Distributed hybrid renewable energy power plant and methods, systems, and comptuer readable media for controlling a distributed hybrid renewable energy power plant

• US 8,260,469 B2
• Filed: 11/04/2009
• Issued: 09/04/2012
• Est. Priority Date: 11/04/2008
• Status: Active Grant

• Current Assignee: Green Energy Corporation (Energy Holdings International, Inc.)
• Original Assignee: Green Energy Corporation (Energy Holdings International, Inc.)
• Inventors: Gregory, Daniel Constantine, Alesi, Lawrence H., Crain, J. Adam
• Primary Examiner(s): BARNES-BULLOCK, CRYSTAL JOY
• Application Number:
  US12/612,530
• Publication Number:
  US 20100145532A1
• Time in Patent Office: 1,035 Days
• Field of Search: 700/286, 700/287, 700/291, 700/297, 705/7.11, 705/7.12, 705/7.22, 705/7.25, 705 736- 738, 290/43, 290/44, 340/500, 340/540, 340/635
• US Class Current: 700/287
• CPC Class Codes: H02J 13/00002 characterised by monitoring
• CPC Class Codes: H02J 13/00034 the elements or equipment being or involving an electric power substation
• CPC Class Codes: H02J 2203/20 Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 2300/20 The dispersed energy generation being of renewable origin
• CPC Class Codes: H02J 2300/24 of photovoltaic origin
• CPC Class Codes: H02J 2300/28 The renewable source being wind energy wind motors F03D
• CPC Class Codes: H02J 2300/40 wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: Y02E 10/56 Power conversion systems, e.g. maximum power point trackers
• CPC Class Codes: Y02E 10/72 Wind turbines with rotation axis in wind direction
• CPC Class Codes: Y02E 10/76 Power conversion electric or electronic aspects
• CPC Class Codes: Y02E 40/70 Smart grids as climate change mitigation technology in the energy generation sector
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 10/123 the energy generation units being or involving renewable energy sources
• CPC Class Codes: Y04S 10/30 State monitoring, e.g. fault, temperature monitoring, insulator monitoring, corona discharge
• CPC Class Codes: Y04S 40/20 Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

The subject matter described herein includes a distributed hybrid renewable energy power plant. One exemplary hybrid renewable energy power plant includes a plurality of renewable energy power generation sources that are distributed over a geographic area. A plurality of grid interface boxes connect each of the renewable energy power generation sources to a power distribution grid, measure power output by each of the renewable energy power generation sources, and regulate power delivered to the grid by each of the renewable energy power generation sources. A plant front end communicates with the grid interface boxes, determines a total output power available from the renewable energy power generation sources based on instantaneous power available from each of the renewable energy power generation sources, determines a statistical availability of the total output power based on weather and other conditions affecting power output from the renewable energy power generation sources, and outputs the total output power and the statistical availability to an energy management system.

Claims

1. A geographically distributed and hybrid renewable energy power plant, the power plant comprising:

a plurality of renewable energy power generation sources that are distributed over a geographic area;

a plurality of grid interface boxes, wherein each of the grid interface boxes is respectively configured to connect one renewable energy power generation source of the renewable energy power generation sources to a power distribution grid, to measure a power output by the one renewable energy power generation source, and to regulate power delivered to the power distribution grid by the one renewable energy power generation source; and

a plant front end for communicating with the grid interface boxes, for determining a total output power available from the renewable energy power generation sources based on instantaneous power available from each of the renewable energy power generation sources, for determining a statistical availability of the total output power based on weather and other conditions affecting power output from the renewable energy power generations sources, and for outputting the total output power and the statistical availability to an energy management system.

2. The power plant of claim 1 wherein power output from each of the renewable energy power generation sources is no more than about ten percent of maximum power distribution line capacity.

3. The power plant of claim 1 wherein the statistical availability is determined using recursive Bayesian estimation.

4. The power plant of claim 1 wherein the plurality of grid interface boxes is further configured to generate alarms, measure instantaneous power output of each of the plurality of renewable energy power generation sources, and communicate the measured instantaneous power output to the plant front end.

