配电网规划的数字化技术和建模方法——第24届国际供电会议研究成果综述
|
摘要
接入配电网中的元件多样复杂,并且分布式电源具有运行不确定性和波动性,这为配电网规划工作带来新的挑战,而越来越普及的数字化工具和建模方法则为开发先进的配电网规划方法提供了新的契机。基于第24届国际供电会议(CIRED 2017)规划分会5中的相关议题,介绍了如何利用数字化技术进行负荷建模和预测、网络建模、电气建模和分析计算,并展示了欧洲各国大量的实际应用案例。相关研究成果和实践经验可为我国配网规划人员开发基于数字化技术的应用和建模方法提供借鉴和参考。
Distribution network planning faces new challenges brought about by diverse and complex components integrated in the network, especially increasing uncertainty and volatility due to high penetration of distributed generations. However, increasing widespread use of digitalized techniques provides new opportunities. Based on relevant topics in Session 5 of the 24 th International Conference on Electricity Distribution(CIRED 2017), this paper presents how to apply digitalized technology to load modeling and forecasting, network modeling, electrical modeling and calculation analysis, and demonstrates many pilot projects practicing in European countries. The results and experiences would give researchers and engineers an insight about developing digitalized applications and models for distribution network planning in China.
Distribution network planning faces new challenges brought about by diverse and complex components integrated in the network, especially increasing uncertainty and volatility due to high penetration of distributed generations. However, increasing widespread use of digitalized techniques provides new opportunities. Based on relevant topics in Session 5 of the 24 th International Conference on Electricity Distribution(CIRED 2017), this paper presents how to apply digitalized technology to load modeling and forecasting, network modeling, electrical modeling and calculation analysis, and demonstrates many pilot projects practicing in European countries. The results and experiences would give researchers and engineers an insight about developing digitalized applications and models for distribution network planning in China.
引文
[1]范明天,张祖平.2015年第23届国际供电会议综述[J].供用电,2015,32(9):34-43.Fan Mingtian,Zhang Zuping.A summary of the 23rd international conference&exhibition on electricity distribution n[J].Distribution&Utilization,2015,32(9):34-43(in Chinese).
[2]范明天,张祖平,徐丙垠,等.2017年第24届国际供电会议综述[J].供用电,2017,34(11):33-41.Fan Mingtian,Zhang Zuping,Xu Bingyin,et al.A summary of the24rd international conference&exhibition on electricity distribution(CIRED)in 2017[J].Distribution&Utilization,2017,34(11):33-41(in Chinese).
[3]孙丰杰,谢宁,王承民,等.2017年国际供电会议配电系统规划研究成果综述[J].电网技术,2018,42(9):2733-2741.Sun Fengjie,Xie Ning,Wang Chengmin,et al.Summary of research results of power distribution system planning for 2017 International Power Supply Conference[J].Power System Technology,2018,42(9):2733-2741(in Chinese).
[4]王佳仁,谢宁,王承民,等.提升现代配电系统效率和效益的研究与实践[J].电网技术,2018,42(11):3543-3548.Wang Jiaren,Xie Ning,Wang Chengmin,et al.Research and practice of improving the efficiency and efficiency of modern power distribution systems[J].Power System Technology,2018,42(11):3543-3548(in Chinese).
[5]惠慧,范明天.配电网规划应用ICT技术的进展[J].电网技术,2018,42(11):3549-3556.Hui Hui,Fan Mingtian.Progress in the application of ICT technology in distribution network planning[J].Power System Technology,2018,42(11):3549-3556(in Chinese).
[6]刘文霞,郝永康,张馨月,等.基于数字化技术的电网资产管理关键技术及应用[J].电网技术,2018,42(9):2742-2751.Liu Wenxia,Hao Yongkang,Zhang Xinyue,et al.Key technologies and applications of grid asset management based on digital technology[J].Power System Technology,2018,42(9):2742-2751(in Chinese).
[7]Gerossier A,Kariniotakis G,Girard R,et al.Probabilistic day-ahead forecasting of household electricity demand[C]//CIRED,Glasgow,Scotland,2017.
