Evaluation Criteria of Comprehensive Value and Realizable Value of Energy Storage System in Multiple Applications Under Multiple Scenarios

Yunhu Wang ； Yifeng Cao ； Tongshui Xia

《International Journal of Social Science and Education Research》 3卷6期 (2020/06) Pp. 31-36

https://doi.org/10.6918/IJOSSER.202006_3(6).0006

摘要

With the promulgation and implementation of relevant policies on energy storage industry in China, energy storage industry, especially electrochemical energy storage, has developed rapidly. Energy storage equipment, as a kind of high-quality flexible resource, plays an important role in power grid frequency modulation, peak regulation and suppression of new energy fluctuation. At present, energy storage technology has been widely used in all aspects of power system and has become the focus of attention. Reasonable use of energy storage system to realize peak cutting and valley filling can effectively relieve the large fluctuation of load curve, reduce the impact on large power grid, delay equipment capacity upgrade and improve equipment utilization rate. Existing research on energy storage planning lacks an evaluation method for the energy storage demand boundary of the system under multiple application scenarios. Based on the system value evaluation method, this paper comprehensively analyzes the value of energy storage in power system, including its comprehensive value and realizable value. According to the synergy among the applications involved in energy storage, the system value characteristics of energy storage are analyzed, and the multiple values of energy storage are comprehensively evaluated and measured.

關鍵字

Energy storage system ； Multiple application scenarios ； Value

參考文獻

Sun Chongbo, Song Yi, Cai Chao, et al. Multi-objective optimization configuration method of distributed energy storage in distribution network considering the needs of multiple scenarios [J]. Electric Power Construction, 2019, 40 (7): 48-56.

Zhang Mingxia, Yan Tao, Lai Xiaokang, et al. Development vision and technical path of energy storage technology under the new functional form of power grid [J]. Power Grid Technology, 2018 (5): 1370-1377.

Zhu Huan, Cheng Liang, Chen Chen, et al. Grid-side energy storage demand assessment method under multiple application scenarios [J]. Electric Power Construction, 2019, 40 (9): 35-42.

Su Xiaolin, Li Dandan, Yan Xiaoxia, et al. Application analysis of energy storage technology in power system [J]. Electric Power Construction, 2016, 37 (8): 24-32.

Yan Chenyu, Fan Yanfang, Yao Bo. Hybrid energy storage smoothing photovoltaic output fluctuation control strategy using adaptive variational mode decomposition [J]. High Voltage Technology, 2019 (6): 1898-1906.