Collaborative Optimization Scheduling Method for Active Distribution Networks Considering Dispatchable Backup Batteries of 5G Base Station and Soft Open Point

doi:10.16183/j.cnki.jsjtu.2024.020

Abstract

Abstract:

As the proportion of distributed generation, mainly wind turbine generation and photovoltaic, in terminal energy consumption increases, it is of great significance to fully utilize the flexibility resources within power grids and enhance the regulation capability of active distribution networks (ADN). To this end, an ADN collaborative optimization scheduling method is proposed considering dispatchable backup battery of 5G base station (BS) and soft open point. First, an analysis of the power consumption model of 5G BS is conducted, leading to the establishment of a backup battery capacity evaluation model which considers the communication load of 5G BS and the reliability of ADN nodes. Based on this and taking the minimization of the comprehensive operating cost of ADN as the objective function, considering the uncertainty of wind power, photovoltaic output, and load demand, an ADN collaborative optimal scheduling model based on chance constraints is developed. A second-order cone relaxation and a chance-constrained determinization approach based on Latin hypercube sampling are employed to enhance the solution efficiency of the model, which transforms the model into a mixed-integer second-order cone programming problem. Finally, the feasibility and effectiveness of the proposed method are verified by the IEEE 33-bus ADN case.

Key words: active distribution network (ADN), 5G base station backup battery, flexible resource, soft open point, chance constraint

CLC Number:

TM732

GAO Chong, DUAN Yao, CHENG Ran, CHEN Peidong, ZHOU Shucan, ZHANG Shenxi, CHEN Weilin, LIU Zhiwen. Collaborative Optimization Scheduling Method for Active Distribution Networks Considering Dispatchable Backup Batteries of 5G Base Station and Soft Open Point[J]. Journal of Shanghai Jiao Tong University, 2025, 59(11): 1603-1617.

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设备	参数	数值
储能电池	最大充放电功率/kW	6
	充放电效率	0.95
	储能电池额定容量/(kW·h)	30
	基站储能初始容量/(kW·h)	15
通信设备	AAU功率放大器最大功耗/(kW·h)	1.2
	AAU射频单元最大功耗/(kW·h)	1.7
	BBU功耗/(kW·h)	0.5
	传输设备功耗/(kW·h)	0.5
供电电源	额定功率/ kW	10

场景	OLTC	DG功率调节	网络重构	SOP	5G基站可调度备用储能
1	√	√	√	×	×
2	√	√	√	√	×
3	√	√	√	×	√
4	√	√	√	√	√

场景	系统购电费用/元	弃风惩罚费用/元	弃光惩罚费用/元	TNO储能收益/元	ADN综合运行费用/元
1	68032.84	1571.44	1352.45	0	70956.73
2	64858.01	776.34	680.14	0	66314.49
3	61053.27	244.89	165.16	1416.73	62880.05
4	59458.04	0	0	2020.95	61478.99

置信水平/%	系统购电费用/元	弃风惩罚费用/元	弃光惩罚费用/元	TNO储能收益/元	ADN综合运行费用/元
100	61828.03	137.75	123.87	1516.73	63606.38
97.5	60861.24	106.56	89.72	1616.73	62674.25
95	59458.04	0	0	2020.95	61478.99
92.5	58649.41	0	0	2054.49	60703.90
90	57797.23	0	0	2054.49	59851.72