一种改进的非线性神经元PID控制方法在高压SVC中的应用  

Improved non-linear neuron PID control method for application of high-voltage SVC

作　　者：杨晓峰 吴敬兵[2] 

机构地区：[1]陕西地方电力集团有限公司宝鸡供电分公司,陕西宝鸡721004 [2]福建省电力有限公司福州电业局,福建福州350009

出　　处：《电工电能新技术》2013年第2期107-110,120,共5页Advanced Technology of Electrical Engineering and Energy

摘　　要：以高压静止无功补偿器(Static Var Compensator,SVC)为研究对象,针对传统PID控制器难以对设定值进行有变化的跟踪和对扰动进行抑制的缺陷,提出了一种新的非线性神经元PID控制+二阶微分控制算法以实现公共连接点的电压稳定控制,采用改进的神经元学习算法对控制器的参数进行优化,使得SVC系统的瞬态响应性能和控制性能达到最佳,引入非线性函数消除了系统的超调。实验结果验证了所提出的控制方法能够保证快速、无超调地跟踪电压设定值,具有较强的鲁棒性和适应性,提高了SVC系统的补偿精度。High voltage Static Var Compensator （SVC） is regarded as the research target in this paper. In view of the problem that traditional PID is difficult to track the setting value and to suppress the disturbance, the paper pro-poses a novel control method consisting of nonlinear neural PID control and a second order derivative control to a-chieve the aim for keeping the voltage stability in point of common coupling. Improved neural learning algorithm is used to optimize the parameters of the controller to achieve best transient response and control performance, and on-linear function is introduced to eliminate the overshoot of the system. Experimental results verify that the proposed control strategy is able to guarantee the output of tracking of the set value of SVC system fast and nonovershooting, has good adaptability and robustness, and can improve the compensation accuracy of system.

关 键 词：高压静止无功补偿器(SVC) 非线性 神经元PID控制 二阶微分控制 

分 类 号：TM7[电气工程—电力系统及自动化]