A Mid-and-Long-Term Flexible Trading Method Considering Uncertainties of Renewable Energy Based on Capacity-Credit Curves

Xiaoqiang Sun; Yuankang He; Bo Yuan; Yan Li; Jiawei Sun; Tao Ding; Yuhan Huang; Hongji Zhang

doi:10.1007/978-981-97-7047-2_21

A Mid-and-Long-Term Flexible Trading Method Considering Uncertainties of Renewable Energy Based on Capacity-Credit Curves

Xiaoqiang Sun
, Yuankang He
, Bo Yuan
, Yan Li
, Jiawei Sun
, Tao Ding
, Yuhan Huang
, Hongji Zhang

School of Electrical Engineering

State Grid Corporation of China
Xi'an Jiaotong University

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

Abstract

The current trading methods for mid-and-long-term transactions are insufficient to meet energy demands and limit trading opportunities as renewable energy resources integrate into the power grid. This study proposes a new approach to flexible trading for mid-and-long-term energy transactions, which effectively addresses the inherent uncertainty issues associated with renewable energy sources. A case study conducted in Shandong province, China validates the mode, revealing substantial improvements in both the volume of renewable energy transacted and suppliers’ profitability while preserving the original adequacy through the utilization of capacity-credit curves. Furthermore, the proposed method is particularly suitable for aggregated resource transactions due to the complementary nature of diverse renewable energy resources.

Original language	English
Title of host publication	Proceedings of the 4th International Symposium on New Energy and Electrical Technology
Editors	Fushuan Wen, Ishak Bin Aris
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	196-201
Number of pages	6
ISBN (Print)	9789819770465
DOIs	https://doi.org/10.1007/978-981-97-7047-2_21
State	Published - 2024
Event	4th International Symposium on New Energy and Electrical Technology, ISNEET 2023 - Hangzhou, China Duration: 20 Oct 2023 → 22 Oct 2023

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1255 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	4th International Symposium on New Energy and Electrical Technology, ISNEET 2023
Country/Territory	China
City	Hangzhou
Period	20/10/23 → 22/10/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Capacity-Credit Curves
Flexible Trading Method
Mid-and-long-term Energy Transactions
Renewable Energy

Access to Document

10.1007/978-981-97-7047-2_21

Cite this

Sun, X., He, Y., Yuan, B., Li, Y., Sun, J., Ding, T., Huang, Y., & Zhang, H. (2024). A Mid-and-Long-Term Flexible Trading Method Considering Uncertainties of Renewable Energy Based on Capacity-Credit Curves. In F. Wen, & I. B. Aris (Eds.), Proceedings of the 4th International Symposium on New Energy and Electrical Technology (pp. 196-201). (Lecture Notes in Electrical Engineering; Vol. 1255 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-7047-2_21

Sun, Xiaoqiang ; He, Yuankang ; Yuan, Bo et al. / A Mid-and-Long-Term Flexible Trading Method Considering Uncertainties of Renewable Energy Based on Capacity-Credit Curves. Proceedings of the 4th International Symposium on New Energy and Electrical Technology. editor / Fushuan Wen ; Ishak Bin Aris. Springer Science and Business Media Deutschland GmbH, 2024. pp. 196-201 (Lecture Notes in Electrical Engineering).

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title = "A Mid-and-Long-Term Flexible Trading Method Considering Uncertainties of Renewable Energy Based on Capacity-Credit Curves",

abstract = "The current trading methods for mid-and-long-term transactions are insufficient to meet energy demands and limit trading opportunities as renewable energy resources integrate into the power grid. This study proposes a new approach to flexible trading for mid-and-long-term energy transactions, which effectively addresses the inherent uncertainty issues associated with renewable energy sources. A case study conducted in Shandong province, China validates the mode, revealing substantial improvements in both the volume of renewable energy transacted and suppliers{\textquoteright} profitability while preserving the original adequacy through the utilization of capacity-credit curves. Furthermore, the proposed method is particularly suitable for aggregated resource transactions due to the complementary nature of diverse renewable energy resources.",

keywords = "Capacity-Credit Curves, Flexible Trading Method, Mid-and-long-term Energy Transactions, Renewable Energy",

