Journal of Shanghai Jiao Tong University ›› 2022, Vol. 56 ›› Issue (3): 279-292.doi: 10.16183/j.cnki.jsjtu.2021.367

Special Issue: 《上海交通大学学报》“新型电力系统与综合能源”专题(2022年1~6月)

• New Type Power System and the Integrated Energy • Previous Articles     Next Articles

Optimization of Active Distribution Network Operation Considering Decarbonization Endowment from 5G Base Stations

ZENG Bo(), MU Hongwei, DONG Houqi, ZENG Ming   

  1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
  • Received:2021-09-23 Online:2022-03-28 Published:2022-04-01


The massive access of 5G base stations (5G BSs) provides new possibilities for the low-carbon development of future power systems. By incentivizing 5G BSs to participate in demand response and incorporating them into the existing active distribution network (ADN) operation framework, the cost of the electricity consumption of 5G BSs can be reduced while promoting the consumption and efficient use of renewable energy sources (RES). This paper proposes a multi-objective interval optimization model for ADN operation considering low-carbon empowerment of 5G BSs. Based on the interaction mode between 5G BSs and the distribution network, a 5G BSs operating flexibility description model is constructed, and the system dynamics method is used to reveal the mechanism of 5G BSs on carbon emission reduction on the distribution side. Taking the minimization of system operating cost and carbon emissions as the goals, and considering the constraints for both the distribution network and the communication network, a multi-objective optimization model for ADN operation with 5G BSs is established. The model cooptimizes the dispatch of RES and 5G equipment, and adopts an interval method to consider the uncertainty of RES output and communication loads, which can achieve simultaneous optimization of system economy and low-carbon benefits. Combining the equivalent transformation and the non-dominated sorting genetic algorithm to solve the problem, the results of numerical studies prove the effectiveness of the proposed method.

Key words: 5G base station (5G BS), active distribution network, carbon emission reduction, interaction, multi-objective interval optimization

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