考虑5G基站可调度潜力的配电网分布式光伏最大准入容量评估

doi:10.11930/j.issn.1004-9649.202309018

中国电力 ›› 2023, Vol. 56 ›› Issue (12): 80-85, 99.DOI: 10.11930/j.issn.1004-9649.202309018

• 分布式智能电网的规划、运行和电力交易 • 上一篇下一篇

考虑5G基站可调度潜力的配电网分布式光伏最大准入容量评估

段瑶¹(), 高崇¹(), 程苒¹, 吴亚雄¹, 黄烨¹, 刘志文²()

1. 广东电网有限责任公司电网规划研究中心，广东广州　510080
2. 南方电网能源发展研究院有限责任公司，广东广州　510670

收稿日期:2023-09-05 录用日期:2023-12-04 发布日期:2023-12-23 出版日期:2023-12-28
作者简介:段瑶（1986—），女，博士，高级工程师，从事电力系统规划、分析研究，E-mail： YaoDuan2023@163.com
高崇（1983—），男，硕士，高级工程师，从事电力系统规划评价指标研究，E-mail： 25903257@qq.com
刘志文（1981—），男，通信作者，博士，高级工程师（教授级），从事新能源并网与配电网规划研究，E-mail： liuzw32347@163.com
基金资助:
国家自然科学基金资助项目（U22B20114）；中国南方电网有限责任公司科技项目（GDKJXM20220273）。

Evaluation of Distributed Photovoltaic Maximum Hosting Capacity for Distribution Network Considering Dispatchable Potential of 5G Base Station

Yao DUAN¹(), Chong GAO¹(), Ran CHENG¹, Yaxiong WU¹, Ye HUANG¹, Zhiwen LIU²()

1. Grid Planning and Research Center, Guangdong Power Grid Company, Guangzhou 510080, China
2. Energy Development Research Institute, China Southern Power Grid, Guangzhou 510670, China

Received:2023-09-05 Accepted:2023-12-04 Online:2023-12-23 Published:2023-12-28
Supported by:
This work is supported by National Natural Science Foundation of China (No.U22B20114), Science and Technology Project of China Southern Power Grid Corporation (No.GDKJXM20220273).

摘要/Abstract

摘要：

提出了考虑5G基站可调度潜力的配电网分布式光伏最大准入容量评估方法。首先，构建5G基站用电负荷需求模型，并分析5G基站自备储能可调度潜力；其次，建立考虑5G基站可调度潜力的配电网分布式光伏最大准入容量评估模型；然后，引入辅助变量并对模型进行二阶锥松弛，构建分布式光伏最大准入容量评估线性化模型；最后，采用改进后的IEEE 33节点配电网对不同场景下的配电网分布式光伏最大准入容量进行评估。算例分析结果表明：考虑5G基站可调度潜力可以有效提升配电网分布式光伏最大准入容量。

关键词: 5G基站, 配电网, 分布式光伏, 最大准入容量

Abstract:

A method for evaluate the maximum hosting capacity of distributed photovoltaic for distribution network considering the schedulable potential of 5G base station is proposed. Firstly, construct a power load demand model for 5G base station and analyze the schedulable potential of 5G base station's own energy storage; Then, establish the distributed photovoltaic maximum hosting capacity evaluation model of distribution network considering the dispatchable potential of 5G base station; Subsequently, auxiliary variables are introduced and the model is subjected to second-order cone relaxation to construct a linearized model for distributed PV maximum hosting capacity assessment. Finally, the improved IEEE 33 bus distribution network is used to evaluate the distributed PV maximum hosting capacity of distribution network under different scenarios. The results show that considering the dispatchable potential of 5G base station can effectively improve the maximum hosting capacity of distributed new energy in distribution network.

Key words: 5G base stations, distribution network, distributed photovoltaic, maximum hosting capacity

段瑶, 高崇, 程苒, 吴亚雄, 黄烨, 刘志文. 考虑5G基站可调度潜力的配电网分布式光伏最大准入容量评估[J]. 中国电力, 2023, 56(12): 80-85, 99.

