
浏览全部资源
扫码关注微信
1.新型电力系统运行与控制全国重点实验室(清华大学),北京市 100084
2.清华四川能源互联网研究院,四川省成都市 610200
3.北京创智信科科技股份有限公司,北京市 100089
4.国网上海市电力公司,上海市 200001
高洪超(1990—),男,博士,助理研究员,主要研究方向:虚拟电厂、微电网、分布式能源系统的运行控制与市场运营。E-mail:hcgaoth@tsinghua.edu.cn
李楚一(1999—),男,博士研究生,主要研究方向:虚拟电厂资源建模、用电大数据。E-mail:li-cy21@mails.tsinghua.edu.cn
王冠雄(1999—),男,硕士研究生,主要研究方向:综合能源系统、虚拟电厂的运行调度。E-mail:m202120244@xs.ustb.edu.cn
康重庆(1969—),男,通信作者,博士,教授,博士生导师,主要研究方向:电力系统规划、电力系统优化运行、可再生能源、低碳电力技术、负荷预测、电力市场。E-mail:cqkang@ tsinghua.edu.cn
收稿:2023-10-03,
修回:2024-02-02,
网络出版:2024-04-08,
纸质出版:2024-09-25
移动端阅览
高洪超,李楚一,王冠雄等.聚合规模化5G基站的虚拟电厂动态构建与响应实证[J].电力系统自动化,2024,48(18):47-55.
GAO Hongchao,LI Chuyi,WANG Guanxiong,et al.Dynamic Construction and Response Demonstration of Virtual Power Plant with Aggregated Large-scale 5G Base Stations[J].Automation of Electric Power Systems,2024,48(18):47-55.
高洪超,李楚一,王冠雄等.聚合规模化5G基站的虚拟电厂动态构建与响应实证[J].电力系统自动化,2024,48(18):47-55. DOI: 10.7500/AEPS20231003001.
GAO Hongchao,LI Chuyi,WANG Guanxiong,et al.Dynamic Construction and Response Demonstration of Virtual Power Plant with Aggregated Large-scale 5G Base Stations[J].Automation of Electric Power Systems,2024,48(18):47-55. DOI: 10.7500/AEPS20231003001.
由于新能源的渗透率不断提高,电力系统的调节压力日益增大,面临着灵活性短缺的问题。随着虚拟电厂等新兴主体参与到互动中来,广大分布式资源得以被聚合,成为电力系统中不可忽视的调节资源。以面向5G基站的虚拟电厂为研究对象,首先
讨论了5G基站内部子模块响应潜力协同机理,解析构建了不同资源对象的用能模型;其次
分析了规模化5G基站响应的可行域刻画问题,剖析了5G基站响应特性的子模块独立刻画与分类刻画的差异性效果,详细阐述了基于近似闵可夫斯基和的聚合算法中不同方法的可行域偏差;然后
分析了规模化5G基站可行域分类刻画的优势和原理,并基于多个算例进行了有效性验证;最后
基于真实的响应数据展示了规模化5G基站虚拟电厂的响应实证效果。
Due to the increasing penetration of renewable energy sources
the power system is facing a lack of flexibility as a result of the increasing pressure on its regulation. With the participation of virtual power plants and other emerging entities in the interaction
a wide range of distributed resources can be aggregated and become regulating resources that cannot be ignored in the power system. This virtual power plants with 5G base stations are taken as the research objects. Firstly
the coordination mechanism of response potential of submodules in 5G base stations is discussed
and energy utilization models for different resource objects are developed. Secondly
the problem of characterizing the feasible region of the aggregated response of large-scale 5G base stations is analyzed
and the differential effect on 5G base station response characteristics between independent charaterization and classified charaterization is analyzed. The feasible region deviation of different aggregation methods in approximate solution based on Minkowski sum is elaborated in detail. Then
the advantages and principles of classifying characterization of feasible region for large-scale 5G base stations are analyzed
and the effectiveness is verified through multiple cases. Finally
based on actual response data
the response empirical effect of virtual power plant with large-scale 5G base stations is demonstrated.
康重庆 , 杜尔顺 , 郭鸿业 , 等 . 新型电力系统的六要素分析 [J]. 电网技术 , 2023 , 47 ( 5 ): 1741 - 1750 .
KANG Chongqing , DU Ershun , GUO Hongye , et al . Primary exploration of six essential factors in new power system [J]. Power System Technology , 2023 , 47 ( 5 ): 1741 - 1750 .
