AGGREGATOR, MONITOR, AND MANAGER OF DISTRIBUTED MICRO-GENERATORS

• US 20160155074A1
• Filed: 05/14/2015
• Published: 06/02/2016
• Est. Priority Date: 06/25/2008
• Status: Abandoned Application

• Current Assignee: Versify Solutions, Inc. (MCG Energy Solutions LLC)
• Original Assignee: Versify Solutions, Inc. (MCG Energy Solutions LLC)
• Inventors: IPPOLITO, David, Cona, Peter
• Application Number:
  US14/712,532
• Publication Number:
  US 20160155074A1
• Time in Patent Office: Days
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 2310/58 The condition being electrical
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H02J 3/008 involving trading of energy or energy transmission rights
• CPC Class Codes: H02J 3/144 Demand-response operation of the power transmission or distribution network
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y02P 90/82 Energy audits or management systems therefor
• 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
• CPC Class Codes: Y04S 20/00 Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid
• CPC Class Codes: Y04S 50/14 Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards
• CPC Class Codes: Y04S 50/16 Energy services, e.g. dispersed generation or demand or load or energy savings aggregation

Abstract

The invention broadly encompasses a system including a database to store demand response data, the demand response data including demand response agreement parameters, demand response load and energy demand characteristics of one or more demand response customers, the demand response load characteristics including power consumption capacity of each of one or more demand response loads, an aggregator to aggregate the demand response loads based on the demand response data and forecast data into a demand response portfolio, a monitor to monitor power demand of one or more demand response customers and one or more power grids, and a dispatcher to notify the one or more demand response customers of the demand response portfolio and to notify a utility of a response from the one or more demand response customers whether to control the demand response load to return the power consumption capacity of the demand response load back to the one or more power grids.

Claims

1-9. -9. (canceled)

10. A system, comprising:

a. a processor and a non-transitory data storage device that contains instructions when executed by the processor comprising;

b. an aggregator of distributed micro-generator energy sources capable of delivering an energy source to a power grid;

c. a monitor of the distributed micro-generator energy sources,

wherein the monitor communicates micro-generator energy usage data with a wholesale power producer and a micro-generator asset owner; and

d. a portfolio optimizer of the distributed micro-generator energy sources,

wherein assigning a specific one of the micro-generator energy sources to the wholesale power producer causes energy to be delivered to a wholesale power market via a wholesale power grid.

11. The system of claim 10, wherein the optimizer optimizes micro-generator energy source usage.

12. The system of claim 11, wherein the optimizer optimizes micro-generator energy according to a market condition.

13. The system of claim 11, wherein the optimizer optimizes micro-generator energy according to a micro-generator energy source asset mix.

14. The system of claim 10, wherein the optimizer suggests an allocation of the micro-generator energy sources.

15. The system of claim 10, wherein the optimizer develops a bid and an offer price for energy trading in an energy trading market.

16. A computer-implemented method performed by a processor and a nontransitory data storage device that contains instructions executed by the processor, said method comprising:

a. aggregating, by the processor, distributed micro-generator energy sources capable of delivering an energy source to a power grid;

b. monitoring the distributed micro-generator energy sources by communicating micro-generator energy usage data with a wholesale power producer and a micro-generator asset owner; and

c. optimizing the distributed micro-generator energy sources by facilitating control of the micro-generator energy sources by assigning a specific one of the micro-generator energy sources to a wholesale power producer,

wherein assigning the specific one of the micro-generator energy sources to the wholesale power producer causes energy to be delivered to a wholesale power market via a wholesale power grid.

17. The method of claim 16, wherein the optimizing further comprises optimizing micro-generator energy source usage.

18. The method of claim 17, wherein the optimizing is executed according to a market condition.

19. The method of claim 16, wherein the optimizing is executed according to a micro-generator energy source asset mix.

20. The method of claim 16, wherein the optimizing further comprises suggesting an allocation of the micro-generator energy sources.

21. The method of claim 16, wherein the optimizing further comprises developing a bid and an offer price for energy trading in an energy trading market.