Yao DUAN, Chong GAO, Ran CHENG, Yaxiong WU, Ye HUANG, Zhiwen LIU. Evaluation of Distributed Photovoltaic Maximum Hosting Capacity for Distribution Network Considering Dispatchable Potential of 5G Base Station[J]. Electric Power, 2023, 56(12): 80-85, 99.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202309018

https://www.electricpower.com.cn/CN/Y2023/V56/I12/80

图/表 6

图 1 改进后的IEEE 33节点配电网

Fig.1 Improved IEEE 33-bus distribution network

图 2 分布式光伏与负荷功率系数日变化趋势

Fig.2 Diurnal variation trend of distributed PV output and load demand coefficients

图 3 5G基站实时用电负荷

Fig.3 Real time power load of 5G base station

图 4 5G基站自备储能的实时可调度潜力

Fig.4 Real time schedulable potential of energy storage in 5G base stations

表 1 分布式光伏最大准入容量

Table 1 Maximum hosting capacity of distribution photovoltaic

场景	分布式光伏最大准入容量/MW	分布式光伏最大能量渗透率/%
1	3.752	36.3
2	4.362	42.9

图 5 场景2各区域5G基站自备储能实时出力情况

Fig.5 Real-time out of 5G base station self-storage in each region of scenario 2

参考文献 25

1	李世辉, 王琪, 贾晓卜, 等. 考虑热泵负荷和分布式光伏的配微网协调调度[J]. 中国电力, 2022, 55 (9): 29- 37.
	LI Shihui, WANG Qi, JIA Xiaobo, et al. Coordinated scheduling of distribution networks and microgrids considering heat pump load and distributed photovoltaic[J]. Electric Power, 2022, 55 (9): 29- 37.
2	王鹤, 王钲淇, 韩皓, 等. 使用蒙特卡罗逐时估算模型的住宅配电网光伏准入容量研究[J]. 东北电力大学学报, 2023, 43 (1): 9- 19, 2, 99.
	WANG He, WANG Zhengqi, HAN Hao, et al. Research on photovoltaic hosting capacity of residential distribution network based on Monte Carlo hourly estimation framework[J]. Journal of Northeast Electric Power University, 2023, 43 (1): 9- 19, 2, 99.
3	卓振宇, 张宁, 谢小荣, 等. 高比例可再生能源电力系统关键技术及发展挑战[J]. 电力系统自动化, 2021, 45 (9): 171- 191.
	ZHUO Zhenyu, ZHANG Ning, XIE Xiaorong, et al. Key technologies and developing challenges of power system with high proportion of renewable energy[J]. Automation of Electric Power Systems, 2021, 45 (9): 171- 191.
4	丁琦欣, 覃洪培, 万灿, 等. 基于机会约束规划的配电网分布式光伏承载能力评估[J]. 东北电力大学学报, 2022, 42 (6): 28- 38.
	DING Qixin, QIN Hongpei, WAN Can, et al. Chance-constrained optimization-based distributed photovoltaic hosting capacity assessment of distribution networks[J]. Journal of Northeast Electric Power University, 2022, 42 (6): 28- 38.
5	陈卫, 杨波, 张兆云, 等. 计及电动汽车充电站接入的配电网承载能力评估与优化[J]. 电工技术学报, 2014, 29 (8): 27- 35, 45.
	CHEN Wei, YANG Bo, ZHANG Zhaoyun, et al. Distribution networks supportability evaluation and optimization considering electric vehicles charging stations[J]. Transactions of China Electrotechnical Society, 2014, 29 (8): 27- 35, 45.
6	王丹阳, 张沈习, 程浩忠, 等. 考虑数据中心用能时空可调的电-气互联综合能源系统分布式光伏最大准入容量计算[J]. 电力系统及其自动化学报, 2023, 35 (2): 121- 131.
	WANG Danyang, ZHANG Shenxi, CHENG Haozhong, et al. Calculation of maximum allowable access capacity of distributed photovoltaic in electricity-gas integrated energy system considering spatio-temporal adjustability of energy consumption by data centers[J]. Proceedings of the CSU-EPSA, 2023, 35 (2): 121- 131.
