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电网技术  2013 

基于测量不确定度的日电量估计方法

, PP. 2788-2795

Keywords: 测量不确定度,直流潮流,电量估计,细菌群体趋药性

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Abstract:

随着智能电网的发展,电力企业对关口日电量及基于关口日电量的各种统计数据的准确性要求不断提高,为保证电能计量系统日电量的正确性,快速定位错误数据,提出一种基于测量不确定度理论,使用优化算法来对日电量进行估计的方法。首先,介绍了测量不确定度理论及其在电力系统中的应用,分析其用于电力系统的估计辨识的优势;其次,在给出的直流电量潮流计算模型和测量不确定度理论基础上确定了日电量的估计思路;最后,给出基于测量不确定度的日电量的评价函数,从而建立了基于测量不确定度的电量优化估计模型,给出了使用细菌群体趋药性(bacterialcolonychemotaxis,BCC)优化算法对日电量进行估计的步骤。通过IEEE39和IEEE118节点系统仿真算例验证了所提方法的有效性和可行性。

References

[1]  卢志刚,王浩锐,孙继凯.基于灵敏度分析的数据最优筛选与不良数据辨识[J].电网技术,2011,35(2):38-42.Lu Zhigang,Wang Haorui,Sun Jikai.Optimal data screening and bad data identification based on sensitive analysis[J].Power System Technology,2011,35(2):38-42(in Chinese).
[2]  陈艳波,何光宇,周京阳,等.基于改进转移潮流法的拓扑错误辨识方法[J].电网技术,2012,36(3):95-100.Chen Yanbo,He Guangyu,Zhou Jingyang,et al.An improved power flow transfer approach with enhanced ability to identify topology error and bad data[J].Power System Technology,2012,36(3):95-100(in Chinese).
[3]  刘兆平.测量不确定度评定及其在电学计量中的应用研究[D].南昌:南昌大学,2009.
[4]  姚诸香,郭烨,郭玉金,等.含指数型目标函数的电力系统抗差状态估计方法在江西电网中的应用[J].电网技术,2012,36(4):155-159.Yao Zhuxiang,Guo Ye,Guo Yujin,et al.Application of a robust state estimator based on maximum exponential square in Jiangxi Power System[J].Power System Technology,2012,36(4):155-159(in Chinese).
[5]  王晶,葛敏辉,孙宏斌,等.基于多源多时空规则的变电站拓扑检错[J].电网技术,2012,36(5):166-172.Wang Jing,Ge Minhui,Sun Hongbin,et al.A comprehensive rule based method for substation topology error identification[J].Power System Technology,2012,36(5):166-172(in Chinese).
[6]  王雅婷,何光宇,刘铠诚,等.一种求解状态估计问题的内点半定规划法[J].电网技术,2012,36(10):209-215.Wang Yating,He Guangyu,Liu Kaicheng,et al.An semi-definite programming method for state estimation problem[J].Power System Technology,2012,36(10):209-215(in Chinese).
[7]  于尔铿.电力系统状态估计[J].北京:水利电力出版社,1985:62-63.
[8]  倪育才.实用测量不确定度评定[M].北京:中国计量出版社,2004:16-25.
[9]  何光宇,董树锋.基于测量不确定度的电力系统状态估计:(一)结果评价[J].电力系统自动化,2009,33(19):21-24.He Guangyu,Dong Shufeng.Power system static-state estimation based on uncertainty of measurement:part one,result evaluation[J].Automation of Electric Power Systems,2009,33(19):21-24(in Chinese).
[10]  何光宇,董树锋.基于测量不确定度的电力系统状态估计:(二)方法研究[J].电力系统自动化,2009,33(20):32-36.He Guangyu,Dong Shufeng.Power system static-state estimation based on uncertainty of measurement:part two,a new method[J].Automation of Electric Power Systems,2009,33(20):32-36(in Chinese).
[11]  何光宇,董树锋.基于测量不确定度的电力系统状态估计:(三)算法比较[J].电力系统自动化,2009,33(21):28-31.He Guangyu,Dong Shufeng.Power system static-state estimation based on uncertainty of measurement:part three,algorithms compared[J].Automation of Electric Power Systems,2009,33(21): 28-31(in Chinese).
[12]  王昌立.电力系统直流法潮流计算BASIC程序[J].计算机应用研究,1984(3):66-71.Wang Changli.Power system direct current method power flow BASIC program[J].Computer Application and Research,1984(3):66-71(in Chinese).
[13]  卢志刚,张宗伟.基于量测函数向量线性相关的网络可观测性分析[J].电网技术,2007,31(17):51-55.Lu Zhigang,Zhang Zongwei.Network observability analysis based on linear dependence between measurement function vectors[J].Power System Technology,2007,31(17):51-55(in Chinese).
[14]  Muller S D,Marchetto J,Airaghi S,et al.Optimization based on bacterial chemotaxis[J].IEEE Transactions on Evolutionary Computation,2002,6(1):16-29.
[15]  Li W W,Wang H,Zou Z J,et al.Function optimization method based on bacterial colony chemotaxis[J].Journal of Circuits and System,2005,10(1):58-63.

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