[8]Poursharif G,Brint A,Black M,et al.Analyzing the ability of smart meter data to provide accurate information to the UK DNOs[C]//CIRED,Glasgow,Scotland,2017.
[9]Vallee F,Hupez M,Toubeau J F,et al.Dealing with sparse smart metering data in techno-economic analysis of low voltage networks[C]//CIRED,Glasgow,Scotland,2017.
[10]Pereira V,Mousinho P,Jorge L.Identification of electrical energy consumption patterns[C]//CIRED,Glasgow,Scotland,2017.
[11]Grabner M,Bregar Z,Ivanjko?,et al.The improved model for the spatial load forecasting of the slovenian distribution network[C]//CIRED,Glasgow,Scotland,2017.
[12]Zacharie De Greve,Fabian Lecron,Franc Ois Vallee,et al.Comparing time series clustering approaches for individual electrical load patterns[C]//CIRED,Glasgow,Scotland,2017.
[13]Kaloudas C,Shaw R.Long-term forecasting of reactive power demand in distribution networks[C]//CIRED,Glasgow,Scotland,2017.
[14]Kong N,Barbier T,Pelton G.Long term forecast of local electrical demand and evaluation of future impacts on the electricity distribution network[C]//CIRED,Glasgow,Scotland,2017.
[15]Wada H,Nomura H,Umemura E.Advancement of load estimation method for LV distribution facilities[C]//CIRED,Glasgow,Scotland,2017.
[16]Provoost F,Smits F,Jansen B.Fully automated calculations in both MV and LV networks[C]//CIRED,Glasgow,Scotland,2017.
[17]Shapovalov A,Jendernalik L.Application of time-resolved input data for smart grid simulation[C]//CIRED,Glasgow,Scotland,2017.
[18]Rozic B,Mlakar D,Gruden M,et al.Elektro Gorenjska CIMProject[C]//CIRED,Glasgow,Scotland,2017.
[19]Johnstone K,Blair S M,Syed M H A,et al.A co-simulation approach using powerfactory and Matlab/Simulink to enable validation of distributed control concepts within future power systems[C]//CIRED,Glasgow,Scotland,2017.
[20]Hupez M,De Grève Z,Vallée F.A comparative assessment of a quasi-sequential and a sequential approach for distribution network stochastic analysis[C]//CIRED,Glasgow,Scotland,2017.
[21]Chen H,Wang Yurong,Li Ruomei,et al.Wind power forecasting based on refined LSTAR-GARCH model[C]//CIRED,Glasgow,Scotland,2017.
[22]Sande P,Danes M,Dekker T.ANDES:grid capacity planning using a bottom-up,profile-based load forecasting approach[C]//CIRED,Glasgow,Scotland,2017.
[23]Hiroyuki I,Tomihiro A,Takukan A,et al.Advancement in state grasping method of MV distribution network for short-term and mid-term planning[C]//CIRED,Glasgow,Scotland,2017.
[24]Berry J,Kazerooni A,Eves M.The impact of low carbon technologies on short-circuit levels in medium voltage networks[C]//CIRED,Glasgow,Scotland,2017.
[25]Edwards P,Berry J.Characterisation of 11kV fault level contributions based on substation load profile[C]//CIRED,Glasgow,Scotland,2017.
[26]杨德昌,赵肖余,何绍文,等.面向海量用户用电数据的集成负荷预测[J].电网技术,2018,42(9):2923-2929.Yang Dechang,Zhao Xiaoyu,He Shaowen,et al.Integrated load forecasting for massive users'electricity consumption data[J].Power System Technology,2018,42(9):2923-2929(in Chinese).
[27]杨志宏,周斌,张海滨,等.智能变电站自动化系统新方案的探讨[J].电力系统自动化,2016,40(14):1-7.Yang Zhihong,Zhou Bin,Zhang Haibin,et al.Discussion on novel scheme of smart substation automation system[J].Automation of Electric Power Systems,2016,40(14):1-7(in Chinese).
