Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)

Bid Determination Method for an Electricity Market with State-of-Charge Maintenance of a Compressed Air Energy Storage System Using the Prediction Interval of Wind Power Output

Authors
Aki Kikuchi, Masakazu Ito, Yasuhiro Hayashi
Corresponding Author
Aki Kikuchi
Available Online November 2019.
Keywords
bid determination, electricity market, energy storage system, prediction interval, wind power
Abstract

The use of power from wind power plants (WPPs) has increased in recent years, and the power from WPPs can be traded in electricity markets. Operators of WPPs need to determine bid volume before the power is supplied to the electricity market. The bid volume can be determined based on the power forecast data; however, uncertainty in the power can lead to imbalance between the bid volume and the actual output from WPPs. Using an energy storage system (ESS) is an effective solution, but the state-of-charge (SOC) should be maintained at an appropriate value to effectively use the ESS. Bids often include the energy required for SOC maintenance. However, imbalance can occur if the energy equals the ESS rated power under uncertainty because the ESS cannot use more power than the rated power. Therefore, the control of the energy required for SOC maintenance should be discussed. In this paper, we propose a bid determination method using a prediction interval to reduce imbalance by controlling the energy required for SOC maintenance. Wind farms with a compressed air energy storage system are considered, and numerical simulations are performed. As a result, our proposed method with the prediction interval can reduce the degree of imbalance in comparison with methods without the prediction interval.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)
Series
Atlantis Highlights in Engineering
Publication Date
November 2019
ISBN
null
ISSN
2589-4943
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Aki Kikuchi
AU  - Masakazu Ito
AU  - Yasuhiro Hayashi
PY  - 2019/11
DA  - 2019/11
TI  - Bid Determination Method for an Electricity Market with State-of-Charge Maintenance of a Compressed Air Energy Storage System Using the Prediction Interval of Wind Power Output
BT  - Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)
PB  - Atlantis Press
SP  - 176
EP  - 182
SN  - 2589-4943
UR  - https://www.atlantis-press.com/article/125923331
ID  - Kikuchi2019/11
ER  -