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

doi:10.16183/j.cnki.jsjtu.2021.367

Abstract

Abstract:

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

CLC Number:

TM732

ZENG Bo, MU Hongwei, DONG Houqi, ZENG Ming. Optimization of Active Distribution Network Operation Considering Decarbonization Endowment from 5G Base Stations[J]. Journal of Shanghai Jiao Tong University, 2022, 56(3): 279-292.

Figures/Tables 15

Fig.1

Fig.2

Tab.1

Problem scale of proposed optimization model

变量/约束条件	个数
$P i, t BS, P i, j, t TR, P i, j, t out, N i, t TR, r i, j, t tr, P i, t dg, α i, j, t, P t grid, P i, t ch, P i, t dis$	Ω^BSΩ^T,(Ω^BSΩ^T $N i, t TR$ )²,Ω^BSΩ^T $N i, t TR$ ,Ω^BSΩ^T,Ω^BSΩ^T $N i, t TR$ ,Ω^DGΩ^T,Ω^BSΩ^T $N i, t TR$ ,Ω^T,Ω^BSΩ^T,Ω^BSΩ^T
式(4)~(7),式(10)~(23)	Ω^BSΩ^T+Ω^BSΩ^T $N i, t TR$ +Ω^T+Ω^BSΩ^T+Ω^T+Ω^BSΩ^T+Ω^BSΩ^T+Ω^BSΩ^T+Ω^BSΩ^T+Ω^BSΩ^T+Ω^BSΩ^T+ Ω^WDΩ^T+Ω^WDΩ^T+Ω^JΩ^T+Ω^JΩ^T+Ω^JΩ^T+Ω^JΩ^T+Ω^JΩ^T+Ω^FΩ^T+Ω^FΩ^T+Ω^T

Tab.1

Fig.3

Fig.4

Tab.2

Fig.5

Fig.6

Tab.3

Fig.7

Fig.8

Fig.9

Fig.10

Fig.11

Fig.12

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参数	取值
收发器个数	6
可用带宽数/MHz	20
基站最大传输功率/W	39.8
斜率Δp_i	2.6
电源和冷却系统功耗/W	16.7
固定信令信号所占发射功率的比例	0.2

指标	运行经济成本/元	主网购电费用/元	风电消纳量/ (kW·h)	碳排放量/t
基站未参与灵活调度	76194.56	62496.89	17122.09	133.58
基站参与灵活调度	81975.65	54662.88	25550.06	116.83
改善率/%	-	12.54	49.22	12.54