An Adaptive Optimal Excitation Controller

Author

Xiang, Yu ; Chengxiong, Mao ; Jiming, Lu ; Guoqing, Hu

Author_Institution

Coll. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Hubei

fYear

2005

fDate

2005

Firstpage

1

Lastpage

5

Abstract

An adaptive optimal excitation controller (AOEC) is described. 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. In theory the adaptive controller has optimal performance under any condition. Dynamic simulations were carried out on a physical model of a single machine infinite bus system to verify the effectiveness of the AOEC. The controller has operated in Gezhouba hydropower plant for 1 year. The experiments on-site also show that the AOEC has good performance

Keywords

Riccati equations; adaptive control; hydroelectric power stations; least squares approximations; matrix algebra; optimal control; power generation control; power grids; power system parameter estimation; 3-order discrete Riccati equation; Gezhouba hydropower plant; adaptive optimal excitation controller; optimal gain matrix; parameter identification; power grid; recursive least square technique; single machine infinite bus system; Adaptive control; Hydroelectric power generation; Least squares methods; Mesh generation; Optimal control; Power generation; Power grids; Power system dynamics; Programmable control; Riccati equations; adaptive optimal control; excitation; synchronous generator;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES

Conference_Location

Dalian

Print_ISBN

0-7803-9114-4

Type

conf

DOI

10.1109/TDC.2005.1546952

Filename

1546952