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Analysis on Technical and Economic Characteristics of Multi Energy Storage in High Proportion New Energy System and Discussion on Performance Index Management Strategy

In: Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024)

Author

Listed:
  • Zhihua Yang

    (Beijing University of Chinese Medicine Dongfang College, School of Management)

  • Song Li

    (Linyi Vocational College)

  • Jiahao Li

    (Xi’an Shiyou University)

Abstract

With the rapid development of new energy in China, it is expected that the installed capacity of new energy will account for 68% and the power generation will account for 48% in 2050, forming a high proportion of new energy power system. Energy storage has the characteristics of energy time shift, rapid response and flexible layout. It is an important technical means to improve the absorption of new energy and solve the lack of active support capacity of new energy. The application scenarios are very wide, and the management of economic and technical indicators is very important. In this paper, case studies are carried out for typical application scenarios, such as configuration energy storage, independent energy storage, shared energy storage, source network load storage integration and demand side energy storage response. The technical and economic characteristics and performance index management of the energy storage industry are studied from the perspectives of key technologies, investment decisions, income expectations, and optimal allocation. A series of feasible strategies with foresight and operability are put forward to provide theoretical support and practical guidance for the healthy development of energy storage industry.

Suggested Citation

  • Zhihua Yang & Song Li & Jiahao Li, 2025. "Analysis on Technical and Economic Characteristics of Multi Energy Storage in High Proportion New Energy System and Discussion on Performance Index Management Strategy," Advances in Economics, Business and Management Research, in: Lina Zhong & Tang Yao & Chee Yoong Liew & Hongbo Li (ed.), Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024), pages 313-324, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-690-1_30
    DOI: 10.2991/978-94-6463-690-1_30
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