Day-ahead optimal economic dispatch of industrial users based on shared energy storage power station

Dun Nan Liu; Xiao Tong Zhang; De Xin Li; Hong Da Dong; Cheng Gang Li; Zuo Ming Liu

doi:10.1117/12.2639303

19 October 2022 Day-ahead optimal economic dispatch of industrial users based on shared energy storage power station

Dun Nan Liu, Xiao Tong Zhang, De Xin Li, Hong Da Dong, Cheng Gang Li, Zuo Ming Liu

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122940R (2022) https://doi.org/10.1117/12.2639303
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

A day-ahead optimal economic dispatch method for industrial users based on shared energy storage power stations is proposed. Firstly, the concept of sharing energy-storage station is proposed and its business operation mode is analyzed. Then the shared energy storage power station is applied to the economic optimal scheduling of industrial users. By coordinating the power of charging and discharging of each user using the shared energy storage power station, the daily operation cost of the user group is optimized. Finally, it is concluded that the introduction of the sharing energy-storage station can significantly reduce the daily operation cost of the user group, and further study is conducted on the relationship between the income of service fee, the static investment recovery period and the investment return rate and the service fee pricing of the sharing energy-storage station.

Citation Download Citation

Dun Nan Liu, Xiao Tong Zhang, De Xin Li, Hong Da Dong, Cheng Gang Li, and Zuo Ming Liu "Day-ahead optimal economic dispatch of industrial users based on shared energy storage power station", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122940R (19 October 2022); https://doi.org/10.1117/12.2639303

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