• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2023, Vol. 44 ›› Issue (3): 15-24.doi: 10.12204/j.issn.1000-7229.2023.03.002

• Integrated Multiple Energy and Information Technologies in Enabling Planning and Operation of Energy Internet?Hosted by Associate Professor LIU Yang and Dr. HAN Fujia? • Previous Articles     Next Articles

Life-Cycle Energy Supply Planning of Multi-Energy Industrial Park Considering 5G Base Station

WU Xiaoming1(), ZHANG Hui1(), XU Ran1(), LI Yao2(), GAO Ning2(), WANG Cheng2(), WU Rundong3()   

  1. 1. Economic and Technological Research Institute of State Grid Anhui Electric Power Co., Ltd., Hefei 230022, China
    2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University), Beijing 102206, China
    3. State Grid Anhui Electric Power Co., Ltd., Hefei 230022, China
  • Received:2022-05-12 Online:2023-03-01 Published:2023-03-02
  • Supported by:
    State Grid Anhui Institute of Economics and Technology Project(B31209210001);National Natural Science Foundation of China(51807059)


In order to reduce the power supply cost of the multi-energy industrial park with 5G base stations, this paper proposes a life-cycle energy supply system planning method for the multi-energy industrial park. Firstly, the multi-energy load model of 5G base station is established and the coupling characteristics of multi-energy flows in the park are described. Then, taking the lowest life cycle costs as the objective function, the planning model of the industrial park is constructed. Further, considering the uncertainty of distributed photovoltaic power generation and multi-energy loads in the park, and applying the chance constraints to describe the influence of uncertainty on the planning scheme, the robustness of the planning scheme is improved. The simulation examples shows that the annual energy cost of the park is reduced by 0.52 % and the annual planning investment cost is reduced by 7.6 % through multi-energy complementarity in the park, which verifies the effectiveness of the proposed method. In addition, the robustness and economy of the planning scheme can be effectively balanced by adjusting the over-limit probability parameters of chance constraints in the model.

Key words: 5G base station, multi-energy industrial park, chance-constrained programming, life cycle cost

CLC Number: