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Analysis of Renewable Energy Absorption and Economic Feasibility in Multi-Energy Complementary Systems under Spot Market Conditions

by Xiuyun Wang, Zipeng Zhang, Chuang Liu*, Guoliang Bian

School of Electrical Engineering, Northeast Electric Power University, Jilin, 132013, China

* Corresponding Author: Chuang Liu. Email: email

Energy Engineering 2025, 122(2), 577-619. https://doi.org/10.32604/ee.2024.056748

Abstract

As the power system transitions to a new green and low-carbon paradigm, the penetration of renewable energy in China’s power system is gradually increasing. However, the variability and uncertainty of renewable energy output limit its profitability in the electricity market and hinder its market-based integration. This paper first constructs a wind-solar-thermal multi-energy complementary system, analyzes its external game relationships, and develops a bi-level market optimization model. Then, it considers the contribution levels of internal participants to establish a comprehensive internal distribution evaluation index system. Finally, simulation studies using the IEEE 30-bus system demonstrate that the multi-energy complementary system stabilizes nodal outputs, enhances the profitability of market participants, and promotes the market-based integration of renewable energy.

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APA Style
Wang, X., Zhang, Z., Liu, C., Bian, G. (2025). Analysis of renewable energy absorption and economic feasibility in multi-energy complementary systems under spot market conditions. Energy Engineering, 122(2), 577–619. https://doi.org/10.32604/ee.2024.056748
Vancouver Style
Wang X, Zhang Z, Liu C, Bian G. Analysis of renewable energy absorption and economic feasibility in multi-energy complementary systems under spot market conditions. Energ Eng. 2025;122(2):577–619. https://doi.org/10.32604/ee.2024.056748
IEEE Style
X. Wang, Z. Zhang, C. Liu, and G. Bian, “Analysis of Renewable Energy Absorption and Economic Feasibility in Multi-Energy Complementary Systems under Spot Market Conditions,” Energ. Eng., vol. 122, no. 2, pp. 577–619, 2025. https://doi.org/10.32604/ee.2024.056748



cc Copyright © 2025 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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