author = "Xiaoqiang Sun and Yuankang He and Bo Yuan and Yan Li and Jiawei Sun and Tao Ding and Yuhan Huang and Hongji Zhang",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 4th International Symposium on New Energy and Electrical Technology, ISNEET 2023 ; Conference date: 20-10-2023 Through 22-10-2023",

year = "2024",

doi = "10.1007/978-981-97-7047-2\_21",

language = "英语",

isbn = "9789819770465",

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Sun, X, He, Y, Yuan, B, Li, Y, Sun, J, Ding, T, Huang, Y & Zhang, H 2024, A Mid-and-Long-Term Flexible Trading Method Considering Uncertainties of Renewable Energy Based on Capacity-Credit Curves. in F Wen & IB Aris (eds), Proceedings of the 4th International Symposium on New Energy and Electrical Technology. Lecture Notes in Electrical Engineering, vol. 1255 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 196-201, 4th International Symposium on New Energy and Electrical Technology, ISNEET 2023, Hangzhou, China, 20/10/23. https://doi.org/10.1007/978-981-97-7047-2_21

A Mid-and-Long-Term Flexible Trading Method Considering Uncertainties of Renewable Energy Based on Capacity-Credit Curves. / Sun, Xiaoqiang; He, Yuankang; Yuan, Bo et al.
Proceedings of the 4th International Symposium on New Energy and Electrical Technology. ed. / Fushuan Wen; Ishak Bin Aris. Springer Science and Business Media Deutschland GmbH, 2024. p. 196-201 (Lecture Notes in Electrical Engineering; Vol. 1255 LNEE).

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

TY - GEN

T1 - A Mid-and-Long-Term Flexible Trading Method Considering Uncertainties of Renewable Energy Based on Capacity-Credit Curves

AU - Sun, Xiaoqiang

AU - He, Yuankang

AU - Yuan, Bo

AU - Li, Yan

AU - Sun, Jiawei

AU - Ding, Tao

AU - Huang, Yuhan

AU - Zhang, Hongji

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

PY - 2024

Y1 - 2024

N2 - The current trading methods for mid-and-long-term transactions are insufficient to meet energy demands and limit trading opportunities as renewable energy resources integrate into the power grid. This study proposes a new approach to flexible trading for mid-and-long-term energy transactions, which effectively addresses the inherent uncertainty issues associated with renewable energy sources. A case study conducted in Shandong province, China validates the mode, revealing substantial improvements in both the volume of renewable energy transacted and suppliers’ profitability while preserving the original adequacy through the utilization of capacity-credit curves. Furthermore, the proposed method is particularly suitable for aggregated resource transactions due to the complementary nature of diverse renewable energy resources.

AB - The current trading methods for mid-and-long-term transactions are insufficient to meet energy demands and limit trading opportunities as renewable energy resources integrate into the power grid. This study proposes a new approach to flexible trading for mid-and-long-term energy transactions, which effectively addresses the inherent uncertainty issues associated with renewable energy sources. A case study conducted in Shandong province, China validates the mode, revealing substantial improvements in both the volume of renewable energy transacted and suppliers’ profitability while preserving the original adequacy through the utilization of capacity-credit curves. Furthermore, the proposed method is particularly suitable for aggregated resource transactions due to the complementary nature of diverse renewable energy resources.

KW - Capacity-Credit Curves

KW - Flexible Trading Method

KW - Mid-and-long-term Energy Transactions

KW - Renewable Energy

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BT - Proceedings of the 4th International Symposium on New Energy and Electrical Technology

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T2 - 4th International Symposium on New Energy and Electrical Technology, ISNEET 2023

Y2 - 20 October 2023 through 22 October 2023

ER -

Sun X, He Y, Yuan B, Li Y, Sun J, Ding T et al. A Mid-and-Long-Term Flexible Trading Method Considering Uncertainties of Renewable Energy Based on Capacity-Credit Curves. In Wen F, Aris IB, editors, Proceedings of the 4th International Symposium on New Energy and Electrical Technology. Springer Science and Business Media Deutschland GmbH. 2024. p. 196-201. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-97-7047-2_21

A Mid-and-Long-Term Flexible Trading Method Considering Uncertainties of Renewable Energy Based on Capacity-Credit Curves

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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