Dual-layer Optimal Operation Model for Solar-thermal and Biomass Integrated Hydrogen Production Plant in Market Environment
Basic Research|更新时间:2025-09-25
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Dual-layer Optimal Operation Model for Solar-thermal and Biomass Integrated Hydrogen Production Plant in Market Environment
Automation of Electric Power SystemsVol. 49, Issue 16, Pages: 43-51(2025)
作者机构:
1.新能源微电网湖北省协同创新中心(三峡大学),湖北省宜昌市 443002
2.三峡大学电气与新能源学院,湖北省宜昌市 443002
3.中国长江电力股份有限公司,湖北省宜昌市 443002
作者简介:
基金信息:
National Natural Science Foundation of China(52307109);Hubei Provincial Natural Science Foundation Innovation and Development Joint Fund Project(2024AFD350)
TAN Hong,ZHU Jianchuan,GUAN Sumin,et al.Dual-layer Optimal Operation Model for Solar-thermal and Biomass Integrated Hydrogen Production Plant in Market Environment[J].Automation of Electric Power Systems,2025,49(16):43-51.
TAN Hong,ZHU Jianchuan,GUAN Sumin,et al.Dual-layer Optimal Operation Model for Solar-thermal and Biomass Integrated Hydrogen Production Plant in Market Environment[J].Automation of Electric Power Systems,2025,49(16):43-51. DOI: 10.7500/AEPS20241211003.
Dual-layer Optimal Operation Model for Solar-thermal and Biomass Integrated Hydrogen Production Plant in Market Environment
To enhance the power generation capacity of solar-thermal power generation systems and promote the development of renewable energy sources such as biomass energy and hydrogen energy
the operation framework of the solar-thermal and biomass integrated hydrogen production plant (STBIHPP) is proposed. On this basis
a dual-layer optimal operation model for STBIHPP in market environment is proposed. Firstly
based on the energy complementarity characteristics between the parabolic trough solar-thermal power generation system and biomass gasification power generation for hydrogen production
an integrated hydrogen production plant model driven by solar-thermal and biomass is established. Secondly
in order to optimize the operation strategy of STBIHPP
a dual-layer optimal operation model for STBIHPP in the electricity-hydrogen integrated market environment is proposed. Finally
the Karush-Kuhn-Tucker (KKT) condition is used to transform the dual-layer model into a single-layer model
and then methods such as piecewise McCormick approximation are adopted to transform the single-layer model into the mixed-integer second-order cone programming (MISOCP) model. The simulation results show that the proposed framework can effectively enhance the energy coupling between various systems and improve the energy utilization rate. At the same time
the revenues of renewable energy hydrogen production plants in both markets are significantly increased.
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