Method and control system for scheduling load of a power plant

Patent metadata

Field	Value
Publication number	US-10013660-B2
Application number	US-201213539773-A
Country	US
Kind code	B2
Filing date	Jul 2, 2012
Priority date	Dec 31, 2009
Publication date	Jul 3, 2018
Grant date	Jul 3, 2018

Abstract

A method and control system are disclosed for optimizing load scheduling for a power plant having one or more generation units. The method can include analyzing the operating state of one or more components of generation units in terms of one or more risk indices associated with one or more components of generation units; updating an objective function that reflects the state of one or more components of generation units; solving the objective function to optimize a schedule of the one or more generation units and operating state of one or more components of generation units; and operating the one or more generation units at optimized schedule and operating state.

First claim

What is claimed is:

1. A method for optimizing load scheduling and operating state for a power plant having one or more generation units with a control system that monitors and controls the power plant and comprises an optimizer, the method comprising:
calculating one or more risk indices for one or more components of the one or more generation units derived from manipulated variables of the one or more generation units for analyzing an operating state of the one or more components of the one or more generation units, wherein the one or more risk indices are associated with the one or more components of the one or more generation units;
updating at least one objective function that reflects the analyzed operating state of the one or more components of the one or more generation units, wherein the at least one objective function includes at least one term for process control of the one or more components of the one or more generation units and at least one term associated with maintenance of the one or more components of the one or more generation units;
obtaining an optimized load schedule for the one or more components of the one or more generation units by solving the at least one objective function, wherein obtaining the optimized load schedule includes obtaining an optimized maintenance schedule, optimized load values, and optimized risk indices to optimize the operating state of at least one of the one or more components of the one or more generation units; and
controlling process parameters of the power plant including adjusting load values by providing set points of manipulated variables for the one or more generation units to operate the one or more generation units at the optimized load schedule and the optimized operating state.

2. The method as claimed in claim 1 , wherein the step of analyzing the operating state comprises:
analyzing at least one of a capability assessment of the one or more generation units to effectively function, an operational cost assessment, and shifts in maintenance schedule in a prediction horizon.

3. The method as claimed in claim 1 , wherein optimizing the load schedule includes at least one of production scheduling, maintenance scheduling, and load values for the one or more generation units.

4. The method as claimed in claim 1 , further comprising:
optimizing the one or more risk indices for the one or more components of the one or more generation units by changing the manipulated variables to adjust the operating state and load schedule.

5. The method as claimed in claim 1 , further comprising:
postponing or advancing a maintenance trigger for maintenance of the one or more components of the one or more generation units based on a state of a component and a load demand.

6. The method as claimed in claim 1 , wherein the updating comprises:
updating the at least one objective function with (a) cost associated with postponing or advancing maintenance of the one or more components of the one or more generation units, and (b) cost associated with lifecycle of the one or more components of the one or more generation units.

7. A control system for load scheduling and operating a power plant having one or more generation units, the control system comprising:
a plant controller to control processes of the one or more generation units; and
an optimizer having at least one objective function that includes at least one term for optimizing load scheduling which includes maintenance scheduling and risk indices derived from manipulated variables of one or more components of the one or more generation units and at least one term for optimizing process control of the one or more generation units in the at least one objective function, wherein the optimizer utilizes a plant model component and a failure model component for load scheduling optimization, and wherein the optimizer comprises:
a schedule analyzer for acquiring at least one of manipulated variables, measured variables, and data from a plant database, and analyzing an operating state of the one or more components of the one or more generation units by calculating one or more risk indices associated with the one or more components of generation units from the at least one of manipulated variables, measured variables, and data from the plant database, and
an optimization solver configured to determine an optimal maintenance schedule and load values for the one or more components of the one or more generation units by solving the at least one objective function for providing set points to the plant controller for operating the one or more components of the one or more generation units at an optimized load schedule and an optimized operating state.

8. The system as claimed in claim 7 , wherein maintenance of the one or more generation units is effected by a maintenance trigger based on the risk indices of the one or more components of the one or more generation units, demand forecast, and improvements in the operating state affected by the manipulated variables.

9. The system as claimed in claim 7 , wherein the optimizer receives the manipulated variables to calculate the one or more risk indices associated with the one or more components of the one or more generation units to optimize the maintenance schedule and load values.

Assignees

• Selvaraj Gopinath
• Sundaram Senthil Kumar
• Shanmugam Mohan Kumar
• Bhat Shrikant
• Abb Research Ltd

Inventors

• Selvaraj Gopinath
• Sundaram Senthil Kumar
• Shanmugam Mohan Kumar
• Bhat Shrikant

Classifications

• G05B23/02

  Electric testing or monitoring · CPC title

• G06Q50/06 Primary

  Energy or water supply · CPC title

• G06Q10/06 Primary

  Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling · CPC title

• G06Q50/10

  Services · CPC title

• Y04S10/545

  Cross-Sectional Technologies · mapped topic