电机与控制应用
電機與控製應用
전궤여공제응용
ELECTRIC MACHINES & CONTROL APPLICATION
2015年
3期
45-50
,共6页
刘江涛%王海云%罗庆%罗建春%宋钢
劉江濤%王海雲%囉慶%囉建春%宋鋼
류강도%왕해운%라경%라건춘%송강
永磁同步风力发电机%强风控制模型%PI控制%短期出力稳定控制
永磁同步風力髮電機%彊風控製模型%PI控製%短期齣力穩定控製
영자동보풍력발전궤%강풍공제모형%PI공제%단기출력은정공제
permanent magne synchronous generator wind turbine%strong wind control model%PI control%output power control of short-term
以Elman神经网络算法的风速预测方法作为基础,建立了单台永磁直驱同步发电机( PMSG)风电机组在强风波动条件下运行的数学模型。该模型能够较好地反映实际风电场风速的随机性和突变性。考虑到传统的出力规律与风电在强风模型下出力规律的映射关系,利用传统的出力规律与风电在强风模型下出力规律之间的偏差作为参考值,并引入对PMSG风电机组桨距角、转速的PI控制策略,基于此并考虑到电网调度对风电机组出力的要求,建立了对单台PMSG风电机组在强风波动条件下短期出力进行控制的模型。进一步利用真实短期风速算例仿真,结果表明该模型能够在瞬时风速为25~35 m/s时对风力机出力进行有效平稳的控制。
以Elman神經網絡算法的風速預測方法作為基礎,建立瞭單檯永磁直驅同步髮電機( PMSG)風電機組在彊風波動條件下運行的數學模型。該模型能夠較好地反映實際風電場風速的隨機性和突變性。攷慮到傳統的齣力規律與風電在彊風模型下齣力規律的映射關繫,利用傳統的齣力規律與風電在彊風模型下齣力規律之間的偏差作為參攷值,併引入對PMSG風電機組槳距角、轉速的PI控製策略,基于此併攷慮到電網調度對風電機組齣力的要求,建立瞭對單檯PMSG風電機組在彊風波動條件下短期齣力進行控製的模型。進一步利用真實短期風速算例倣真,結果錶明該模型能夠在瞬時風速為25~35 m/s時對風力機齣力進行有效平穩的控製。
이Elman신경망락산법적풍속예측방법작위기출,건립료단태영자직구동보발전궤( PMSG)풍전궤조재강풍파동조건하운행적수학모형。해모형능구교호지반영실제풍전장풍속적수궤성화돌변성。고필도전통적출력규률여풍전재강풍모형하출력규률적영사관계,이용전통적출력규률여풍전재강풍모형하출력규률지간적편차작위삼고치,병인입대PMSG풍전궤조장거각、전속적PI공제책략,기우차병고필도전망조도대풍전궤조출력적요구,건립료대단태PMSG풍전궤조재강풍파동조건하단기출력진행공제적모형。진일보이용진실단기풍속산례방진,결과표명해모형능구재순시풍속위25~35 m/s시대풍력궤출력진행유효평은적공제。
We take the wind speed forecasting method of the Elman neural network algorithm as the foundation, establishing the mathematical model of operation when a single permanent magnet direct-drive ( PMSG) wind turbines under the condition of strong wind. Considering the mapping relation between the output power of the traditional law and the law of output power under the strong wind model, we used the deviation between the output law of the traditional and law of the output power under strong wind model as the reference, introducing the PI control strategy for PMSG wind turbines pitch Angle, rotation speed, so considering the requirement of power grid dispatch to output power, an single PMSG wind turbine of short-term output control under the condition of strong wind model is established. The further example simulation with real short-term wind speed show that the proposed model can effectively smooth control the output power of wind turbine when the instantaneous wind speed of 25 ~35 m/s.