电力建设
電力建設
전력건설
ELECTRIC POWER CONSTRUCTION
2015年
8期
130-134
,共5页
周海强%钱礼明%吴水军%陈晶%杨杨%万雄彪
週海彊%錢禮明%吳水軍%陳晶%楊楊%萬雄彪
주해강%전례명%오수군%진정%양양%만웅표
同步发电机%抛载试验%参数辨识%蚁群算法
同步髮電機%拋載試驗%參數辨識%蟻群算法
동보발전궤%포재시험%삼수변식%의군산법
synchronous generator%load reject test%parameter identification%ant colony optimization
传统抛载法辨识同步发电机参数时,一般假设抛载前后励磁电压保持不变,但考虑到励磁系统调节作用,这一假设在实际工程中很难满足,为此,提出了计及励磁电压变化的抛载试验参数辨识方法。将试验中实测励磁电压作为励磁绕组输入激励,求解励磁绕组及阻尼绕组的微分方程组模型,计算出励磁电流的理论值,将其与励磁电流实测值相比较,以偏差最小作为优化目标,选取发电机参数典型值为参数初值,应用蚁群算法辨识d轴参数;接着,根据d轴定子磁链求出定子电压q轴分量,并根据实测定子电压,推算出定子电压d轴分量,据此辨识q轴参数。对云南某电站水轮发电机的辨识结果验证了改进方法的有效性,与现有方法相比,改进算法具有更高的辨识精度,对试验条件限制较少,有着良好的工程应用前景。
傳統拋載法辨識同步髮電機參數時,一般假設拋載前後勵磁電壓保持不變,但攷慮到勵磁繫統調節作用,這一假設在實際工程中很難滿足,為此,提齣瞭計及勵磁電壓變化的拋載試驗參數辨識方法。將試驗中實測勵磁電壓作為勵磁繞組輸入激勵,求解勵磁繞組及阻尼繞組的微分方程組模型,計算齣勵磁電流的理論值,將其與勵磁電流實測值相比較,以偏差最小作為優化目標,選取髮電機參數典型值為參數初值,應用蟻群算法辨識d軸參數;接著,根據d軸定子磁鏈求齣定子電壓q軸分量,併根據實測定子電壓,推算齣定子電壓d軸分量,據此辨識q軸參數。對雲南某電站水輪髮電機的辨識結果驗證瞭改進方法的有效性,與現有方法相比,改進算法具有更高的辨識精度,對試驗條件限製較少,有著良好的工程應用前景。
전통포재법변식동보발전궤삼수시,일반가설포재전후려자전압보지불변,단고필도려자계통조절작용,저일가설재실제공정중흔난만족,위차,제출료계급려자전압변화적포재시험삼수변식방법。장시험중실측려자전압작위려자요조수입격려,구해려자요조급조니요조적미분방정조모형,계산출려자전류적이론치,장기여려자전류실측치상비교,이편차최소작위우화목표,선취발전궤삼수전형치위삼수초치,응용의군산법변식d축삼수;접착,근거d축정자자련구출정자전압q축분량,병근거실측정자전압,추산출정자전압d축분량,거차변식q축삼수。대운남모전참수륜발전궤적변식결과험증료개진방법적유효성,여현유방법상비,개진산법구유경고적변식정도,대시험조건한제교소,유착량호적공정응용전경。
In load rejection test ̄based parameters identification of synchronous machine, the excitation voltage was conventionally assumed to keep constant during the test. But considering the regulation effects of the excitation control systems, it was hard to be satisfied. Therefore, an improved load rejection test ̄based parameters identification method for synchronous machine was proposed with considering the variation of excitation voltage. The measured excitation voltage was taken as input excitation to the field winding. The differential algebraic equations of the field and damper windings were solved. The field winding current was obtained and compared with the measured curve. Taking the minimum error as optimization objective and the classical parameters of synchronous generators as initial values, ant colony optimization was utilized to identify the parameters of d axis. Then the stator voltage in q axis was calculated through the stator flux in d axis. According to the measured stator voltage, the stator voltage in d axis was derived and used to identify the parameters of q axis. The parameters identification results of a generator in a hydraulic power plant in Yunnan power grid validated the effectiveness of the improved method. Compared with the existed method, the improved method has better accuracy and fewer restrictions about test conditions, which has a good prospect of engineering application.