您当前所在位置: 首页 > 学者
在线提示

恭喜!关注成功

在线提示

确认取消关注该学者?

邀请同行关闭

只需输入对方姓名和电子邮箱,就可以邀请你的同行加入中国科技论文在线。

真实姓名:

电子邮件:

尊敬的

我诚挚的邀请你加入中国科技论文在线,点击

链接,进入网站进行注册。

添加个性化留言

已为您找到该学者7条结果 成果回收站

上传时间

2005年03月07日

【期刊论文】Hamiltonian modelling and nonlinear disturbance attenuation control of TCSC for improving power system stability

孙元章, Y.Z. Sun, Q.J. Liu, Y.H. Song and T.L. Shen

lEE Proc.-Control Theory Appl, VoL 149, No.4, July 2002,-0001,():

-1年11月30日

摘要

To tackle the obstacle of applying passivity-based control (PBC) into power systems, an affine non-linear system widely existing in power systems is formulated as a standard Hamiltonian system using a pre-feedbaek method. The port controlled Hamiltonian with dissipation (PCHD) model of TCSC is then established corresponding with a revised Hamiltanian function. Furthermore, employing the modified Hamiltonian function directly as the storage function, a non-linear adaptive L2 gain control method is proposed to solve the problem of L2 gain disturbance attenuation for this Hamiltonian system with parametric perturbations. Finally, simulation results are presented to verify the validity of the proposed controller.

上传时间

2005年03月07日

【期刊论文】A hybrid stochastic approach to available transfer capabUity evaluation

孙元章, Y.Xiao, Y.H.Song and Y.Z.Sun

IEE Proc.-Gener. Transm. Distrib., Vol. 148, No.5, September 2001,-0001,():

-1年11月30日

摘要

A novel methodology is proposed to evaluate the available transfer capability (ATC) of prescribed interfaces in connected power networks. With respect to the major uncertain factors affecting the ATC value, a realistic stochastic model is formulated in which availability of generators and circuits are considered as random variables following binomial distributions. With reasonable assumptions, fluctuations of loads are taken into consideration as normally distributed variables. To deal with the complex problem formulated with both discrete and continuous variables involved efficiently, a hybrid stochastic approach which takes advantage of both two-stage stochastic programming with recourse and chance constrained programming is proposed. The necessity of considering the impact of uncertainties on ATC assessment is demonstrated clearly by using the IEEE 118-node standard. Numerical results also illustrate the capability and efficiency of the proposed methodology.

合作学者

  • 孙元章 邀请

    清华大学,北京

    尚未开通主页