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

WU Xiaoming, ZHANG Hui, XU Ran, LI Yao, GAO Ning, WANG Cheng, WU Rundong

Electric Power Construction ›› 2023, Vol. 44 ›› Issue (3) : 15-24.

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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?

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

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Abstract

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

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Xiaoming WU , Hui ZHANG , Ran XU , et al . Life-Cycle Energy Supply Planning of Multi-Energy Industrial Park Considering 5G Base Station[J]. Electric Power Construction. 2023, 44(3): 15-24 https://doi.org/10.12204/j.issn.1000-7229.2023.03.002

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Funding

State Grid Anhui Institute of Economics and Technology Project(B31209210001)
National Natural Science Foundation of China(51807059)
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