Aggregator, monitor, and manager of distributed demand response

• US 9,805,325 B2
• Filed: 07/24/2012
• Issued: 10/31/2017
• Est. Priority Date: 06/25/2008
• Status: Active Grant

• Current Assignee: MCG Versify Acquisition LLC
• Original Assignee: Versify Solutions, Inc. (MCG Energy Solutions LLC)
• Inventors: Ippolito, David, Cona, Peter
• Primary Examiner(s): HARTMAN JR, RONALD D
• Application Number:
  US13/556,535
• Publication Number:
  US 20130024036A1
• Time in Patent Office: 1,925 Days
• Field of Search: 700286, 700291, 700297-298, 700295, 705 37, 705412
• 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

A system includes a database storing 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. A system, comprising:

a database to store demand response data;

an aggregator to aggregate one or more demand response loads based on the demand response data into a demand response portfolio; and

a monitor to monitor power demand of one or more demand response customers and one or more power grids,

wherein the aggregator aggregates the demand response loads to participate in energy markets based on one or more financial requirements in the markets,

the demand response data includes geocodes for each of the one or more demand response loads, and

the demand response portfolio comprises the demand response data and forecast data.

2. The system of claim 1, wherein the aggregator aggregates the demand response loads based on the demand response data and forecast data into the demand response portfolio.

3. The system of claim 1, wherein the forecast data includes operational data, market data and weather data.

4. The system of claim 1, wherein the demand response data comprises:

demand response agreement parameters;

demand response load and energy demand characteristics of one or more demand response customers; and

demand response load characteristics including power consumption capacity of each of the one or more demand response loads.

5. A non-transitory computer-readable storage medium, storing one or more programs configured for execution by one or more processors, the one or more programs comprising instructions to:

(i) collect demand response asset data;

(ii) aggregate one or more demand response loads based on the demand response asset data into a demand response portfolio,

wherein the demand response asset data includes geocodes for each of the one or more demand response loads;

(iii) notify one or more demand response customers of the demand response portfolio;

(iv) notify a utility of a response from the one or more demand response customers whether to control one of the demand response loads to return power consumption capacity of the demand response load back to one or more power grids,

wherein the aggregated demand response loads based on the demand response asset data and forecast data is aggregated into the demand response portfolio,

the demand response loads are aggregated to participate in energy markets based on one or more forecasted financial requirements in the markets; and

(v) monitor power demand of the one or more demand response customers and the one or more power grids.

6. The computer-readable storage medium of claim 5, wherein the forecast data includes operational data, market data and weather data.

7. The computer-readable storage medium of claim 5, wherein the demand response asset data comprises:

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 the one or more demand response loads.

8. A computer-implemented method, comprising:

collecting 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;

aggregating the demand response loads based on the demand response asset data and forecast data into a demand response portfolio, wherein the demand response assets are aggregated to participate in energy markets based on one or more forecasted financial requirements in the markets;

monitoring power demand of the one or more demand response customers and one or more power grids; and

notifying one or more demand response customers of the demand response portfolio; and

notifying 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,

wherein the demand response data includes geocodes for each of the one or more demand response loads and wherein the forecast data includes operational data, market data and weather data, and

the collecting, aggregating, monitoring, and notifying steps are automatically performed by a computer.