电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2014年
20期
81-85
,共5页
双馈风力发电机%参数辨识%遗传算法
雙饋風力髮電機%參數辨識%遺傳算法
쌍궤풍력발전궤%삼수변식%유전산법
doubly-fed wind power generator%parameter identification%genetic algorithm
目前双馈式风力发电机(DFIG)为国内外风力发电机的主流机型。要研究大规模风电并网对电力系统可靠性和稳定性等方面产生的影响,必须要有准确的风力发电机的模型和参数。研究了双馈风力发电机的模型参数辨识方法。首先在Matlab/Simulink 环境中搭建了风力发电机并网的仿真模型,得到并网的实测数据。然后选用发电机的坐标系数学模型,在对模型进行可辨识性分析的基础上得到定子自感、定转子互感的表达式。最后利用遗传算法,并采用分步辨识策略,进一步辨识出转子初相位0θ角、定子自感、定转子互感、转子互感等风力发电机参数。为研究大规模风电并网等课题提供了可靠的理论依据。
目前雙饋式風力髮電機(DFIG)為國內外風力髮電機的主流機型。要研究大規模風電併網對電力繫統可靠性和穩定性等方麵產生的影響,必鬚要有準確的風力髮電機的模型和參數。研究瞭雙饋風力髮電機的模型參數辨識方法。首先在Matlab/Simulink 環境中搭建瞭風力髮電機併網的倣真模型,得到併網的實測數據。然後選用髮電機的坐標繫數學模型,在對模型進行可辨識性分析的基礎上得到定子自感、定轉子互感的錶達式。最後利用遺傳算法,併採用分步辨識策略,進一步辨識齣轉子初相位0θ角、定子自感、定轉子互感、轉子互感等風力髮電機參數。為研究大規模風電併網等課題提供瞭可靠的理論依據。
목전쌍궤식풍력발전궤(DFIG)위국내외풍력발전궤적주류궤형。요연구대규모풍전병망대전력계통가고성화은정성등방면산생적영향,필수요유준학적풍력발전궤적모형화삼수。연구료쌍궤풍력발전궤적모형삼수변식방법。수선재Matlab/Simulink 배경중탑건료풍력발전궤병망적방진모형,득도병망적실측수거。연후선용발전궤적좌표계수학모형,재대모형진행가변식성분석적기출상득도정자자감、정전자호감적표체식。최후이용유전산법,병채용분보변식책략,진일보변식출전자초상위0θ각、정자자감、정전자호감、전자호감등풍력발전궤삼수。위연구대규모풍전병망등과제제공료가고적이론의거。
Doubly-fed wind power generator (DFIG) type is the mainstream model of the wind turbine at home and abroad at present. To study the impact on reliability and stability of power system with large-scale wind power grid, it must have accurate model and parameters of wind turbine. Therefore, this paper studies the model parameter identification method of doubly-fed wind power generator. First, in the Matlab/Simulink environment, it sets up a simulation model for the wind turbine grid-connected and gets the measured data. Afterwards, by using the generator αβ coordinate system (mathematical) model, it analyzes the identifiability to illustrate the convergence for the proposed model, and then through the analysis of the mathematical model, gets an expression of stator self-induction and the mutual inductance. Finally, the rotor initial phase angleθ , stator self inductance, mutual inductance, and 0 mutual inductance between rotor and stator can be identified by using genetic algorithm with identification strategy step by step. It provides reliable theory for the study of large-scale wind power grid.