基于粒子群算法铁磁谐振的检测研究  被引量:5

Detection of Ferroresonance Based on Particle Swarm Optimization

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作  者:戴武昌[1] 王彬[1] 袁天刚[1] 杨亮[1] 

机构地区:[1]东北电力大学电气工程学院,吉林吉林132012

出  处:《电测与仪表》2010年第8期8-11,共4页Electrical Measurement & Instrumentation

摘  要:在中性点不接地的电力系统中,系统母线装置的电磁式电压互感器(PT)在一定激发条件下极易引起铁磁谐振过电压。非线性铁磁谐振电路方程在数学表达式上表示为非线性微分方程,但方程的求解现在尚缺普遍性的方法。本文将利用非线性方程解等价于相应的最优问题解,用粒子群优化算法(PSO)求解非线性铁磁谐振电路方程,利用该方法可以检测到系统发生铁磁谐振的谐振频率和过电压倍数;并采用MATLAB/SIMULINK搭建中性点不接地系统的仿真模型,仿真结果验证了该方法的有效性和实用性。In the neutral point ungrounded power system,the electromagnetic potential transformer(PT) of system bus devices is easy to cause the ferroresonance overvoltage under certain excitation conditions.Nonlinear ferroresonance circuit equation is expressed as a mathematical expression of nonlinear differential equations.But the equation solution methods are still lack of universality.In this paper,the solutions of the equation are equivalent to the corresponding optimization problem solution,and Particle Swarm Optimization(PSO) is used for solving nonlinear ferroresonance circuit equation.Using this method,system ferroresonance frequency and voltage of the times can be detected.And Matlab / Simulink software is used to create a neutral point ungrounded system simulation model.The results of simulation verify its correctness and practicability.

关 键 词:粒子群优化算法 电压互感器 铁磁谐振 非线性方程 

分 类 号:TM864[电气工程—高电压与绝缘技术]

 

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