

浏览全部资源
扫码关注微信
1.东南大学电气工程学院,江苏省南京市 210096
2.东南大学软件学院,江苏省南京市 210096
3.国网安徽省电力有限公司合肥供电公司,安徽省合肥市 230061
Received:24 October 2022,
Revised:2023-03-20,
Published Online:04 August 2023,
Published:25 September 2023
移动端阅览
王蓓蓓,吴文强,张汀荟等.考虑动态过网费的分布式电能交易与配电网运营联合交互[J].电力系统自动化,2023,47(18):91-100.
WANG Beibei,WU Wenqiang,ZHANG Tinghui,et al.Joint Interaction Between Distributed Power Trading and Distribution Network Operation Considering Dynamic Network Tariffs[J].Automation of Electric Power Systems,2023,47(18):91-100.
王蓓蓓,吴文强,张汀荟等.考虑动态过网费的分布式电能交易与配电网运营联合交互[J].电力系统自动化,2023,47(18):91-100. DOI: 10.7500/AEPS20221024005.
WANG Beibei,WU Wenqiang,ZHANG Tinghui,et al.Joint Interaction Between Distributed Power Trading and Distribution Network Operation Considering Dynamic Network Tariffs[J].Automation of Electric Power Systems,2023,47(18):91-100. DOI: 10.7500/AEPS20221024005.
随着“双碳”目标下分布式能源装机规模的增长,分布式电能点对点(P2P)交易数量与规模将持续增加,通过建立短期过网费模型与动态调整机制进行分布式交易与配电网的长期交互运营,能够有效促进配电网在新型能源结构下的运营与成本回收方式转变。首先,基于P2P交易对电网产生的额外短期运营成本,建立了包含线路占用成本、电压调整成本和网损成本3个部分的P2P交易过网费模型,针对P2P交易量小分散、高频实时等特点采用连续双向拍卖方式进行交易撮合匹配。然后,进一步设计了考虑线路利用率以及增量成本的动态过网费更新调整模型,同时建立了购售电用户参与P2P交易的报价报量策略调整模型,基于Vensim DSS平台和MATLAB软件进行了长时间尺度的联合交互仿真。算例分析表明,所提动态过网费可以释放出更强的价格信号,刺激P2P交易在利用率较低线路上的潮流分布,同时抑制利用率较高的线路产生较多的净潮流增量,达到“促低抑高”的效果,实现网络资产的有效利用。同时,收取过网费在未来较长一段时间内并不会损害用户参与P2P交易的积极性。因此,可以促进分布式交易与配电网的良性协同发展,实现配电网用户与公共配电网运营商的共赢。
With the growth of the installed scale of distributed energy under the goals of carbon emission peak and carbon neutrality
the number and scale of peer-to-peer (P2P) for distributed power trading will keep increasing. By establishing a short-term network tariff model and dynamic adjustment mechanism for long-term interactive operation of distributed trading and distribution networks
this paper aims to effectively promote the transformation of the operation and cost recovery methods of distribution networks under the new energy structure. First
based on the additional short-term operation costs of P2P trading on the grid
this paper establishes a P2P trading network tariff model with three parts: line occupation cost
voltage adjustment cost and network loss cost
and adopts continuous two-way auction to match the trading aggregation for P2P trading with small volume
high frequency and real-time characteristics
and then further designs a dynamic network tariff update and adjustment model considering line utilization and incremental cost. At the same time
a quotation and quantity strategy adjustment model for electricity purchasing and selling users participating in P2P trading has been established. Based on the Vensim DSS platform and MATLAB software
a long time-scale joint interaction simulation is conducted. The case analysis shows that the proposed dynamic network tariff can release stronger price signals to stimulate the power flow distribution of P2P trading on the less utilized lines
while discouraging the higher utilized lines from generating more net power flow increments to achieve the effect of “low promotion and high suppression” and realize the effective utilization of network assets. Moreover
network tariff charging will not harm users’ enthusiasm to participate in P2P trading for a long period of time in the future. Therefore
it can promote the benign synergistic development of distributed trading and distribution network
and realize the win-win situation of distribution network users and public distribution network operators.