陈启鑫 , 高洪超 , 冯成 , 等 . 虚拟电厂动态构建与可信量化:理论分析与关键技术 [J]. 电力系统自动化 , 2022 , 46 ( 18 ): 26 - 36 .
CHEN Qixin , GAO Hongchao , FENG Cheng , et al . Dynamic construction and trustworthy quantification of virtual power plant: theoretical analysis and key technologies [J]. Automation of Electric Power Systems , 2022 , 46 ( 18 ): 26 - 36 .
人民网 . 工信部:5G基站累计超293万个 覆盖广度深度持续拓展 [EB/OL].[ 2023-07-19 ]. http://finance.people.com.cn/n1/2023/0719/c1004-40039127.html http://finance.people.com.cn/n1/2023/0719/c1004-40039127.html .
People's Daily Online . Ministry of Industry and Information Technology: the cumulative number of 5G base stations exceeds 2.93 million coverage breadth and depth continue to expand [EB/OL]. [ 2023-07-19 ]. http://finance.people.com.cn/n1/2023/0719/c1004-40039127.html http://finance.people.com.cn/n1/2023/0719/c1004-40039127.html .
前瞻网 . 2022年中国储能电池行业市场现状及发展前景分析:5G基站备用电源储能需求将达78.6 GWh [EB/OL].[ 2021-10-25 ]. https://www.qianzhan.com/analyst/detail/220/2110255d dbe988.html https://www.qianzhan.com/analyst/detail/220/2110255ddbe988.html .
Foresight Net . Analysis of the market status and development prospect of China's energy storage battery industry in 2022: the demand for 5G base station backup power storage will reach 78.6 GWh [EB/OL]. [ 2021-10-25 ]. https://www.qianzhan.com/analyst/detail/220/2110255ddbe988.html https://www.qianzhan.com/analyst/detail/220/2110255ddbe988.html .
雍培 , 张宁 , 慈松 , 等 . 5G通信基站参与需求响应:关键技术与前景展望 [J]. 中国电机工程学报 , 2021 , 41 ( 16 ): 5540 - 5551 .
YONG Pei , ZHANG Ning , CI Song , et al . 5G communication base stations participating in demand response: key technologies and prospects [J]. Proceedings of the CSEE , 2021 , 41 ( 16 ): 5540 - 5551 .
焦安群 , 陈超 , 高宏亮 , 等 . 5G时代基站耗电量大的应对策略 [J]. 电子技术与软件工程 , 2021 ( 4 ): 3 - 4 .
JIAO Anqun , CHEN Chao , GAO Hongliang , et al . Strategies to deal with large power consumption of base stations in the 5G era [J]. Electronic Technology & Software Engineering , 2021 ( 4 ): 3 - 4 .
卫志农 , 余爽 , 孙国强 , 等 . 虚拟电厂的概念与发展 [J]. 电力系统自动化 , 2013 , 37 ( 13 ): 1 - 9 .
WEI Zhinong , YU Shuang , SUN Guoqiang , et al . Concept and development of virtual power plant [J]. Automation of Electric Power Systems , 2013 , 37 ( 13 ): 1 - 9 .
刘雨佳 , 樊艳芳 . 计及5G基站储能和技术节能措施的虚拟电厂调度优化策略 [J]. 电力系统及其自动化学报 , 2022 , 34 ( 1 ): 8 - 15 .
林固静 , 高赐威 , 宋梦 , 等 . 含通信基站备用储能的虚拟电厂构建及调度方法 [J]. 电力系统自动化 , 2022 , 46 ( 18 ): 99 - 107 .
LIN Gujing , GAO Ciwei , SONG Meng , et al . Construction and dispatch method of virtual power plant with backup energy storage in communication base stations [J]. Automation of Electric Power Systems , 2022 , 46 ( 18 ): 99 - 107 .
王晓卫 , 康乾坤 , 梁振锋 , 等 . 考虑5G基站储能参与配网供电恢复研究 [J/OL]. 电工技术学报 [ 2023-09-28 ]. https://kns.cnki.net/kcms2/article/abstract?v=KiAZ1SjiA7NIza59hTEtW kLSn3oTeTtJpSy2MAMizPltdeDLbgqEu6fCaOhnX1k3ZQGS80RNb6hfUQ7VXk1JDajkWTDEsax7x10xR_C4GbzJP8m9GENdxpBFCdO6NnjsFtkkpOFo=&uniplatform=NZKPT&fla g=copy https://kns.cnki.net/kcms2/article/abstract?v=KiAZ1SjiA7NIza59hTEtWkLSn3oTeTtJpSy2MAMizPltdeDLbgqEu6fCaOhnX1k3ZQGS80RNb6hfUQ7VXk1JDajkWTDEsax7x10xR_C4GbzJP8m9GENdxpBFCdO6NnjsFtkkpOFo=&uniplatform=NZKPT&flag=copy .
