Abstract
This paper is concerned with the design of advanced algorithms to
optimally implement a desired set point change whilst satisfying operational
variable constraints in large power plants. In common with many process
control applications it is not possible to move from one power plant operating
condition to another instantaneously. Previous ad-hoc methods to automate the
transition usually involves ramping the setpoint over some pre-determined
time horizon and implicitly satisfying the operational and safety constraints.
The design of optimal methods for the implementation of future set points
trajectories is addressed here using the techniques of Generalised Predictive
Control (GPC) for large scale systems. A generic unit of Combined Heat and
Power (CHP) unit is employed as an example.
optimally implement a desired set point change whilst satisfying operational
variable constraints in large power plants. In common with many process
control applications it is not possible to move from one power plant operating
condition to another instantaneously. Previous ad-hoc methods to automate the
transition usually involves ramping the setpoint over some pre-determined
time horizon and implicitly satisfying the operational and safety constraints.
The design of optimal methods for the implementation of future set points
trajectories is addressed here using the techniques of Generalised Predictive
Control (GPC) for large scale systems. A generic unit of Combined Heat and
Power (CHP) unit is employed as an example.
| Original language | English |
|---|---|
| Pages | 395-400 |
| Number of pages | 6 |
| Publication status | Published - Jul 1995 |
| Event | IFAC Large Scale Systems conference - City University, London, United Kingdom Duration: 11 Jul 1995 → 13 Jul 1995 |
Conference
| Conference | IFAC Large Scale Systems conference |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 11/07/95 → 13/07/95 |
Keywords
- set points optimisation,
- hierarchical control,
- supervisory , power plants