Industrial Application of the Adaptive Optimal Excitation Controller

Author

Yu, Xiang ; Mao, Chengxiong ; Lu, Jiming

Author_Institution

Huazhong Univ. of Sci. & Technol., Wuhan

Volume

2

fYear

2006

fDate

6-8 Sept. 2006

Firstpage

521

Lastpage

525

Abstract

An adaptive optimal excitation controller (AOEC) is presented. The generator and the power grid connected are identified as an object controlled with recursive least square technique. Then the parameters identified are provided to a special 3 order discrete Riccati equation which is solved in real time to get optimal gain matrix. Dynamic simulations were carried out on a physical model of a single machine infinite bus system to verify the effectiveness of the AOEC. Some experiments were also carried out in Gezouba hydropower plant. The AOEC has operated in Gezhouba hydropower plant since March, 2003. Its reliability is verified.

Keywords

Riccati equations; adaptive control; hydroelectric power stations; least squares approximations; matrix algebra; optimal control; power generation control; power generation reliability; power grids; recursive estimation; 3-order discrete Riccati equation; Gezouba hydropower plant; adaptive optimal excitation controller; dynamic simulation; optimal gain matrix; physical model; power grid; power system reliability; recursive least square technique; single machine infinite bus system; Adaptive control; Hydroelectric power generation; Industrial control; Least squares methods; Mesh generation; Optimal control; Power generation; Power grids; Programmable control; Riccati equations;

fLanguage

English

Publisher

ieee

Conference_Titel

Universities Power Engineering Conference, 2006. UPEC '06. Proceedings of the 41st International

Conference_Location

Newcastle-upon-Tyne

Print_ISBN

978-186135-342-9

Type

conf

DOI

10.1109/UPEC.2006.367532

Filename

4218739