中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2012年
4期
11-19
,共9页
陈树勇%王聪%申洪%高宁超%朱琳%兰华
陳樹勇%王聰%申洪%高寧超%硃琳%蘭華
진수용%왕총%신홍%고저초%주림%란화
双馈式风力发电机%聚类算法%状态变量%动态等值%电力系统分析
雙饋式風力髮電機%聚類算法%狀態變量%動態等值%電力繫統分析
쌍궤식풍력발전궤%취류산법%상태변량%동태등치%전력계통분석
doubly-fed wind generators(DFWGs)%clustering algorithm%state variables%dynamic equivalence%power system analysis
风电机组在实际运行时,受尾流效应等因素影响,运行状态并不相同。为提高风电场实际运行模型的精度,提出了一种适用于双馈式风力发电机的动态等值建模方法。它将风电机组的状态变量矩阵作为分群指标,利用聚类算法将矩阵中的数据进行分群,将同群的风电机组等值成为一台风力发电机,实现了风电场的动态等值。利用PSD/BPA平台,对系统侧故障与风速变化2种情况仿真,并与传统等值方法及风电场详细模型对比。仿真结果表明,采用仿真过程中的状态变量作为分群指标是合理的,该模型与详细模型的动态特性基本一致,可以用来描述风电场的实际运行状态。
風電機組在實際運行時,受尾流效應等因素影響,運行狀態併不相同。為提高風電場實際運行模型的精度,提齣瞭一種適用于雙饋式風力髮電機的動態等值建模方法。它將風電機組的狀態變量矩陣作為分群指標,利用聚類算法將矩陣中的數據進行分群,將同群的風電機組等值成為一檯風力髮電機,實現瞭風電場的動態等值。利用PSD/BPA平檯,對繫統側故障與風速變化2種情況倣真,併與傳統等值方法及風電場詳細模型對比。倣真結果錶明,採用倣真過程中的狀態變量作為分群指標是閤理的,該模型與詳細模型的動態特性基本一緻,可以用來描述風電場的實際運行狀態。
풍전궤조재실제운행시,수미류효응등인소영향,운행상태병불상동。위제고풍전장실제운행모형적정도,제출료일충괄용우쌍궤식풍력발전궤적동태등치건모방법。타장풍전궤조적상태변량구진작위분군지표,이용취류산법장구진중적수거진행분군,장동군적풍전궤조등치성위일태풍력발전궤,실현료풍전장적동태등치。이용PSD/BPA평태,대계통측고장여풍속변화2충정황방진,병여전통등치방법급풍전장상세모형대비。방진결과표명,채용방진과정중적상태변량작위분군지표시합리적,해모형여상세모형적동태특성기본일치,가이용래묘술풍전장적실제운행상태。
The running states of wind generators are not identical due to the influence of some factors(such as wake effect).In order to improve the precision of the wind farm model for the actual operation,a dynamic equivalence modeling method that is suitable for doubly-fed wind generators was proposed.The state variables of matrix of the wind generators were adopted as cluster-dependent index.By using clustering algorithms,the data of matrix were divided into groups and the wind turbine generators in the same group were equivalent as a wind generator,therefore,the dynamic equivalence of the wind farm was realized.The faults at power system side and the change of wind velocity were simulated on PSD/BPA power system analysis platform and the results were compared to that of the traditional method.The simulation results show that it is reasonable that the state variables of simulation process were considered as cluster-dependent index.The dynamic characteristic of the new model is the same to that of the detailed model and it can be applied to describe the actual states of a wind farm.