THE ECONOMIC OPTIMIZATION OF A STEAM POWER
PLANT
This paper provides an Optimization System for an industrial site. The
real-time system will determine the appropriate loading for various boilers and
steam turbines to best meet the site’s demand for steam at various pressures
and generate electricity. We have intended to perform the optimization across
the plant as a whole using PredictPro, although this technology usually
operates on a single process unit.
To provide the system’s functionality there are a number of possible
approaches, including: a steady-state optimizer, utilizing a process model of the
plant (in our case gains model) and the use of the optimizer functionality within
the PredictPro model predictive controller.
Any power plant that can be described by a “gain matrix” with less
than 40 Manipulated Variables (MV) and 80 Constraints (CV) can be treated by
the application in such a configuration.
Keywords: economic optimization, control (Control) as Model
Predictive (MPC), power plants, mathematical modeling
Cuvinte cheie: optimizare economică, reglare (Control) Predictivă
după Model (MPC), centrală electrică, modelare matematică
