电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2012年
17期
50-55
,共6页
伍双喜%吴文传%张伯明%孙宏斌
伍雙喜%吳文傳%張伯明%孫宏斌
오쌍희%오문전%장백명%손굉빈
参数辨识%可辨识性分析%零相移滤波器%电力系统
參數辨識%可辨識性分析%零相移濾波器%電力繫統
삼수변식%가변식성분석%령상이려파기%전력계통
parameter identification%identifiability analysis%zero phase-shift filter%power system
研究了参数的可辨识性分析、扰动类型的选择、相量测量单元量测数据的滤波和实测功角恒定偏差对同步发电机参数辨识的影响等问题。提出以H阵的条件数作为参数的可辨识性指标,用以定量描述参数的辨识条件,以同时考虑模型结构和扰动深度等因素对参数可辨识性的影响。从理论上分析了不对称扰动数据的正序分量可用于同步发电机的参数辨识,并用实测数据进行了验证。根据对发电机动态特性的激发程度,合理地选择扰动类型;从电子信息科学领域引入一种零相移的数字滤波方法,解决了传统滤波器给量测信号引入相移的问题。总结了现有的功角测量方法,指出直接法测得的功角与真实功角可能存在恒定偏差,并研究了这一偏差对参数辨识结果的影响。实际算例验证了所述方法的有效性。
研究瞭參數的可辨識性分析、擾動類型的選擇、相量測量單元量測數據的濾波和實測功角恆定偏差對同步髮電機參數辨識的影響等問題。提齣以H陣的條件數作為參數的可辨識性指標,用以定量描述參數的辨識條件,以同時攷慮模型結構和擾動深度等因素對參數可辨識性的影響。從理論上分析瞭不對稱擾動數據的正序分量可用于同步髮電機的參數辨識,併用實測數據進行瞭驗證。根據對髮電機動態特性的激髮程度,閤理地選擇擾動類型;從電子信息科學領域引入一種零相移的數字濾波方法,解決瞭傳統濾波器給量測信號引入相移的問題。總結瞭現有的功角測量方法,指齣直接法測得的功角與真實功角可能存在恆定偏差,併研究瞭這一偏差對參數辨識結果的影響。實際算例驗證瞭所述方法的有效性。
연구료삼수적가변식성분석、우동류형적선택、상량측량단원량측수거적려파화실측공각항정편차대동보발전궤삼수변식적영향등문제。제출이H진적조건수작위삼수적가변식성지표,용이정량묘술삼수적변식조건,이동시고필모형결구화우동심도등인소대삼수가변식성적영향。종이론상분석료불대칭우동수거적정서분량가용우동보발전궤적삼수변식,병용실측수거진행료험증。근거대발전궤동태특성적격발정도,합리지선택우동류형;종전자신식과학영역인입일충령상이적수자려파방법,해결료전통려파기급량측신호인입상이적문제。총결료현유적공각측량방법,지출직접법측득적공각여진실공각가능존재항정편차,병연구료저일편차대삼수변식결과적영향。실제산례험증료소술방법적유효성。
The key issues of phase measurement unit (PMU) based parameter identification are studied, including identifiability analysis of parameters, selection of disturbance types, measurement data filtering of PMU, and impacts of permanent bias in power angle measurement on parameter identification. Firstly, condition number of matrix H is taken as the index which can quantitatively describe identification condition. The index can consider the influence on identifiability brought by both model structure and degree of disturbance. Secondly, the fact that positive sequence component derived from asymmetric disturbance in power system can be used for generator parameter identification, is verified by both theory analysis and numeric test using measured disturbance. Some suggestions for disturbance selection are given according to the depth of fault. Then, a kind of zero phase-shift filtering method is introduced to overcome phase shift brought by traditional digital filter. Finally, power angle measurement methods are summarized, and the effect of permanent bias exists in measured power angle to identification result is analyzed. Test results of some actual case studies demonstrate the validity of the proposed method.