[28]胡军,尹立群,李振,等.基于大数据挖掘技术的输变电设备故障诊断方法[J].高电压技术,2017,43(11):3690-3697.Hu Jun,Yin Liqun,Li Zhen,et al.Fault diagnosis method for power transmission and transformation equipment based on big data mining technology[J].High Voltage Engineering,2017,43(11):3690-3697(in Chinese).
[29]叶琳浩,刘泽槐,张勇军,等.智能用电技术背景下的配电网运行规划研究综述[J].电力自动化设备,2018,38(5):154-163.Ye Linhao,Liu Zehuai,Zhang Yongjun,et al.Overview of distribution network operation planning in the background of intelligent power technology[J].Electric Power Automation Equipment,2018,38(5):154-163(in Chinese).
[30]王成山,王丹,周越.智能配电系统架构分析及技术挑战[J].电力系统自动化,2015,39(9):2-9.Wang Chengshan,Wang Dan,Zhou Yue.Framework analysis and technical challenges to smart distribution system[J].Automation of Electric Power Systems,2015,39(9):2-9(in Chinese).
[2]范明天,张祖平,徐丙垠,等.2017年第24届国际供电会议综述[J].供用电,2017,34(11):33-41.Fan Mingtian,Zhang Zuping,Xu Bingyin,et al.A summary of the24rd international conference&exhibition on electricity distribution(CIRED)in 2017[J].Distribution&Utilization,2017,34(11):33-41(in Chinese).
[3]孙丰杰,谢宁,王承民,等.2017年国际供电会议配电系统规划研究成果综述[J].电网技术,2018,42(9):2733-2741.Sun Fengjie,Xie Ning,Wang Chengmin,et al.Summary of research results of power distribution system planning for 2017 International Power Supply Conference[J].Power System Technology,2018,42(9):2733-2741(in Chinese).
[4]王佳仁,谢宁,王承民,等.提升现代配电系统效率和效益的研究与实践[J].电网技术,2018,42(11):3543-3548.Wang Jiaren,Xie Ning,Wang Chengmin,et al.Research and practice of improving the efficiency and efficiency of modern power distribution systems[J].Power System Technology,2018,42(11):3543-3548(in Chinese).
[5]惠慧,范明天.配电网规划应用ICT技术的进展[J].电网技术,2018,42(11):3549-3556.Hui Hui,Fan Mingtian.Progress in the application of ICT technology in distribution network planning[J].Power System Technology,2018,42(11):3549-3556(in Chinese).
[6]刘文霞,郝永康,张馨月,等.基于数字化技术的电网资产管理关键技术及应用[J].电网技术,2018,42(9):2742-2751.Liu Wenxia,Hao Yongkang,Zhang Xinyue,et al.Key technologies and applications of grid asset management based on digital technology[J].Power System Technology,2018,42(9):2742-2751(in Chinese).
[7]Gerossier A,Kariniotakis G,Girard R,et al.Probabilistic day-ahead forecasting of household electricity demand[C]//CIRED,Glasgow,Scotland,2017.
[8]Poursharif G,Brint A,Black M,et al.Analyzing the ability of smart meter data to provide accurate information to the UK DNOs[C]//CIRED,Glasgow,Scotland,2017.
[9]Vallee F,Hupez M,Toubeau J F,et al.Dealing with sparse smart metering data in techno-economic analysis of low voltage networks[C]//CIRED,Glasgow,Scotland,2017.
[10]Pereira V,Mousinho P,Jorge L.Identification of electrical energy consumption patterns[C]//CIRED,Glasgow,Scotland,2017.
[11]Grabner M,Bregar Z,Ivanjko?,et al.The improved model for the spatial load forecasting of the slovenian distribution network[C]//CIRED,Glasgow,Scotland,2017.
[12]Zacharie De Greve,Fabian Lecron,Franc Ois Vallee,et al.Comparing time series clustering approaches for individual electrical load patterns[C]//CIRED,Glasgow,Scotland,2017.
[13]Kaloudas C,Shaw R.Long-term forecasting of reactive power demand in distribution networks[C]//CIRED,Glasgow,Scotland,2017.
