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

doi:10.12204/j.issn.1000-7229.2023.03.002

Abstract

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

CLC Number:

TM715

WU Xiaoming, ZHANG Hui, XU Ran, LI Yao, GAO Ning, WANG Cheng, WU Rundong. Life-Cycle Energy Supply Planning of Multi-Energy Industrial Park Considering 5G Base Station[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(3): 15-24.

Figures/Tables 14

Fig.1 Schematic diagram of the integrated energy system considering 5G base station

Fig.2 Power grid with 53 nodes

Fig.3 Gas network with 17 nodes

Fig.4 Heat network with 15 nodes

Table 1 Time-of-use electricity price of the industrial park

Fig.5 Typical daily load curve of 5G base station

Table 2 Parameters of devices to be selected in the industrial park planning

Table 3 Planning results of power supply lines under different cases

Table 4 Planning results of energy storage under different cases

Table 5 Planning results of refrigeration equipment under different cases

Table 6

Table 7

Table 8 The impact of confidence level on operating costs

Fig.6 Probability of energy-supply constraint over-limit under different sample sets

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