Renewable energy configurator

• US 9,466,034 B2
• Filed: 04/30/2012
• Issued: 10/11/2016
• Est. Priority Date: 04/28/2011
• Status: Active Grant

• Current Assignee: Vestas Wind Systems A/S
• Original Assignee: Vestas Wind Systems A/S
• Inventors: Sahukari, Sridhar, Murphy, Gerald, Upadhye, Aditya, Abebe, Yonatan, Santos, Juan, Rollow, Brett, Viassolo, Daniel, Hesselbk, Bo, Zhang, Jianhui, Hoffman, Jason
• Primary Examiner(s): Johnson, Cedric D
• Application Number:
  US13/460,360
• Publication Number:
  US 20130030784A1
• Time in Patent Office: 1,625 Days
• Field of Search: 703/18, 703/22, 703/13
• US Class Current: 1/1
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: Y02E 10/76 Power conversion electric or electronic aspects

Abstract

Embodiments for determining an optimal configuration for a renewable energy power plant are provided. The power plant, which may be a virtual power plant, includes one or more generator devices and one or more energy storage devices that may be operated to undertake one or more operating applications. Data indicative of the power output of the power plant and the voltage level at the energy storage system connection point is received as an input. Using this data, combinations of energy storage devices and operating applications stored on a database are processed and, for each energy storage and operating application pair, a value indicative of the profitability of undertaking the operating application is determined. These values are used to rank the combinations of energy storage devices and operating applications according to their profitability, which in turn is used to select the most efficient or profitable application/energy storage pair.

Claims

1. A computer-implemented method for determining a configuration for a renewable energy power plant having a power output rating and operatively connected with an electrical grid, the power plant comprising one or more generator devices and one or more energy storage devices operating according to a selected one of a plurality of operating applications, the method comprising:

receiving, in a computer as an input, data indicative of the power output rating of the power plant;

receiving, in the computer as an input, data indicative of a location of the electrical grid;

determining, based on the received data, a plurality of distinct pairings, each pairing including one of the one or more energy storage devices and one of the plurality of operating applications, the plurality of distinct pairings collectively reflecting a plurality of possible combinations of the one or more energy storage devices with the plurality of operating applications;

upon determining that at least a first of the one or more energy storage devices has requirements that are incompatible with operating requirements for the electrical grid at the location, removing, using the computer, the first energy storage device from being included in the plurality of distinct pairings;

determining, using the computer, for each pairing of the plurality of distinct pairings, a respective profitability value indicating a profitability of operating the power plant according to the selected operating application and using the selected energy storage device; and

ranking the pairings according to the respective profitability values.

2. The method of claim 1, wherein determining a profitability value for each pairing includes determining a plurality of profitability values for each pairing, each of the plurality of profitability values corresponding to a different capacity value for the selected energy storage device, and wherein ranking the pairings further includes ranking the capacity values.

3. The method of claim 1, further comprising:

upon determining that at least one of the plurality of operating applications has operating requirements that are incompatible with operating requirements for the electrical grid at the location, removing the at least one operating application from inclusion in determination of the plurality of distinct pairings.

4. The method of claim 1, further comprising selecting the energy storage device corresponding to a largest profitability value for a particular operating application.

5. A computer-implemented method for comparing, using a simulator, a plurality of energy storage systems for a renewable energy power plant having a power output rating, the simulator including a calculation module simulating operation of the power plant using pairings of a selected energy storage system (ESS) model with a selected application model, the ESS model selected from a plurality of ESS models representing different types of ESS, and the application model selected from a plurality of application models and corresponding to a selected operating application by which the power plant and the selected ESS model are operated,

the method comprising:

receiving data indicative of the power output rating of the power plant;

receiving data indicative of a location of the power plant;

determining, prior to performing a simulation of operation of the power plant for a plurality of distinct pairings that collectively reflect a plurality of possible combinations of the plurality of ESS models with the plurality of application models, whether the ESS types can meet the requirements of the selected application model by comparing requirements of the application model with predefined ESS parameters and removing any incompatible application models from being included in the pairings used for the simulation;

for the plurality of distinct pairings;

performing, using the calculation module and based on the power output rating, a simulation of operation of the power plant with the energy storage system according to the selected application model; and

generating one or more simulation results indicative of the performance of the pairing; and

ranking, based on the generated simulation results, the performance of the pairings.

