With intermittence and stochastics of wind power largely introduced into power systems, power system stability analysis and control is in urgent need of reliable wind farm models. Considering the superiority of wide-a...With intermittence and stochastics of wind power largely introduced into power systems, power system stability analysis and control is in urgent need of reliable wind farm models. Considering the superiority of wide-area measurement systems, this paper develops a novel methodology for practical synchrophasor measurement-based modeling and parameter identification of wind farms. For the sake of preserving basic structural characteristics and control patterns simultaneously, a comprehensive wind farm model is constructed elaborately. To improve the efficiency of the identification procedure,dominant parameters are classified and selected by trajectory sensitivity analysis. Furthermore, an improved genetic algorithm is proposed to strengthen the capability of global optimization. The test results on the WECC benchmark system and the CEPRI 36-bus system demonstrate the effectiveness and reliability of the proposed modeling and identification methodology.展开更多
传统的直驱发电系统参数辨识主要是对其变流器PI参数或本体参数进行辨识,而其辨识结果无法描述直驱发电系统低电压穿越过程的动态特性。为了获得准确的直驱风力发电系统低电压穿越(low voltage ride through,LVRT)模型参数以满足直驱发...传统的直驱发电系统参数辨识主要是对其变流器PI参数或本体参数进行辨识,而其辨识结果无法描述直驱发电系统低电压穿越过程的动态特性。为了获得准确的直驱风力发电系统低电压穿越(low voltage ride through,LVRT)模型参数以满足直驱发电并网系统的安全可靠的要求,提出一种考虑恢复暂态过程的直驱发电系统的低电压穿越模型参数解耦辨识方法。首先,基于直驱发电系统低电压穿越输出曲线特性,建立了直驱发电系统低电压穿越控制方程,并分析了对网侧PI控制参数和LVRT参数辨识的必要性。其次,针对网侧内环PI控制参数与LVRT参数具有耦合关系的问题,提出直驱发电系统低电压穿越模型参数解耦辨识策略,并基于灵敏度分析得到直驱发电系统各个参数的最优辨识工况。最后利用差分进化算法辨识内环控制器参数与LVRT参数,仿真算例表明所提辨识方法的有效性。展开更多
基金supported by National Basic Research Program of China(No.2012CB215206)National Natural Science Foundation of China(No.51107061)
文摘With intermittence and stochastics of wind power largely introduced into power systems, power system stability analysis and control is in urgent need of reliable wind farm models. Considering the superiority of wide-area measurement systems, this paper develops a novel methodology for practical synchrophasor measurement-based modeling and parameter identification of wind farms. For the sake of preserving basic structural characteristics and control patterns simultaneously, a comprehensive wind farm model is constructed elaborately. To improve the efficiency of the identification procedure,dominant parameters are classified and selected by trajectory sensitivity analysis. Furthermore, an improved genetic algorithm is proposed to strengthen the capability of global optimization. The test results on the WECC benchmark system and the CEPRI 36-bus system demonstrate the effectiveness and reliability of the proposed modeling and identification methodology.
文摘传统的直驱发电系统参数辨识主要是对其变流器PI参数或本体参数进行辨识,而其辨识结果无法描述直驱发电系统低电压穿越过程的动态特性。为了获得准确的直驱风力发电系统低电压穿越(low voltage ride through,LVRT)模型参数以满足直驱发电并网系统的安全可靠的要求,提出一种考虑恢复暂态过程的直驱发电系统的低电压穿越模型参数解耦辨识方法。首先,基于直驱发电系统低电压穿越输出曲线特性,建立了直驱发电系统低电压穿越控制方程,并分析了对网侧PI控制参数和LVRT参数辨识的必要性。其次,针对网侧内环PI控制参数与LVRT参数具有耦合关系的问题,提出直驱发电系统低电压穿越模型参数解耦辨识策略,并基于灵敏度分析得到直驱发电系统各个参数的最优辨识工况。最后利用差分进化算法辨识内环控制器参数与LVRT参数,仿真算例表明所提辨识方法的有效性。