[14]Kong N,Barbier T,Pelton G.Long term forecast of local electrical demand and evaluation of future impacts on the electricity distribution network[C]//CIRED,Glasgow,Scotland,2017.
[15]Wada H,Nomura H,Umemura E.Advancement of load estimation method for LV distribution facilities[C]//CIRED,Glasgow,Scotland,2017.
[16]Provoost F,Smits F,Jansen B.Fully automated calculations in both MV and LV networks[C]//CIRED,Glasgow,Scotland,2017.
[17]Shapovalov A,Jendernalik L.Application of time-resolved input data for smart grid simulation[C]//CIRED,Glasgow,Scotland,2017.
[18]Rozic B,Mlakar D,Gruden M,et al.Elektro Gorenjska CIMProject[C]//CIRED,Glasgow,Scotland,2017.
[19]Johnstone K,Blair S M,Syed M H A,et al.A co-simulation approach using powerfactory and Matlab/Simulink to enable validation of distributed control concepts within future power systems[C]//CIRED,Glasgow,Scotland,2017.
[20]Hupez M,De Grève Z,Vallée F.A comparative assessment of a quasi-sequential and a sequential approach for distribution network stochastic analysis[C]//CIRED,Glasgow,Scotland,2017.
[21]Chen H,Wang Yurong,Li Ruomei,et al.Wind power forecasting based on refined LSTAR-GARCH model[C]//CIRED,Glasgow,Scotland,2017.
[22]Sande P,Danes M,Dekker T.ANDES:grid capacity planning using a bottom-up,profile-based load forecasting approach[C]//CIRED,Glasgow,Scotland,2017.
[23]Hiroyuki I,Tomihiro A,Takukan A,et al.Advancement in state grasping method of MV distribution network for short-term and mid-term planning[C]//CIRED,Glasgow,Scotland,2017.
[24]Berry J,Kazerooni A,Eves M.The impact of low carbon technologies on short-circuit levels in medium voltage networks[C]//CIRED,Glasgow,Scotland,2017.
[25]Edwards P,Berry J.Characterisation of 11kV fault level contributions based on substation load profile[C]//CIRED,Glasgow,Scotland,2017.
[26]杨德昌,赵肖余,何绍文,等.面向海量用户用电数据的集成负荷预测[J].电网技术,2018,42(9):2923-2929.Yang Dechang,Zhao Xiaoyu,He Shaowen,et al.Integrated load forecasting for massive users'electricity consumption data[J].Power System Technology,2018,42(9):2923-2929(in Chinese).
[27]杨志宏,周斌,张海滨,等.智能变电站自动化系统新方案的探讨[J].电力系统自动化,2016,40(14):1-7.Yang Zhihong,Zhou Bin,Zhang Haibin,et al.Discussion on novel scheme of smart substation automation system[J].Automation of Electric Power Systems,2016,40(14):1-7(in Chinese).
[28]胡军,尹立群,李振,等.基于大数据挖掘技术的输变电设备故障诊断方法[J].高电压技术,2017,43(11):3690-3697.Hu Jun,Yin Liqun,Li Zhen,et al.Fault diagnosis method for power transmission and transformation equipment based on big data mining technology[J].High Voltage Engineering,2017,43(11):3690-3697(in Chinese).
[29]叶琳浩,刘泽槐,张勇军,等.智能用电技术背景下的配电网运行规划研究综述[J].电力自动化设备,2018,38(5):154-163.Ye Linhao,Liu Zehuai,Zhang Yongjun,et al.Overview of distribution network operation planning in the background of intelligent power technology[J].Electric Power Automation Equipment,2018,38(5):154-163(in Chinese).
[30]王成山,王丹,周越.智能配电系统架构分析及技术挑战[J].电力系统自动化,2015,39(9):2-9.Wang Chengshan,Wang Dan,Zhou Yue.Framework analysis and technical challenges to smart distribution system[J].Automation of Electric Power Systems,2015,39(9):2-9(in Chinese).