国家能源局 . 关于开展分布式发电市场化交易试点的通知 [EB/OL].[ 2022-10-31 ]. http://zfxxgk.nea.gov.cn/auto87/201711/t20171113_3055.htm http://zfxxgk.nea.gov.cn/auto87/201711/t20171113_3055.htm .
National Energy Administration . Notice on the pilot market-based trading of distributed power generation [EB/OL]. [ 2022-10-31 ]. http://zfxxgk.nea.gov.cn/auto87/201711/t20171113_3055.htm http://zfxxgk.nea.gov.cn/auto87/201711/t20171113_3055.htm .
国家能源局 . 关于开展分布式发电市场化交易试点的补充通知 [EB/OL].[ 2022-12-28 ]. http://zfxxgk.nea.gov.cn/auto87/201801/t20180103_3094.htm http://zfxxgk.nea.gov.cn/auto87/201801/t20180103_3094.htm .
National Energy Administration . Supplementary notice on the pilot market-based trading of distributed power generation [EB/OL]. [ 2022-12-28 ]. http://zfxxgk.nea.gov.cn/auto87/201801/t20180103_3094.htm http://zfxxgk.nea.gov.cn/auto87/201801/t20180103_3094.htm .
姚昊天 , 向月 , 刘俊勇 . 基于过网费动态更新的分布式电源多主体协同规划方法 [J]. 电力系统自动化 , 2021 , 45 ( 17 ): 70 - 78 .
YAO Haotian , XIANG Yue , LIU Junyong . Multi-agent collaborative planning method for distributed generators based on dynamic updating of network tariffs [J]. Automation of Electric Power Systems , 2021 , 45 ( 17 ): 70 - 78 .
石方迪 , 刘敦楠 , 余涛 , 等 . 适应光伏学习曲线的分布式交易过网费机制 [J]. 智慧电力 , 2020 , 48 ( 3 ): 96 - 103 .
SHI Fangdi , LIU Dunnan , YU Tao , et al . Probe into mechanism of use of system charge in distributed trading adapted to photovoltaic learning curve [J]. Smart Power , 2020 , 48 ( 3 ): 96 - 103 .
吴治国 , 刘继春 , 张帅 , 等 . 多售电主体点对点交易模式及其动态过网费机制 [J]. 电力系统自动化 , 2021 , 45 ( 19 ): 100 - 108 .
WU Zhiguo , LIU Jichun , ZHANG Shuai , et al . Peer-to-peer transaction model of multiple power sellers and its dynamic network fee mechanism [J]. Automation of Electric Power Systems , 2021 , 45 ( 19 ): 100 - 108 .
GUERRERO J , CHAPMAN A C , VERBIČ G . Decentralized P2P energy trading under network constraints in a low-voltage network [J]. IEEE Transactions on Smart Grid , 2019 , 10 ( 5 ): 5163 - 5173 .
BAROCHE T , PINSON P , LE GOFF LATIMIER R , et al . Exogenous cost allocation in peer-to-peer electricity markets [J]. IEEE Transactions on Power Systems , 2019 , 34 ( 4 ): 2553 - 2564 .
CHEN Y C , DOMÍNGUEZ-GARCÍA A D , SAUER P W . Measurement-based estimation of linear sensitivity distribution factors and applications [J]. IEEE Transactions on Power Systems , 2014 , 29 ( 3 ): 1372 - 1382 .
NOOD A J , OLLENBERG B F , SHEBLÉ G B. Power generation, operation, and control [M]. 3rd ed . Hoboken, USA : Wiley , 2013 .
CONEJO A J , GALIANA F D , KOCKAR I . Z-bus loss allocation [J]. IEEE Transactions on Power Systems , 2001 , 16 ( 1 ): 105 - 110 .
AZIM M I , POURMOUSAVI S A , TUSHAR W , et al . Feasibility study of financial P2P energy trading in a grid-tied power network [C]// 2019 IEEE Power & Energy Society General Meeting (PESGM) , August 4-8 , 2019 , Atlanta, USA : 1 - 5 .
NAVARRO-ESPINOSA A , OCHOA L F . Probabilistic impact assessment of low carbon technologies in LV distribution systems [J]. IEEE Transactions on Power Systems , 2016 , 31 ( 3 ): 2192 - 2203 .
