封 钰, 俞永杰, 史雪晨, et al. Multi-entities trading mechanism design based on shared energy storage in multi-station integration scenario[J]. 2023, 25(4).
DOI:
封 钰, 俞永杰, 史雪晨, et al. Multi-entities trading mechanism design based on shared energy storage in multi-station integration scenario[J]. 2023, 25(4). DOI: 10.3969/j.issn.1009-1831.2023.04.004.
Multi-entities trading mechanism design based on shared energy storage in multi-station integration scenario
In the multi-station integration scenario of five stations in one of“new energy station- electric vehicle charging station- 5G station- data center- substation”
making full use of the backup energy storage capacity of 5G base station and data center is an important way to improve the economy of multi-station integration. A multi-time scale trading mechanism for sharing the backup energy storage capacity of 5G base stations and data center under the multi-station integration mode is proposed. Firstly
5G base station and data center call energy storage capacity model based on the“energy storage spare time”is set up
and then the shared energy storage problem is transformed into electricity trade problem to established the internal power price trading model
which can dynamically adjust the power price
make more station system internal trading more economical according to the internal power trading demand. Then
a multi-time scale trading mechanism of pre-day declaration- day adjustment is established. In the day- daytrade
the electricity trade are cleared through the internal electricity price trading model
and a compensation scheme based on the deviation of the contact line is established in the intra-day trading.Finally
the validity of the proposed trading mechanism is verified by example.
Applications of multi⁃voltage grade DC power supply in modular data centers
Research on energy scheduling optimization for data center based on improved NSGA-II algorithm
Study on the optimal operation strategy of PV and energy storage system for smart base stations considering participation in peak regulation auxiliary services
Numerical simulation of thermal environment and optimal design of airflow uniformity in data center
Blockage control model of urban medium voltage distribution network considering communication base station demand response