint. This paper evaluates how to best manage the battery for optimal bidding in an electrical power market.",

keywords = "artificial intelligence, battery, electricity market, frequency reserve., reinforcement learning",

author = "Rakshith Subramanya and Harri Aaltonen and Seppo Sierla and Valeriy Vyatkin",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; International Symposium on Industrial Electronics, ISIE ; Conference date: 19-06-2023 Through 21-06-2023",

year = "2023",

doi = "10.1109/ISIE51358.2023.10228097",

language = "English",

series = "Proceedings of the IEEE International Symposium on Industrial Electronics",

publisher = "IEEE",

booktitle = "2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings",

address = "United States",

}

Subramanya, R, Aaltonen, H , Sierla, S & Vyatkin, V 2023, Onsite Renewable Generation Time Shifting for Photovoltaic Systems. in 2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings. Proceedings of the IEEE International Symposium on Industrial Electronics, vol. 2023-June, IEEE, International Symposium on Industrial Electronics, Espoo, Finland, 19/06/2023. https://doi.org/10.1109/ISIE51358.2023.10228097

Onsite Renewable Generation Time Shifting for Photovoltaic Systems. / Subramanya, Rakshith; Aaltonen, Harri ; Sierla, Seppo et al.
2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings. IEEE, 2023. (Proceedings of the IEEE International Symposium on Industrial Electronics; Vol. 2023-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Onsite Renewable Generation Time Shifting for Photovoltaic Systems

AU - Subramanya, Rakshith

AU - Aaltonen, Harri

AU - Sierla, Seppo

AU - Vyatkin, Valeriy

N1 - Conference code: 32

PY - 2023

Y1 - 2023

N2 - This paper examines the challenge of bidding a battery system on an electrical power market with varying prices. Optimizing bids for each market interval is a complex challenge since the bid size for one market interval affects the battery availability during several subsequent market intervals. In this paper, a renewable generation unit such as Photovoltaic (PV) and a battery storage are considered, with the battery used to shift electricity sales from low-price market intervals to high-price market intervals. The battery can also be used to smooth momentary fluctuations in generated power, cope with differences between actual and forecasted generation, and help to meet the maximum power limit constraint. This paper evaluates how to best manage the battery for optimal bidding in an electrical power market.

AB - This paper examines the challenge of bidding a battery system on an electrical power market with varying prices. Optimizing bids for each market interval is a complex challenge since the bid size for one market interval affects the battery availability during several subsequent market intervals. In this paper, a renewable generation unit such as Photovoltaic (PV) and a battery storage are considered, with the battery used to shift electricity sales from low-price market intervals to high-price market intervals. The battery can also be used to smooth momentary fluctuations in generated power, cope with differences between actual and forecasted generation, and help to meet the maximum power limit constraint. This paper evaluates how to best manage the battery for optimal bidding in an electrical power market.

KW - artificial intelligence

KW - battery

KW - electricity market

KW - frequency reserve.

KW - reinforcement learning

UR - https://www.scopus.com/pages/publications/85172078197

U2 - 10.1109/ISIE51358.2023.10228097

DO - 10.1109/ISIE51358.2023.10228097

M3 - Conference article in proceedings

AN - SCOPUS:85172078197

T3 - Proceedings of the IEEE International Symposium on Industrial Electronics

BT - 2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings

PB - IEEE

T2 - International Symposium on Industrial Electronics

Y2 - 19 June 2023 through 21 June 2023

ER -

Onsite Renewable Generation Time Shifting for Photovoltaic Systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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