基于电流幅值量测的微电网状态估计
State Estimation of Micro-Grid Based on Current Amplitude Measurement
DOI: 10.12677/SG.2015.53015, PDF, HTML, XML, 下载: 2,563  浏览: 6,487 
作者: 丛 昊, 赵向阳:北京航空航天大学自动化科学与电气工程学院,北京 ;罗 文:江西仪能新能源微电网协同创新有限公司,江西 吉安
关键词: 微电网能量管理状态估计电流幅值Micro-Grid Energy Management State Estimation Current Amplitude
摘要: 在微电网能量管理中,实时数据库中数据的可靠性和准确性是进行控制、操作及准确分析的基础。数据采集系统中采集的实时数据不齐全以及量测数据不精确是潮流计算等高级分析功能难以解决的,因此对微电网实时数据进行状态估计势在必行。本文在分析了状态估计基本原理的基础上,采用以支路电流的实部和虚部为状态变量的状态估计方法,对微电网中7条支路进行状态估计,其理论估计的支路电流幅值和实际值偏差处于可接受范围之内。
Abstract: The reliability and accuracy of real-time data in the database is the foundation of control, operation and accurate analysis in the micro-grid energy management. The data collection of the real- time data acquisition system is not complete and there are inaccurate measurements; it’s difficult for the power flow calculation and other advanced analysis functions to resolve those problems. So the micro-grid state estimation for the real-time data is imperative. In this paper, seven bran- ches in the micro-grid are analyzed in state estimation after the analysis of the basic principles of state estimation using the real and imaginary parts of the current in branches as the state variables. The deviation of theoretical estimate of the branch current amplitude and the actual value is within the acceptable range.
文章引用:丛昊, 赵向阳, 罗文. 基于电流幅值量测的微电网状态估计[J]. 智能电网, 2015, 5(3): 123-128. http://dx.doi.org/10.12677/SG.2015.53015

参考文献

[1] 郑漳华, 艾芊 (2008) 微电网的研究现状及在我国的应用前景. 电网技术, 16, 27-31.
[2] Lu, C.N., Teng, J.H. and Liu, W.H.E. (1995) Distribution system state estimation. IEEE Transactions on Power Systems, 10, 229-240.
[3] Baran, M.E. and Kelle, A.W. (1994) State estimation for real-time monitoring of distribution systems. IEEE Transactions on Power Systems, 9, 1601-1609.
[4] 于尔铿, 刘广一, 周京阳 (1998) 能量管理系统(EMS). 科学出版社, 北京.
[5] 于尔铿 (1985) 电力系统状态估计. 水利电力出版社, 北京.
[6] 张建华, 黄伟 (2010) 微电网运行控制与保护技术. 中国电力出版社, 北京.
[7] 刘振亚 (2010) 智能电网技术. 中国电力出版社, 北京.
[8] 张永健 (2009) 电网监控与调度自动化. 中国电力出版社, 北京.
[9] Lin, W.M. and Teng, J.H. (1996) Distribution fast decoupled state estimation by measurement pairing. IEE Proceedings—Generation, Transmission and Distribution, 143, 43-48.
[10] Wang, H.B. and Schulz, N.N. (2004) A revised branch current-based distribution system state estimation algorithm and meter placement impact. IEEE Transaction on Power Systems, 19, 207-213.
[11] 张伯明, 陈寿孙, 严正 (2007) 高等电力网络分析. 清华大学出版社, 北京.
[12] 张德喜, 赵磊生 (2010) MATLAB语言程序设计教程. 中国铁道出版社, 北京.
[13] 原思聪 (2011) MATLAB语言与应用技术. 国防工业出版社, 北京.