基于准实时数据的智能配电网状态估计

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (3767 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract A novel distribution management system (DMS) architecture combined with the data mining technology and the relevant state estimation for smart distribution networks is introduced due to the fact that the measurement in the root node is highly accurate while the measurement redundancies of the rest nodes are low,some of which even have no measurements.The method proposed in this paper takes use of the quasi real-time measurements to form the objective function.The historical load curves are adopted as the inequality constraints.Unlike the traditional distribution state estimation,the proposed method is suitable for the distribution network with few on-line quasi real-time measurements.This method is a kind of state estimation whose structure is similar to the optimal power flow.So it can be solved with the interior point method.The case study is carried out with a real 9-node distribution network and the results are discussed in detail.At the same time,a widely used 33-node distribution network is also used for further validation.Simulation results show that the calculating speed and the convergence of the proposed method can realize the online state estimation in the smart distribution network.The proposed method produces satisfactory estimations in the distribution networks with a few on-line quasi real-time measurements.Especially,the current estimation meets the requirement for advanced smart distribution power applications.

Key words： State estimation smart distribution network data mining interior point method

Received: 14 January 2015 Published: 21 January 2016

PACS:

TM764

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Li Bin
	Du Mengyuan
	Zhu Yun
	Wei Hua

Cite this article:

Li Bin,Du Mengyuan,Zhu Yun等. A State Estimator for Smart Distribution Networks with Quasi-real Time Data[J]. Transactions of China Electrotechnical Society, 2016, 31(1): 34-44.

URL:

https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I1/34

[1] Reddy K S,Kumar M,Mallick T K,et al.A review of integration,control,communication and metering (iccm) of renewable energy based smart grid[J].Renewable and Sustainable Energy Reviews,2014,38(5):180-192.
[2] López G,Moreno J I,Amarís H,et al.Paving the road toward smart grids through large-scale advanced metering infrastructures[J].Electric Power Systems Research,2015,120:194-205.
[3] Paul S,Rabbani M S,Kundu R K,et al.A review of smart technology (smart grid) and its features[C]//Proceedings of 2014 1st International Conference on Non-Conventional Energy (ICONCE),Kalyani,2014:200-203.
[4] 李兴源,魏巍,王渝红,等.坚强智能电网发展技术的研究[J].电力系统保护与控制,2009,37(17):1-7.
Li Xingyuan,Wei Wei,Wang Yuhong,et al.Study on the development and technology of strong smart grid[J].Power System Protection and Control,2009,37(17):1-7.
[5] 张建华,曾博,张玉莹,等.主动配电网规划关键问题与研究展望[J].电工技术学报,2014,29(2):13-23.
Zhang Jianhua,Zeng Bo,Zhang Yuying,et al.Key issues and research prospects of active distribution network planning[J].Transactions of China Electrotechnical Society,2014,29(2):13-23.
[6] Baran M,Mcdermott T E.State estimation for real-time monitoring of distribution feeders[C]//2009 IEEE Power & Energy Society General Meeting,Calgary,2009:1-4.
[7] Manitsas E,Singh R,Pal B C,et al.Distribution system state estimation using an artificial neural network approach for pseudo measurement modeling[J].IEEE Transactions on Power Systems,2012,27(4):1888-1896.
[8] 徐玮韡,刘东,柳劲松,等.考虑质量标签的多数据源配电网状态估计算法[J].电力自动化设备,2011,31(4):78-81.
Xu Weiwei,Liu Dong,Liu Jinsong,et al.State estimation based on quality tag for distribution network with multiple data source[J].Electric Power Automation Equipment,2011,31(4):78-81.
[9] Wu Jianzhong,He Yan,Jenkins N.A robust state estimator for medium voltage distribution networks[J].IEEE Transactions on Power Systems,2013,28(2):1008-1016.
[10]Haughton D A,Heydt G T.A linear state estimation formulation for smart distribution systems[J].IEEE Transactions on Power Systems,2013,28(2):1187-1195.
[11]Therrien F,Kocar I,Jatskevich J.A unified distribution system state estimator using the concept of augmented matrices[J].IEEE Transactions on Power Systems,2013,28(3):3390-3400.
[12]Pilo F,Pisano G,Soma G G.Robust distribution state estimation for active networks[C]//43rd International Universities Power Engineering Conference,Padova,2008:1-6.
[13]Carmona-Delgado C,Romero-Ramos E,Riquelme-Santos J.Fast and reliable distribution load and state estimator[J].Electric Power Systems Research,2013,101(7):110-124.
[14]Wu Wenchuan,Ju Yuntao,Zhang Boming,et al.A distribution system state estimator accommodating large number of ampere measurements[J].International Journal of Electrical Power & Energy Systems,2012,43(1):839-848.
[15]Harrington P.Machine Learning in Action[M].New York:Manning Publications Company,2012.
[16]Mitchell T M.Machine Learning[M].New York:McGraw-Hill Inc.,1997.
[17]Ali A,Antonio G E.Power system state estimation:theory and implementation[M].New York:Basel,2004.
[18]Wei H,Sasaki H,Kubokawa J,et al.An interior point nonlinear programming for optimal power flow problems with a novel data structure[J].IEEE Transactions on Power Systems,1998,13(3):870-877.
[19]程浩忠,袁青山,汪一华,等.基于等效电流量测变换的电力系统状态估计方法[J].电力系统自动化,2000,24(14):25-29.
Cheng Haozhong,Yuan Qingshan,Wang Yihua,et al.A state estimation method of power systems based on equivalent current measurement transformation[J].Automation of Electric Power Systems,2000,24(14):25-29.
[20]Goswami S K,Basu S K.A new algorithm for the reconfiguration of distribution feeders for loss minimization[J].IEEE Transactions on Power Delivery,1992,7(3):1484-1491.
[21]靳小龙,穆云飞,贾宏杰,等.面向最大供电能力提升的配电网主动重构策略[J].电工技术学报,2014,29(12):137-147.
Jin Xiaolong,Mu Yunfei,Jia Hongjie,et al.An active reconfiguration strategy for distribution network based on maximum power supply capability[J].Transactions of China Electrotechnical Society,2014,29(12):137-147.
[22]张浩,和敬涵,薄志谦,等.基于动态规划算法的故障恢复重构[J].电工技术学报,2011,26(12):162-167.
Zhang Hao,He Jinghan,Bo Zhiqian,et al.Service restoration based on dynamic programming[J].Transactions of China Electrotechnical Society,2011,26(12):162-167.
[23]熊文,武鹏,余浩斌.基于负荷测录系统的配电网状态估计[J].电力系统保护与控制,2012,40(7):84-87.
Xiong Wen,Wu Peng,Yu Haobin.State estimation of distribution network by the load monitor system[J].Power System Protection and Control,2012,40(7):84-87.
[24]黄伟,庞琳,曹彬,等.基于分区解耦的配电网状态估计的分布式并行计算[J].电力系统保护与控制,2014,42(15):45-51.
Huang Wei,Pang Lin,Cao Bin,et al.Parallel and distributed computing for an area-decoupled state estimation method for distribution systems[J].Power System Protection and Control,2014,42(15):45-51.