WANG Xiaowei , KANG Qiankun , LIANG Zhenfeng , et al . Distribution network restoration supply method considers 5G base station energy storage participation [J/OL]. Transactions of China Electrotechnical Society [ 2023-09-28 ]. https://kns.cnki.net/kcms2/article/abstract?v=KiAZ1SjiA7NIza59hT EtWkLSn3oTeTtJpSy2MAMizPltdeDLbgqEu6fCaOhnX1k3ZQGS80RNb6hfUQ7VXk1JDajkWTDEsax7x10xR_C4GbzJP8m9GENdxpBFCdO6NnjsFtkkpOFo=&uniplatform=NZ KPT&flag=copy https://kns.cnki.net/kcms2/article/abstract?v=KiAZ1SjiA7NIza59hTEtWkLSn3oTeTtJpSy2MAMizPltdeDLbgqEu6fCaOhnX1k3ZQGS80RNb6hfUQ7VXk1JDajkWTDEsax7x10xR_C4GbzJP8m9GENdxpBFCdO6NnjsFtkkpOFo=&uniplatform=NZKPT&flag=copy .
刘迪迪 , 杨玉荟 , 肖佳文 , 等 . 计及能量共享的5G基站电能实时调度优化策略 [J]. 西安电子科技大学学报 , 2023 , 50 ( 5 ): 44 - 53 .
LIU Didi , YANG Yuhui , XIAO Jiawen , et al . Real-time power scheduling optimization strategy for 5G base stations considering energy sharing [J]. Journal of Xidian University , 2023 , 50 ( 5 ): 44 - 53 .
李金雨 , 宋福龙 , 马俊杰 , 等 . 基于5G基站可调度潜力与配电网集群划分的储能选址定容方法 [J]. 电力系统自动化 , 2023 , 47 ( 18 ): 151 - 160 .
LI Jinyu , SONG Fulong , MA Junjie , et al . Siting and sizing method for energy storage based on dispatchable potential of 5G base station and cluster partition of distribution network [J]. Automation of Electric Power Systems , 2023 , 47 ( 18 ): 151 - 160 .
麻秀范 , 孟祥玉 , 朱秋萍 , 等 . 计及通信负载的5G基站储能调控策略 [J]. 电工技术学报 , 2022 , 37 ( 11 ): 2878 - 2887 .
MA Xiufan , MENG Xiangyu , ZHU Qiuping , et al . Control strategy of 5G base station energy storage considering communication load [J]. Transactions of China Electrotechnical Society , 2022 , 37 ( 11 ): 2878 - 2887 .
汤江晖 , 苏子云 , 王迎秋 , 等 . 考虑5G宏基站空调负荷参与需求响应的潜力分析 [J]. 电力需求侧管理 , 2022 , 24 ( 6 ): 77 - 83 .
TANG Jianghui , SU Ziyun , WANG Yingqiu , et al . Potential analysis of 5G macro base station’s air conditioning load participating in demand response [J]. Power Demand Side Management , 2022 , 24 ( 6 ): 77 - 83 .
BAROT S , TAYLOR J A . A concise, approximate representation of a collection of loads described by polytopes [J]. International Journal of Electrical Power & Energy Systems , 2017 , 84 : 55 - 63 .
MULLER F L , SZABO J , SUNDSTROM O , et al . Aggregation and disaggregation of energetic flexibility from distributed energy resources [J]. IEEE Transactions on Smart Grid , 2019 , 10 ( 2 ): 1205 - 1214 .
YI Z K , XU Y L , GU W , et al . Aggregate operation model for numerous small-capacity distributed energy resources considering uncertainty [J]. IEEE Transactions on Smart Grid , 2021 , 12 ( 5 ): 4208 - 4224 .
TAN Z F , ZHONG H W , WANG J X , et al . Enforcing intra-regional constraints in tie-line scheduling: a projection-based framework [J]. IEEE Transactions on Power Systems , 2019 , 34 ( 6 ): 4751 - 4761 .
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 .
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 .
0
浏览量
0
下载量
3
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621