7	魏欣荣, 吴俊勇, 丁然, 等. 基于光伏重心理论的配电网分布式光伏最大准入容量计算[J]. 电网技术, 2023, 47 (11): 4533- 4549.
	WEI Xinrong, WU Junyong, DING Ran, et al. Calculation of maximum allowable access capacity of distributed photovoltaic in electricity-gas integrated energy system considering spatio-temporal adjustability of energy consumption by data centers[J]. Distributed PV hosting capacity calculation of distribution network based on PV barycenter theory, 2023, 47 (11): 4533- 4549.
8	孙玲玲, 赵美超, 王宁, 等. 基于电压偏差机会约束的分布式光伏发电准入容量研究[J]. 电工技术学报, 2018, 33 (7): 1560- 1569.
	SUN Lingling, ZHAO Meichao, WANG Ning, et al. Research of permitted capacity of distributed photovoltaic generation based on voltage deviation chance constrained[J]. Transactions of China Electrotechnical Society, 2018, 33 (7): 1560- 1569.
9	叶斌, 朱泽安, 马静, 等. 基于灵活网架的分布式光伏电源准入容量研究[J]. 电测与仪表, 2019, 56 (11): 1- 7.
	YE Bin, ZHU Zean, MA Jing, et al. Research on permitted penetration capacity of distributed PV generation based on flexible network structure[J]. Electrical Measurement & Instrumentation, 2019, 56 (11): 1- 7.
10	陆立民, 褚国伟, 张涛, 等. 基于改进多目标粒子群算法的微电网储能优化配置[J]. 电力系统保护与控制, 2020, 48 (15): 116- 124.
	LU Limin, CHU Guowei, ZHANG Tao, et al. Optimal configuration of energy storage in a microgrid based on improved multi-objective particle swarm optimization[J]. Power System Protection and Control, 2020, 48 (15): 116- 124.
11	刘健辰, 刘山林. 基于二阶锥松弛和Big-M法的配电网分布式电源优化配置[J]. 电网技术, 2018, 42 (8): 2604- 2611.
	LIU Jianchen, LIU Shanlin. Optimal allocation of distributed power sources in distribution network based on second-order cone relaxation and Big-M method[J]. Power System Technology, 2018, 42 (8): 2604- 2611.
12	TORBAGHAN S S, SURYANARAYANA G, HÖSCHLE H, et al. Optimal flexibility dispatch problem using second-order cone relaxation of AC power flows[J]. IEEE Transactions on Power Systems, 2019, 35 (1): 98- 108.
13	COFFRIN C, HIJAZI H L, VAN HENTENRYCK P. The QC relaxation: a theoretical and computational study on optimal power flow[J]. IEEE Transactions on Power Systems, 2016, 31 (4): 3008- 3018. DOI
14	金尚婷, 吴杰康, 覃炜梅, 等. 考虑风电消纳的配电网多目标无功协同优化[J]. 广东电力, 2019, 32 (1): 52- 59.
	JIN Shangting, WU Jiekang, QIN Weimei, et al. Multi-objective collaborative reactive power optimization for distribution network considering wind power accommodation[J]. Guangdong Electric Power, 2019, 32 (1): 52- 59.
15	王晓港. 提高光伏消纳能力的配电网联络开关优化配置[J]. 电力系统及其自动化学报, 2018, 30 (9): 134- 140.
	WANG Xiaogang. Optimum configuration of distribution network interconnection switch for improving photovoltaic penetration rate considering partition and segment[J]. Proceedings of the CSU-EPSA, 2018, 30 (9): 134- 140.
16	王文宾, 朱燕舞, 韩天华, 等. 基于随机规划的分布式光伏并网最大准入容量计算[J]. 燕山大学学报, 2018, 42 (6): 510- 518. DOI
