Distributed hybrid renewable energy power plant and methods, systems, and comptuer readable media for controlling a distributed hybrid renewable energy power plant
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G05D-003/12
G05D-005/00
G05D-009/00
G05D-011/00
G05D-017/00
G08B-021/00
F03D-009/00
H02P-009/04
출원번호
US-0612530
(2009-11-04)
등록번호
US-8260469
(2012-09-04)
발명자
/ 주소
Gregory, Daniel Constantine
Alesi, Lawrence H.
Crain, J. Adam
출원인 / 주소
Green Energy Corporation
대리인 / 주소
Jenkins, Wilson, Taylor & Hunt, P.A.
인용정보
피인용 횟수 :
15인용 특허 :
5
초록▼
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
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.
대표청구항▼
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 conf
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; anda 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; anda 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; andan 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; andpresenting 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; andpresenting the aggregated power outputs and statistical availabilities as an aggregated distributed energy resource to a utility energy management system (EMS).
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (5)
Gardner, Jay Warren, Methods and apparatus for controlling electric appliances during reduced power conditions.
Koch, Edward; McCurnin, David J.; Rourke, Seth; Dalsin, Nicholas, Predicting responses of resources to demand response signals and having comfortable demand responses.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.