5. The power plant of claim 1 wherein the statistical availability is calculated based on alarm data and measurement data from the plurality of grid interface boxes.

6. The power plant of claim 1 wherein the statistical availability is determined based on weather data.

7. The power plant of claim 1 wherein the renewable energy power generation sources include at least one of a solar power generation source, a wind power generation source, a hydroelectric power generation source, and a biomass power generation source.

8. A system for controlling a distributed hybrid renewable energy power plant, comprising:

a plurality of grid interface boxes, wherein each of the grid interface boxes is respectively configured to connect one energy resource belonging to a plurality of distributed energy resources to a power distribution grid, to measured power output from the one energy resource, and to regulate the measured power output by the energy resource to be delivered to the power distribution grid; and

a plant front end comprising;

a protocol conversion module for receiving, from the plurality of grid interface boxes, inputs indicating the measured power output;

a plurality of model instances for modeling the statistical availability of each of the plurality of distributed energy resources; and

an aggregation engine for aggregating the measured power outputs and statistical availabilities, and for presenting the aggregated power outputs and statistical availabilities as an aggregated distributed energy resource to a utility energy management system (EMS).

9. The system of claim 8 wherein power output from each of the plurality of distributed energy resources is no more than about ten percent of maximum power distribution line capacity.

10. The system of claim 8 wherein the statistical availability is determined using recursive Bayesian estimation.

11. The system of claim 8 wherein the plurality of grid interface boxes is further configured to generate alarms, measure instantaneous power output of each of the plurality of renewable energy power generation sources, and communicate the measured instantaneous power output to the plant front end.

12. The system of claim 8 wherein the statistical availability is calculated based on alarm data and measurement data from the plurality of grid interface boxes.

13. The system of claim 8 wherein the statistical availability is calculated based on weather data.

14. The system of claim 8 wherein the distributed energy resources include at least one of a solar power generation source, a wind power generation source, a hydroelectric power generation source, and a biomass power generation source.

15. The system of claim 8 wherein the plurality of model instances is further configured to receive meteorological forecast input from a weather service entity.

16. A method for controlling a distributed hybrid renewable energy power plant, comprising:

receiving inputs, from a plurality of grid interface boxes, indicating the measured power output originating from a plurality of distributed energy resources, wherein each of the grid interface boxes is respectively, configured to connect one energy resource of the plurality of distributed energy resources to a power distribution grid, to measure the power output by the one energy resource, and to regulate power delivered to the power distribution grid by the one energy resource;

modeling the statistical availability of each of the plurality of distributed energy resources;

aggregating the measured power outputs and statistical availabilities; and

presenting the aggregated power outputs and statistical availabilities as an aggregated distributed energy resource to a utility energy management system (EMS).

17. The method of claim 16 wherein power output from each of the plurality of distributed energy resources is no more than about ten percent of maximum power distribution line capacity.

18. The method of claim 16 wherein modeling the statistical availability includes determining the statistical availability using recursive Bayesian estimation.

19. The method of claim 16 wherein modeling the statistical availability includes calculating the statistical availability based on alarm data and measurement data from a plurality of grid interface boxes coupled to the plurality of distributed energy resources.

20. The method of claim 16 wherein modeling the statistical availability includes calculating the statistical availability based on weather data.

21. The method of claim 16 wherein the distributed energy resources include at least one of a solar power generation source, a wind power generation source, a hydroelectric power generation source, and a biomass power generation source.

22. A computer readable medium having stored thereon computer executable instructions that when executed by a processor of a computer control the computer to perform steps comprising:

receiving inputs, from a plurality of grid interface boxes, indicating the measured power output originating from a plurality of distributed energy resources, wherein each of the grid interface boxes is respectively configured to connect one energy resources of the plurality of distributed energy resources to a power distribution grid, to measure the power output by the one energy resource, and to regulate power delivered to the power distribution grid by the one energy resource;

modeling the statistical availability of each of the plurality of distributed energy resources;

aggregating the measured power outputs and statistical availabilities; and

presenting the aggregated power outputs and statistical availabilities as an aggregated distributed energy resource to a utility energy management system (EMS).