MALEKI DELARESTAGHI J , AREFI A , LEDWICH G , et al . A distribution network planning model considering neighborhood energy trading [J]. Electric Power Systems Research , 2021 , 191 : 106894 .
张雅君 , 顾承红 , 李芙蓉 . 考虑过网费及可再生能源不确定性的最优局域电力交易策略 [J]. 全球能源互联网 , 2020 , 3 ( 5 ): 461 - 468 .
ZHANG Yajun , GU Chenghong , LI Furong . Optimal local electricity trading strategy considering the uncertainty of network access fee and renewable energy [J]. Journal of Global Energy Interconnection , 2020 , 3 ( 5 ): 461 - 468 .
梁倩园 . 配电网配电价格定价方法研究 [D]. 广州 : 华南理工大学 , 2021 .
LIANG Qianyuan . Research on distribution pricing method of distribution network [D]. Guangzhou : South China University of Technology , 2021 .
刘升 . 电网可用输电能力的研究 [D]. 北京 : 中国电力科学研究院 , 2012 .
LIU Sheng . Research on available transfer capability of power grid [D]. Beijing : China Electric Power Research Institute , 2012 .
ARAPOSTATHIS A , SASTRY S S , VARAIYA P . Analysis of power flow equations [J]. International Journal of Electrical Power & Energy Systems , 1981 , 3 : 115 - 126 .
BAILLIEUL J , BYRNES C . Geometric critical point analysis of lossless power system models [J]. IEEE Transactions on Circuits and Systems , 1982 , 29 ( 11 ): 724 - 737 .
PAUDEL A , SAMPATH L P M I , YANG J W , et al . Peer-to-peer energy trading in smart grid considering power losses and network fees [J]. IEEE Transactions on Smart Grid , 2020 , 11 ( 6 ): 4727 - 4737 .
BOLOGNANI S , ZAMPIERI S . On the existence and linear approximation of the power flow solution in power distribution networks [J]. IEEE Transactions on Power Systems , 2016 , 31 ( 1 ): 163 - 172 .
许伦 , 王蓓蓓 , 李雅超 , 等 . 配电网安全导向的分布式资源P2P区块链交易机制研究 [J]. 电力自动化设备 , 2021 , 41 ( 9 ): 215 - 223 .
XU Lun , WANG Beibei , LI Yachao , et al . Research on P2P blockchain transaction mechanism of distributed resources oriented by distribution network security [J]. Electric Power Automation Equipment , 2021 , 41 ( 9 ): 215 - 223 .
GU C H , YUAN Y . Trade-off between UoS charge and investment cost for new distribution network users [J]. IEEE Transactions on Power Systems , 2015 , 30 ( 1 ): 542 - 543 .
CHENG S , GU C H , YANG X H , et al . Network pricing for multienergy systems under long-term load growth uncertainty [J]. IEEE Transactions on Smart Grid , 2022 , 13 ( 4 ): 2715 - 2729 .
LI F R , GU C H . Long-run incremental cost pricing for negative growth rates [J]. IEEE Transactions on Power Systems , 2011 , 26 ( 4 ): 2567 - 2568 .
LI F R , TOLLEY D L . Long-run incremental cost pricing based on unused capacity [J]. IEEE Transactions on Power Systems , 2007 , 22 ( 4 ): 1683 - 1689 .
李雅超 . 配额制背景下促进高比例可再生能源消纳的跨省跨区交易方法研究 [D]. 南京 : 东南大学 , 2020 .
LI Yachao . Research on cross-provincial and cross-regional trading methods to promote high proportion of renewable energy consumption under renewable portfolio standard [D]. Nanjing : Southeast University , 2020 .
杨立兵 , 张汀荟 , 李雅超 , 等 . 基于配额制的可再生能源电力交易系统动力学仿真 [J]. 全球能源互联网 , 2020 , 3 ( 5 ): 497 - 507 .
YANG Libing , ZHANG Tinghui , LI Yachao , et al . Dynamic simulation of renewable energy electricity trading system based on quota system [J]. Journal of Global Energy Interconnection , 2020 , 3 ( 5 ): 497 - 507 .
0
Views
0
下载量
5
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621