首页|基于相间短路故障电流的同步发电机参数辨识方法

基于相间短路故障电流的同步发电机参数辨识方法

扫码查看
同步发电机的精确参数辨识是保证电力系统暂稳态分析的重要基础.本文首先在同步发电机等效数学模型、序网图、等效电路的基础上,推导了其通过外部阻抗相间短路故障情况下的暂态电流表达式;然后以短路试验与辨识得到参数计算的短路电流间标准化误差平方和最小目标函数,采用增加权重系数的改进鲸鱼优化算法,提出基于相间短路故障电流的同步发电机参数辨识方法;最后在某实际同步发电机上进行短路试验,验证了所提方法的正确性与有效性.本文方法通过增大同步发电机的激励能量,采用大扰动过程中的故障电流作为原始数据,以提高辨识的准确性;同时结合短路电流模型非线性特点,对鲸鱼优化算法进行改进,能更好地适应非线性参数辨识.
Parameter identification of synchronous generator based on phase to phase fault current
Accurate parameter identification of synchronous generators is an important foundation for ensuring tran-sient stability analysis of power systems.Firstly,based on the equivalent mathematical model,sequence network diagram and equivalent circuit of synchronous generator,the expression of transient current under the condition of phase to phase short circuit fault through external impedance is derived.Then,using short-circuit tests and identifi-cation to obtain the minimum objective function of the square sum of standardized errors between short-circuit cur-rents,an improved whale optimization algorithm with increased weight coefficients is adopted to propose a parameter identification method for synchronous generators based on phase to phase short-circuit fault currents.Finally,a short-circuit test was conducted on an actual synchronous generator to verify the correctness and effectiveness of the proposed method.The method in this paper improves the accuracy of identification by increasing the excitation en-ergy of synchronous generator and using the fault current in the process of large disturbance as the original data.At the same time,combining the nonlinear characteristics of the short-circuit current model,the whale optimization al-gorithm is improved to better adapt to nonlinear parameter identification.

synchronous generatorshort-circuit currentparameter identificationwhale optimization algorithm

葛馨远、饶毅、谢睿、孙峥、吴汪平、周念成

展开 >

广东电网有限责任公司广州白云供电局,广东 广州 510405

输变电装备技术全国重点实验室(重庆大学),重庆 400044

同步发电机 短路电流 参数辨识 鲸鱼优化算法

中国南方电网有限责任公司科技项目

GZHKJXM20190067

2024

电工电能新技术
中国科学院电工研究所

电工电能新技术

CSTPCD北大核心
影响因子:0.716
ISSN:1003-3076
年,卷(期):2024.43(5)
  • 25