摘要
常规的电力系统稳定器(PSS)往往离线整定其参数,未能考虑实际系统多样的运行方式,因此不能很好地提供阻尼来抑制电力系统的低频振荡。为此,采用改进的自适应广义预测控制(GPC)算法设计PSS。该控制器针对传统广义预测控制算法计算量大这一缺陷,运用快速算法,避免了矩阵求逆运算;在确定广义预测控制器参数上,改进的算法综合考虑控制增量对系统的影响及系统的动态性能,不断修正目标函数中控制增量的加权系数。仿真结果表明该PSS具有良好的动态品质和调节精度,能提高电力系统的动态稳定性,抑制低频振荡。
The parameters of a conventional power-system stabilizer （CPSS） are always identified offline without considering various operating conditions, therefore the CPSS cannot provide effective damping to restrain the low frequency oscillation of a power system. The paper presents an adaptive power system stabilizer based on the improved generalized predictive control method （GPC）. To avoid large amounts of computation of the traditional GPC, a fast algorithm is proposed which makes it not necessary to solve the inverse matrix. Moreover, the weighting coefficients in the objective function of the improved method are adjusted online by considering the influences of control increments and dynamic performances of a system. Simulation results show its satisfactory dynamic performances and regulation precisions in improving a system dynamic stability and damping low-frequency oscillations.
出处
《电力系统自动化》
EI
CSCD
北大核心
2008年第2期6-7,20,共3页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(50595412)~~
关键词
低频振荡
电力系统稳定器
广义预测控制
快速算法
参数在线调整
low frequency oscillation
power system stabilizer （PSS）
generalized predictive control, fast algorithm
parameter tuned on line