	WANG Wenbin, ZHU Yanwu, HAN Tianhua, et al. Maximum access capacity calculation of distributed PV grid connected based on stochastic programming[J]. Journal of Yanshan University, 2018, 42 (6): 510- 518. DOI
17	姜云鹏, 任洲洋, 李秋燕, 等. 考虑多灵活性资源协调调度的配电网新能源消纳策略[J]. 电工技术学报, 2022, 37 (7): 1820- 1835.
	JIANG Yunpeng, REN Zhouyang, LI Qiuyan, et al. An accommodation strategy for renewable energy in distribution network considering coordinated dispatching of multi-flexible resources[J]. Transactions of China Electrotechnical Society, 2022, 37 (7): 1820- 1835.
18	李超, 苗世洪, 盛万兴, 等. 考虑动态网络重构的主动配电网优化运行策略[J]. 电工技术学报, 2019, 34 (18): 3909- 3919.
	LI Chao, MIAO Shihong, SHENG Wanxing, et al. Optimization operation strategy of active distribution network considering dynamic network reconfiguration[J]. Transactions of China Electrotechnical Society, 2019, 34 (18): 3909- 3919.
19	DOROSTKAR-GHAMSARI M R, FOTUHI-FIRUZABAD M, LEHTONEN M, et al. Value of distribution network reconfiguration in presence of renewable energy resources[J]. IEEE Transactions on Power Systems, 2016, 31 (3): 1879- 1888. DOI
20	乔锐勋, 王军华, 韦道明, 等. 计及后备储能及空调调度潜力的5G基站多时间尺度优化方法[J]. 电力系统自动化, 2023, 47 (4): 111- 120. DOI
	QIAO Ruixun, WANG Junhua, WEI Daoming, et al. Multi-time-scale optimization method for 5G base station considering backup energy storage and air-conditioning scheduling potential[J]. Automation of Electric Power Systems, 2023, 47 (4): 111- 120. DOI
21	毛安家, 张丽婧, 盛倩倩. 考虑通信可靠性的5G基站储能聚合商优化调度研究[J]. 电工技术学报, 2023, 38 (9): 2364- 2374.
	MAO Anjia, ZHANG Lijing, SHENG Qianqian. Research on optimal scheduling of 5G base station energy storage aggregators considering communication reliability[J]. Transactions of China Electrotechnical Society, 2023, 38 (9): 2364- 2374.
22	王艳茹, 尹喜阳, 欧清海, 等. 基于能量共享与交易协同的5G融合配电网基站储能调控方法[J]. 中国电力, 2023, 56 (6): 61- 70.
	WANG Yanru, YIN Xiyang, OU Qinghai, et al. Energy storage regulation method of base stations in 5G integrated distribution network based on energy sharing and trading coordination[J]. Electric Power, 2023, 56 (6): 61- 70.
23	韩子颜, 王守相, 赵倩宇, 等. 计及分时电价的5G基站光储系统容量优化配置方法[J]. 中国电力, 2022, 55 (9): 8- 15.
	HAN Ziyan, WANG Shouxiang, ZHAO Qianyu, et al. A capacity optimization configuration method for photovoltaic and energy storage system of 5 G base station considering time-of-use electricity price[J]. Electric Power, 2022, 55 (9): 8- 15.
24	RENGA D, AL HAJ HASSAN H, MEO M, et al. Energy management and base station on/off switching in green mobile networks for offering ancillary services[J]. IEEE Transactions on Green Communications and Networking, 2018, 2 (3): 868- 880. DOI
25	周宸宇, 冯成, 王毅. 基于移动用户接入控制的5G通信基站需求响应[J]. 中国电机工程学报, 2021, 41 (16): 5452- 5461.
	ZHOU Chenyu, FENG Cheng, WANG Yi. Demand response of 5G communication base station based on mobile user access control[J]. Proceedings of the CSEE, 2021, 41 (16): 5452- 5461.

