Application of Kalman filter based nonlinear MPC for flood gate control of hydropower plant

Author

Wenjing Zhou ; Thoresen, H.M. ; Glemmstad, B.

Author_Institution

Dept. of Electr. Eng., Inf. Technol. & Cybern., Telemark Univ. Coll., Porsgrunn, Norway

fYear

2012

fDate

22-26 July 2012

Firstpage

1

Lastpage

4

Abstract

This paper addresses the issue of regulating the water level of a reservoir in a hydropower plant with nonlinear predictive control (NMPC). Besides, according to pre-specified water level variant limits, an error tolerance NMPC (ET-NMPC) was extended from a regular NMPC. A nonlinear mathematical model was developed for dynamics of water reservoir level. A theoretical hydrology model was included to calculate inflow of reservoir. Extended Kalman filter (EKF) was applied to estimate the inflow depends on various weather conditions and help to predict future water level. Closed loop simulations with ET-NMPC were demonstrated.

Keywords

Kalman filters; hydroelectric power stations; nonlinear control systems; nonlinear filters; power filters; power generation control; predictive control; EKF; ET-NMPC; closed loop simulations; error tolerance NMPC; extended Kalman filter; flood gate control; hydropower plant; nonlinear MPC; nonlinear mathematical model; nonlinear predictive control; theoretical hydrology model; water level variant limits; water reservoir level; Floods; Kalman filters; Logic gates; Mathematical model; Meteorology; Reservoirs;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting, 2012 IEEE

Conference_Location

San Diego, CA

ISSN

1944-9925

Print_ISBN

978-1-4673-2727-5

Electronic_ISBN

1944-9925

Type

conf

DOI

10.1109/PESGM.2012.6344603

Filename

6344603