面向故障暂态建模的光伏并网逆变器控制器参数辨识
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(1.国网江苏省电力公司电力科学研究院, 江苏 南京 211103;2.国家电力调度控制中心,北京 100031)

作者简介:

孔祥平(1988—),男,博士,工程师,研究方向为电力系统继电保护与控制。E-mail:kongxphust@163.com

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国家电网公司科技项目:“适应高渗透率分布式电源接入的配电网继电保护技术研究”


Controller parameter identification of the grid connected PV inverter for fault transient modeling
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(1. State Grid Jiangsu Electric Power Company Research Institute, Nanjing 211103, China;2. National Electric Power Dispatching and Control Center, Beijing 100031, China)

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    摘要:

    为了构建电网故障情况下高可信度的光伏电源暂态等效模型,为含光伏电源的电网故障特性分析和继电保护研究奠定基础,提出了一种面向故障暂态建模的光伏并网逆变器的控制器参数辨识方法。该参数辨识方法以差分进化算法为基础,不仅可以辨识出PI调节器参数,也能准确辨识出限幅环节参数,以弥补现有控制器参数辨识方法的不足,从而确保光伏电源故障暂态建模的准确性。建立了PI调节器参数和限幅环节参数的分阶段辨识流程,并采用理论计算方法确定了初始种群中各解向量的初始值,以加快待辨识参数收敛到真实值的速度,提高控制器参数的辨识效率。

    Abstract:

    In order to build a highly reliable equivalent transient model of PV power generator under grid fault, as well as establish a solid basis for the fault feature and relay protection study of the power grid with PV power generators, a controller parameter identification method of the grid connected PV inverter for fault transient modeling is proposed. The proposed parameter identification method is based on the differential evolution algorithm. With the proposed method, both the proportional gains and integral gains of the PI regulators and the limiter values can be correctly identified, which can make up the shortage of traditional controller parameter identification methods and ensure the accuracy of the fault transient modeling of the PV power generator. Moreover, the stepwise identification procedure of controller parameters is put forward, and the initial values of the initial population are set according to the theoretical calculation, to improve the convergence rate of the identified parameters and efficiency of the identification method.

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孔祥平,袁宇波,阮思烨,等.面向故障暂态建模的光伏并网逆变器控制器参数辨识[J].电力系统保护与控制,2017,45(11):65-72.[KONG Xiangping, YUAN Yubo, RUAN Siye, et al. Controller parameter identification of the grid connected PV inverter for fault transient modeling[J]. Power System Protection and Control,2017,V45(11):65-72]

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  • 收稿日期:2016-06-03
  • 最后修改日期:2016-08-15
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  • 在线发布日期: 2017-05-31
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