Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

Research Article

Renewable Energy Quota Consumption Portfolio Strategy for Electricity

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  • @INPROCEEDINGS{10.4108/eai.19-5-2023.2334383,
        author={Zhixuan  Pan and Minli  Huang and Shiqi  Wu and Yangming  Xiao},
        title={Renewable Energy Quota Consumption Portfolio Strategy for Electricity},
        proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China},
        publisher={EAI},
        proceedings_a={ICBBEM},
        year={2023},
        month={7},
        keywords={renewable energy consumption targets electricity consumers marketing mix},
        doi={10.4108/eai.19-5-2023.2334383}
    }
    
  • Zhixuan Pan
    Minli Huang
    Shiqi Wu
    Yangming Xiao
    Year: 2023
    Renewable Energy Quota Consumption Portfolio Strategy for Electricity
    ICBBEM
    EAI
    DOI: 10.4108/eai.19-5-2023.2334383
Zhixuan Pan1, Minli Huang1, Shiqi Wu2,*, Yangming Xiao2
  • 1: Shanghai Investigation, Design & Research Institute Co., Ltd
  • 2: North China Electric Power University
*Contact email: 987734938@qq.com

Abstract

Renewable energy will be the foundation for the development of a new electricity system in the future. However, current renewable energy generation is still subject to numerous technical and climatic conditions and is highly volatile. The trading and consumption of electricity by consumers will change significantly in this context. In this paper, we examine the main methods of responsibility weighting consumption of renewable energy power in China through the study of renewable energy consumption portfolio strategy for power users; secondly, we establish the economic model of responsibility weighting consumption of renewable energy power for power users, establish user power trading model according to linear programming principle and use MATLAB for calculation, use linprog function and combine data with the actual situation to propose marketing mix strategy, for the user electricity consumption behavior of the auxiliary decision support; finally propose the combination strategy of renewable energy electricity responsibility weighted consumption of power users, to a high energy-consuming enterprises as an example, the analysis of its and concluded to propose marketing mix strategy, so as to conclude that the customer more economical and more convenient to complete the task of renewable energy indicators consumption.