Title :
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
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;
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
DOI :
10.1109/TDC.2005.1546952
