电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2014年
10期
61-65
,共5页
薛安成%张兆阳%张建民%常乃超%毕天姝
薛安成%張兆暘%張建民%常迺超%畢天姝
설안성%장조양%장건민%상내초%필천주
线路参数%参数估计%增广状态估计%最大测点正常率%抗差状态估计%量测误差
線路參數%參數估計%增廣狀態估計%最大測點正常率%抗差狀態估計%量測誤差
선로삼수%삼수고계%증엄상태고계%최대측점정상솔%항차상태고계%량측오차
transmission line parameters%parameter estimation%augmented state estimation%maximum normal measurement rate%robust state estimation%measurement error
线路参数误差会导致状态估计不准确,进而影响能量管理系统的高级应用。基于加权最小二乘的增广状态估计法是一种有代表性的线路参数估计方法,但该方法存在易受量测误差影响等问题。基于测量不确定度理论,提出了一种以最大测点正常率(MNMR)为目标函数的线路参数增广状态估计新方法。与传统增广状态估计方法不同,该方法基于测量不确定度信息,目标是使测点的正常率最大,同时考虑电力系统实际的潮流和物理约束信息。此外,采用高斯核密度估计和点估计方法来提取参数估计结果的统计特征。仿真实验表明,所述方法继承了 MN MR 抗差状态估计的“抗差”特性,辨识结果不易受量测误差影响,能得到更加合理的线路参数。
線路參數誤差會導緻狀態估計不準確,進而影響能量管理繫統的高級應用。基于加權最小二乘的增廣狀態估計法是一種有代錶性的線路參數估計方法,但該方法存在易受量測誤差影響等問題。基于測量不確定度理論,提齣瞭一種以最大測點正常率(MNMR)為目標函數的線路參數增廣狀態估計新方法。與傳統增廣狀態估計方法不同,該方法基于測量不確定度信息,目標是使測點的正常率最大,同時攷慮電力繫統實際的潮流和物理約束信息。此外,採用高斯覈密度估計和點估計方法來提取參數估計結果的統計特徵。倣真實驗錶明,所述方法繼承瞭 MN MR 抗差狀態估計的“抗差”特性,辨識結果不易受量測誤差影響,能得到更加閤理的線路參數。
선로삼수오차회도치상태고계불준학,진이영향능량관리계통적고급응용。기우가권최소이승적증엄상태고계법시일충유대표성적선로삼수고계방법,단해방법존재역수량측오차영향등문제。기우측량불학정도이론,제출료일충이최대측점정상솔(MNMR)위목표함수적선로삼수증엄상태고계신방법。여전통증엄상태고계방법불동,해방법기우측량불학정도신식,목표시사측점적정상솔최대,동시고필전력계통실제적조류화물리약속신식。차외,채용고사핵밀도고계화점고계방법래제취삼수고계결과적통계특정。방진실험표명,소술방법계승료 MN MR 항차상태고계적“항차”특성,변식결과불역수량측오차영향,능득도경가합리적선로삼수。
The errors of transmission line parameters will lead to inaccurate results of state estimation (SE) of the energy management system (EMS),thus affecting other advanced applications.The augmented state estimation (ASE) based on weighted least square is one of the representative estimation methods for transmission line parameters,but this method is prone to problems such as the measurement error.Based on the theory of uncertainty in measurement,a novel parameter estimation method,the ASE with the maximum normal measurement rate (MNMR) as its obj ective function,is proposed.Unlike the traditional ASE method,the proposed method is aimed at maximizing the normal measurement rate (NMR) based on the information of uncertainty in measurement,while taking into account the actual power flow and physical constraints of the power system. Furthermore, Gauss kernel density estimation and point estimation are used to extract the statistical characteristics of estimation results.Simulation results show that the proposed method has inherited the robust characteristic of MNMR robust SE,which is not easily affected by measurement error and can yield more rational parameters.