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机构地区:[1]福州大学电气工程与自动化学院,福建福州350108 [2]福建省电力有限公司电力科学研究院,福建福州350007
出 处:《电力科学与技术学报》2013年第3期71-76,共6页Journal of Electric Power Science And Technology
基 金:国家自然科学基金(61174117)
摘 要:回复电压测试法作为一种无损手段能够有效地诊断电力设备的绝缘老化状况,评估油纸的湿度.通过经典的扩展德拜模型建立回复电压曲线与等值电路之间的数学模型,推导回复电压数学表达式;提出基于非线性最小二乘估计法结合粒子群优化算法的等值电路中的未知参数辨识方法;最后对某台变压器的实测回复电压数据进行等值电路参数辨识,结果验证了参数辨识的准确性;并利用辨识出的电路仿真分析回复电压测试参数对回复电压曲线的影响,结合极化响应过程揭示了绝缘油纸系统与微观机构间的关系.The use of recovery voltage method (RVM) may be significant ways to detect the aging of insulation and estimate moisture content of operating power apparatus in a non-destructive manner. A mathematical model between RVM curve and the equivalent circuit is proposed by using typical extended Deby model, and the mathematical expression of RVM curve is also derived in this paper. The particle swarm optimization (PSO) algorithm is used in the theory of nonlinear least squares estimation (NLSE) to get the unknown parameters of equivalent circuit. Equivalent circuit parameters of an transformation are identified by its recovery voltage. The result validates the proposed scheme effectiveness. Then, the identified circuit is simulated to analyze the impact of test parameters on the recovery voltage curve. Finally, polarization response is used to interpret the interrelation between oil-paperr insulation and microscopic mechanism.
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