Paper
13 May 2024 Research on operation optimization of rural hybrid renewable energy systems based on Nash bargaining
Xin Zhuang, Qiang Gao, Zhao Xu, Jiaqi Chen, Zhengyang Zhang, Junjie Liu
Author Affiliations +
Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131590W (2024) https://doi.org/10.1117/12.3024659
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
The Rural Hybrid Renewable Energy System (RHRES) holds great significance as a prospective energy system development. Ensuring its economic viability and low-carbon operation is crucial in order to fully harness its potential. Consequently, this research paper presents a multi-party cooperation operation model for RHRES, based on the Nash bargaining theory. To effectively differentiate between the various parties involved in carbon trading and guarantee the system's low-carbon operation, a ladder-type multi-party carbon trading model is formulated. The proposed RHRES cooperation operation model, grounded in Nash bargaining, is approached in two steps: determining the transaction volume between parties and resolving the transaction price through the concept of equivalent transformation. To address concerns regarding party privacy, the alternating direction multiplier method is employed for solution. The numerical findings demonstrate that the suggested cooperation operation model substantially reduces RHRES operating costs and carbon emissions, while enhancing the utilization of wind and solar power. Consequently, this model holds significant practical and promotional value.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xin Zhuang, Qiang Gao, Zhao Xu, Jiaqi Chen, Zhengyang Zhang, and Junjie Liu "Research on operation optimization of rural hybrid renewable energy systems based on Nash bargaining", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131590W (13 May 2024); https://doi.org/10.1117/12.3024659
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KEYWORDS
Carbon

Renewable energy

Solar energy

Lithium

System integration

Systems modeling

Energy efficiency

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