Process optimization method and system for a power plant

Patent metadata

Field	Value
Publication number	US-10591875-B2
Application number	US-201213540075-A
Country	US
Kind code	B2
Filing date	Jul 2, 2012
Priority date	Dec 31, 2009
Publication date	Mar 17, 2020
Grant date	Mar 17, 2020

Abstract

A method and system are disclosed for optimizing load scheduling for a power plant having one or more power generator units. An exemplary method and corresponding system can involve detecting an event indicative of a need for adapting one or more constraints for an objective function used in load scheduling. On such detection, the objective function is analysed to determine adaptive constraint values for the one or more constraints for optimally solving the objective function. These adaptive constraint values can be used to solve the objective function and the solution of the objective function with the one or more adapted constraint values can be used to operate the one or more power generation units of the power plant.

First claim

We claim:

1. A method for operating one or more power generation units of a power plant with a control system that comprises an optimizer to obtain an optimal solution for optimizing load scheduling for the one or more power generation units by controlling process parameters of the power plant based on the optimal solution, the method comprising:
detecting an event indicative of a need for adapting one or more constraints of an objective function used in load scheduling, wherein the event includes a condition of nonconvergence of a solution with the one or more constraints of the objective function, wherein the objective function is formulated with terms, each of the terms being a function of one or more manipulated variables of the power plant, and wherein the one or more constraints relate to the one or more manipulated variables;
selecting one or more constraints to be adapted by analyzing the objective function and a power plant model to determine which of the one or more manipulated variables are to be relaxed through its constraints for optimization, on detection of the event indicative of the need for adapting one or more constraints;
determining adaptive constraint values for the selected one or more constraints by using the power plant model and altering the value of the selected one or more constraints for solving the objective function;
analyzing an impact of using the adaptive constraint values on the power plant operation in a short term and in a long term, wherein the impact in the short term is an immediate effect on operating the power plant with the adaptive constraint values, and wherein the long term is a time period for which a demand forecast and the power plant model forecast plan trajectory;
comparing a value of the objective function with the adaptive constraint values in the short term and in the long term with a value of the objective function obtained prior to applying the adaptive constraint values;
selecting the adaptive constraint values for operating the one or more power generation units of the power plant based on the comparison;
solving the objective function with the selected adaptive constraint values to obtain a solution of the objective function; and
sending commands to actuators in the power plant to control process parameters of the power plant based on the solution of the objective function to operate the one or more power generation units of the power plant.

2. The method of claim 1 wherein
determining adaptive constraint values for the selected one or more constraints is based on one of:
preconfiguring a selection of adaptive constraint values based on pre-assigned priorities, and
estimating the adaptive constraint values using Monte-Carlo simulation.

3. The method of claim 1 , wherein selecting constraints to be adapted further comprises determining the one or more manipulated variables as at least one of a flexible manipulated variable and a tight manipulated variable, wherein the flexible manipulated variable is the manipulated variable that can be relaxed by adapting the constraints associated with the flexible manipulated variable and the tight manipulated variable is the manipulated variable that can be tightened by adapting the constraints associated with the tight manipulated variable.

4. The method of claim 1 , wherein selecting one or more constraints to be adapted further comprises:
selecting one or more constraints to at least one of relax and tighten based on a determination of the one or more manipulated variables as flexible manipulated variables and tight manipulated variables.

5. The method of claim 1 , wherein analyzing an impact of use of the adaptive constraint values further comprises use of the adaptive constraint values in the solution of the objective function when a benefit from lowering a penalty from not meeting a power demand by operating the one or more power generation units at above nominal values is greater than a penalty associated with depreciation cost of the one or more power generation units over the time period used to forecast a power plant trajectory, wherein the objective function includes terms relating to penalty and depreciation cost.

6. The method of claim 1 , wherein the value of the objective function represents a cost that is to be minimized.

Assignees

• Shanmugam Mohan Kumar
• Sundaram Senthil Kumar
• Selvaraj Gopinath
• Bhat Shrikant
• Abb Schweiz Ag

Inventors

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

Classifications

• G05B13/041 Primary

  in which a variable is automatically adjusted to optimise the performance · CPC title

• F02C9/42

  specially adapted for the control of two or more plants simultaneously · CPC title

• F05D2270/71

  synthesized, i.e. parameter computed by a mathematical model · CPC title

• G05B19/418 Primary

  Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] · CPC title

• F05D2270/44

  active, predictive, or anticipative · CPC title