[1]	刘晗, 刘金东, 李贺, 李彦立, 于起媛, 赵远, 耿亚男. 基于CEEMDAN与NRBO-XGBoost的含光伏配电网漏电故障辨识[J]. 中国电力, 2025, 58(9): 23-32.
[2]	吉兴全, 张祥星, 张玉敏, 叶平峰, 王德龙, 黄心月. 基于LSD算法的多分支配电网故障定位[J]. 中国电力, 2025, 58(9): 54-67.
[3]	赵珊珊, 高菲, 李雅洁, 李建芳, 张瑜, 段祥骏, 董伟杰. 基于改进模因算法的含微网群的柔性配电网多目标优化控制[J]. 中国电力, 2025, 58(9): 97-104.
[4]	王世谦, 韩丁, 王楠, 白宏坤, 宋大为, 胡彩红. 基于双层主从博弈的主动配电网协同调度[J]. 中国电力, 2025, 58(9): 105-114.
[5]	栗志鹏, 刘少博, 杨浩, 董蕊, 祁琛峰, 沈硕, 赵鹏. 基于PSO的配电网谐波抑制与降损增效协同优化[J]. 中国电力, 2025, 58(8): 50-59.
[6]	刘军会, 龚健, 佟炳绅, 李松杰, 张艺涵, 崔世常, 田春筝, 张永斌. 基于分布式储能与光伏的虚拟电厂与配电网协同优化方法[J]. 中国电力, 2025, 58(6): 1-9.
[7]	王方敏, 顼佳宇, 苏宁, 牛焕娜, 袁嘉兴, 门盼龙. 新型电力系统风险抑制下分布式光伏承载力概率评估方法[J]. 中国电力, 2025, 58(6): 33-44.
[8]	秦昆, 渠志江, 韩建伟, 许涛, 高峰, 迟晓莉. 基于可调虚拟阻抗的“柔-储-充”装置电池优化运行策略[J]. 中国电力, 2025, 58(6): 145-155.
[9]	李鹏, 祖文静, 刘一欣, 田春筝, 郝元钊, 李慧璇. 基于不完全量测数据的配电网状态估计方法[J]. 中国电力, 2025, 58(5): 1-10.
[10]	汪进锋, 李金鹏, 许银亮, 刘海涛, 何锦雄, 许建远. 考虑不确定性和绿证交易的虚拟电厂与配电网分布式优化[J]. 中国电力, 2025, 58(4): 21-30, 192.
[11]	徐慧慧, 田云飞, 赵宇洋, 彭婧, 石庆鑫, 成锐. 基于条件生成对抗网络与多智能体强化学习的配电网可靠性评估方法[J]. 中国电力, 2025, 58(4): 230-236.
[12]	孙通, 张沈习, 曹毅, 曹佳晨, 程浩忠. 计及5G基站可调特性的配电网分布式光伏准入容量鲁棒优化[J]. 中国电力, 2025, 58(2): 140-146.
[13]	鲍红焉, 刘吉成, 刘子毅, 孙嘉康. 考虑电氢混合储能容量配置的主动配电网双层优化模型[J]. 中国电力, 2025, 58(10): 27-38.
[14]	檀勤良, 曾贾斌, 吕函谕, 贺嘉明, 史超凡, 丁毅宏. 考虑源网荷储协同的配网侧分布式光伏市场交易策略优化[J]. 中国电力, 2025, 58(10): 39-49.
[15]	廖建, 张耀, 张贝西, 董浩淼, 李嘉兴, 孙乾皓. 考虑电动汽车需求响应的交直流混合配电网智能软开关与储能装置鲁棒联合规划方法[J]. 中国电力, 2025, 58(10): 82-96.

考虑5G基站可调度潜力的配电网分布式光伏最大准入容量评估

Evaluation of Distributed Photovoltaic Maximum Hosting Capacity for Distribution Network Considering Dispatchable Potential of 5G Base Station

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 25

相关文章 15

编辑推荐

Metrics

模态框（Modal）标题

考虑5G基站可调度潜力的配电网分布式光伏最大准入容量评估

Evaluation of Distributed Photovoltaic Maximum Hosting Capacity for Distribution Network Considering Dispatchable Potential of 5G Base Station

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 25

相关文章 15

编辑推荐

Metrics