6. The method of claim 5, wherein the received data includes data obtained from an existing renewable energy power plant or data determined from a location-dependent parameter.

7. The method of claim 5, further comprising:

calculating, using the simulator and for each of the plurality of distinct pairings, a parameter indicative of a profitability of the pairing,

wherein ranking the relative performance of the pairings is based on the calculated profitability parameter.

8. The method of claim 7, wherein the parameter includes a net present value (NPV) of operating the power plant according to the corresponding pairing.

9. The method of claim 7, further comprising selecting the pairing corresponding to a largest profitability parameter.

10. The method of claim 8, further comprising generating a tabular ranking of each pairing based on the respective NPV.

11. The method of claim 5, further comprising

performing a plurality of simulations for at least one pairing of the plurality of distinct pairings using different capacity values for the selected ESS model, and ranking the results of the plurality of simulations.

12. The method of claim 11, wherein an optimum ESS capacity is determined by:

calculating a profitability of each capacity value for the at least one pairing, and

ranking the capacity values according to the profitability.

13. The method of claim 5, further comprising:

receiving data indicative of a location of the power plant;

determining, prior to performing the simulation of operation of the power plant for the plurality of distinct pairings, whether the plurality of application models are compatible with grid code requirements for the location and a type of the power plant; and

removing any incompatible application models from inclusion in the pairings used for the simulation.

14. The method of claim 13, wherein the determination of compatibility is based upon one or more of price information, grid information, and local wind information.

15. The method of claim 5, wherein the operating applications include one or more of Time-Shifting, Transmission Curtailment, Grid Frequency Regulation, Combination of Time-Shifting and Transmission Curtailment, Forecast Accuracy, and Firm Capacity.

16. The method of claim 5, wherein the simulator is provided as a modular arrangement, with the plurality of ESS models, data related to properties of one or more renewable energy power plants, and the plurality of application models provided as separate modules, the method further comprising:

performing simulation of at least one of the separate modules with a different time rate than the other modules.

17. The method of claim 16, wherein an ESS module simulation corresponding to the plurality of ESS models is run at a faster rate than the other modules.

18. The method of claim 5, wherein the renewable energy power plant includes a wind power plant comprising a plurality of wind turbine generators.

19. An apparatus for determining a configuration for a renewable energy power plant having a power output rating and operatively connected with an electrical grid, the power plant comprising one or more generator devices and one or more energy storage devices and operating according to a selected one of a plurality of operating applications, the apparatus comprising:

an input terminal receiving data indicative of the power output rating of the power plant and data indicative of a location of the electrical grid;

a processor coupled with the input terminal, wherein the processor;

determines, based on the received data, a plurality of distinct pairings, each pairing including one of the one or more energy storage devices and one of the plurality of operating applications, the plurality of distinct pairings collectively reflecting a plurality of possible combinations of the one or more energy storage devices with the plurality of operating applications;

upon determining that at least a first of the one or more energy storage devices has requirements that are incompatible with operating requirements for the electrical grid at the location, removes the first energy storage device from being included in determination of the plurality of distinct pairings;

determine determines, for each pairing of the plurality of distinct pairings, a respective profitability value indicating a profitability of operating the power plant according to the selected operating application and using the selected energy storage device; and

ranks the pairings according to the respective profitability values; and

a memory coupled with the processor receiving the ranking of the pairings.

20. The apparatus of claim 19, wherein the processor:

determines, using received data and for each distinct pairing, profitability values indicating a profitability of operating the power plant according to the selected operating application and for a plurality of different capacity values for the selected energy storage device; and

ranks the pairings and capacity values according to the profitability values.

21. The apparatus of claim 19, wherein the input terminal receives data indicative of a location of the electrical grid, and wherein the processor:

upon determining that at least one of the plurality of operating applications has operating requirements that are incompatible with operating requirements for the electrical grid at the location, removes the at least one operating application from inclusion in determination of the plurality of distinct pairings.

22. The apparatus of claim 19, wherein the processor selects the pairing corresponding to a largest profitability value.