Systems, methods and apparatus for optimizing fuel mix, fuel allocation and scheduling of generator resources

• US 9,576,259 B2
• Filed: 07/15/2014
• Issued: 02/21/2017
• Est. Priority Date: 08/13/2013
• Status: Active Grant

• Current Assignee: Siemens Industry Incorporated (Siemens AG)
• Original Assignee: Siemens Industry Incorporated (Siemens AG)
• Inventors: Li, Tao, Mansingh, Ashmin
• Primary Examiner(s): Coupe, Anita
• Assistant Examiner(s): Turner, Shelby
• Application Number:
  US14/331,316
• Publication Number:
  US 20150051938A1
• Time in Patent Office: 952 Days
• Field of Search: 705/7.41, 705/7.42
• US Class Current: 1/1
• CPC Class Codes: G05B 13/0205 not using a model or a simulator of the controlled system
• CPC Class Codes: G06Q 10/06314 Calendaring for a resource
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

Embodiments of the invention provide systems, methods, and apparatus for receiving input information including at least one of generator parameters, energy output requirements, fuel cost, fuel availability, and a maintenance schedule; creating a resource model based on the input information wherein creating the resource model includes linearizing a quadratic objective function and linearizing a quadratic gas constraints function; generating an optimized operating schedule, fuel mix, and allocation plan from the resource model based on the input information; and controlling the generator resources to optimally meet energy output requirements using the operating schedule fuel mix, and allocation plan. Numerous other aspects are provided.

Claims

1. A system for operating generator resources comprising:

a plurality of input information sources to provide input information including at least one of generator parameters, energy output requirements, fuel cost, fuel availability, and a maintenance schedule;

a modeling system is configured to create a resource model based on the input information wherein creating the resource model includes linearizing a quadratic objective function and linearizing a quadratic gas constraints function, the resource model operable to generate an optimized operating schedule, a fuel mix and a fuel allocation plan, the modeling system couplable to the input information sources to receive the input information;

a system controller operative to execute the operating schedule and fuel allocation plan, and coupled to the modeling system;

a plurality of multi-fuel power generators coupled to and controlled by the system controller; and

a fuels supply coupled to the system controller to supply fuels to the plurality of multi-fuel power generators,

wherein the system controller is configured to control the plurality of multi-fuel power generators to meet energy output requirements using the optimized operating schedule, the fuel mix, and the fuel allocation plan, and

wherein the modeling system is configured to fix the fuel mix by setting a fuel mix ratio and binary decision variables based on values obtained from a mixed-integer linear programming model and based on quadratic constraint programming with a quadratic objective function without linearization and a quadratic gas constraints function without linearization.

2. The system of claim 1 wherein the resource model is based on the input information, a linearized quadratic objective function, and a linearized quadratic gas constraints function.

3. The system of claim 1 wherein the modeling system uses the mixed-integer linear programming model with a linearized quadratic objective function and a linearized quadratic gas constraints function to optimize resource scheduling.

4. The system of claim 1 wherein the fuel allocation plan is based on the quadratic constraint programming with the quadratic objective function without linearization and the quadratic gas constraints function without linearization.

5. The system of claim 1 wherein the modeling system determines a unit commitment solution based on the quadratic constraint programming with the quadratic objective function without linearization and the quadratic gas constraints function without linearization.

6. The system of claim 5 wherein the modeling system determines an optimal generation dispatch and fuel allocation plan based on the unit commitment solution.

7. The system of claim 1 wherein the fuel mix ratio is a continuous variable.

8. The system of claim 7 wherein the continuous variable is between 0 and 1.

9. The system of claim 1 wherein the modeling system is configured to receive the fuel cost and the fuel availability from a plurality of fuel suppliers.

10. The system of claim 1 wherein the modeling system i s configured to receive the generator parameters from a plurality of resource manufacturers.

11. The system of claim 1 wherein the modeling system is configured to receive the maintenance schedule from a resource maintenance.