DATA AGGREGATION WITH FORWARD PREDICTION FOR A DISTRIBUTED GRID NODE

• US 20160087434A1
• Filed: 07/04/2015
• Published: 03/24/2016
• Est. Priority Date: 07/04/2014
• Status: Abandoned Application

• Current Assignee: Xslent Energy Technologies, LLC
• Original Assignee: Xslent Energy Technologies, LLC
• Inventors: Matan, Stefan, Horton, Fred C, Marrone, Frank P, Borzini, Clayton
• Application Number:
  US14/791,442
• Publication Number:
  US 20160087434A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01R 11/54 for measuring simultaneously at least two of the following three variables: real component, reactive component, apparent energy
• CPC Class Codes: G05B 13/026 using a predictor
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: G06G 7/635 for determining the most economical distribution in power systems
• CPC Class Codes: H02J 13/00 Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
• CPC Class Codes: H02J 13/00002 characterised by monitoring
• CPC Class Codes: H02J 13/00004 characterised by the power network being locally controlled
• CPC Class Codes: H02J 13/00034 the elements or equipment being or involving an electric power substation
• CPC Class Codes: H02J 2300/20 The dispersed energy generation being of renewable origin
• CPC Class Codes: H02J 2310/10 The network having a local or delimited stationary reach
• CPC Class Codes: H02J 2310/16 The load or loads being an Information and Communication Technology [ICT] facility
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: H02J 3/01 Arrangements for reducing harmonics or ripples
• CPC Class Codes: H02J 3/06 Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
• CPC Class Codes: H02J 3/12 for adjusting voltage in ac networks by changing a characteristic of the network load
• CPC Class Codes: H02J 3/18 Arrangements for adjusting, eliminating or compensating reactive power in networks for adjustment of voltage H02J3/16
• CPC Class Codes: H02J 3/28 Arrangements for balancing of the load in a network by storage of energy
• CPC Class Codes: H02J 3/38 Arrangements for parallely feeding a single network by two or more generators, converters or transformers
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: H02M 1/42 : Circuits or arrangements for compensating for or adjusting power factor in converters or inverters
• CPC Class Codes: Y02B 70/30 : Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• 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: Y02E 10/56 : Power conversion systems, e.g. maximum power point trackers
• CPC Class Codes: Y02E 40/30 : Reactive power compensation
• CPC Class Codes: Y02E 40/40 : Arrangements for reducing harmonics
• CPC Class Codes: Y02E 40/70 : Smart grids as climate change mitigation technology in the energy generation sector
• CPC Class Codes: Y04S 10/123 : the energy generation units being or involving renewable energy sources
• CPC Class Codes: Y04S 20/12 : Energy storage units, uninterruptible power supply [UPS] systems or standby or emergency generators, e.g. in the last power distribution stages
• CPC Class Codes: Y04S 20/221 : General power management systems
• CPC Class Codes: Y04S 20/222 : Demand response systems, e.g. load shedding, peak shaving

Abstract

Data aggregation enables a local control response based on forward prediction at a consumer node of a distributed grid network. A consumer node includes a local energy meter that receives grid condition information, including an aggregation of multiple inputs indicating an electrical condition of the grid network, local operating conditions at the PCC, and local power demand. The consumer node accesses operating history for a local control node, the operating history including records of previous power output for various grid conditions and operating conditions. Based on the operating history and the aggregation information, the consumer node calculates an output power to generate with a local power converter, which outputs the power based in accordance with the calculation.

Claims

1. A method for interfacing with a power grid network, comprising:

receiving grid condition information at a meter on a consumer side of a point of common coupling (PCC) to the grid network, wherein the grid condition information includes an aggregation of multiple inputs indicating an electrical condition of the grid network and local operating conditions at the PCC, including local power demand;

accessing operating history for a local control node, the operating history including records of previous power output for various grid conditions and operating conditions at the PCC;

calculating an output power to generate with a local power converter coupled to the consumer side of the PCC, based on the multiple inputs, the local power demand, and the operating history; and

outputting power from the local power converter based on the calculated output power.

2. The method of claim 1, wherein receiving the external grid inputs comprises receiving one or more of dispatch information from a central grid controller, specific control signals from a grid controller, or grid condition information from other nodes in the grid network.

3. The method of claim 1, wherein receiving the local sensor inputs comprises receiving one or more of temperature information, or information regarding one or more conditions that affect an ability of a local energy source to generate energy.

4. The method of claim 1, wherein accessing the operating history comprises accessing operating conditions based on time of day.

5. The method of claim 1, wherein accessing the operating history comprises accessing operating conditions based on time of year.

6. The method of claim 1, wherein calculating the output power further comprises accessing rate information indicating prices for consumer real power, market real power, consumer reactive power, and ancillary markets.

7. The method of claim 6, wherein accessing the operating history comprises accessing historical rate information.

8. The method of claim 1, wherein calculating the output power comprises determining operations to be performed by multiple power converters coupled to the consumer side of the PCC.

9. The method of claim 1, wherein outputting power further comprises activating a local energy storage for the calculated output power.

10. The method of claim 1, wherein outputting power comprises outputting power for consumption by a local capacity.

11. The method of claim 1, wherein outputting power comprises outputting to a power grid market or to one or more ancillary services, including real and/or reactive power grid support, frequency support for the grid network, blackstart operation, regulation up operation, regulation down operation, or a combination.

12. A consumer node in a grid network of a power grid system, comprising:

an energy meter on a consumer side of a point of common coupling (PCC) to the grid network, the energy meter to receive grid condition information including an aggregation of multiple inputs indicating an electrical condition of the grid network and local operating conditions at the PCC, including local power demand;

a local power converter coupled to the consumer side of the PCC, the power converter to control an interface to the PCC to control power flow at the PCC;

a memory device to store operating history for the consumer node including records of previous power output for various grid conditions and operating conditions at the PCC; and

a gateway controller coupled to receive information from the energy meter, to calculate an output power to generate with the local power converter, based on the multiple inputs, the local power demand, and the operating history, and to request the power converter to output the calculated output power.

13. The consumer node of claim 12, wherein the gateway controller is to calculate the output power based at least in part on operating conditions based on time of day or time of year or both.

14. The consumer node of claim 12, wherein the gateway controller is to calculate the output power based at least in part on historical rate information.

15. The consumer node of claim 12, wherein the gateway controller is to calculate the output power further based at least in part on extrapolation of historical information indicating a history of how local power demand and local power generation has occurred in the past.

16. The consumer node of claim 12, wherein the power converter is to output power for local capacity or to a power grid market, or to one or more ancillary services, including real and/or reactive power grid support, frequency support for the grid network, blackstart operation, regulation up operation, regulation down operation, or a combination.

17. A power grid system, comprising:

a grid connector to couple a local consumer node to a utility power grid at a consumer side of a point of common coupling (PCC);

a local energy source coupled on the consumer side of the PCC; and

a control node coupled to the local energy source at the PCC, the control node including

an energy meter on a consumer side of a point of common coupling (PCC) to the grid network, the energy meter to receive grid condition information including an aggregation of multiple inputs indicating an electrical condition of the grid network and local operating conditions at the PCC, including local power demand;

a local power converter coupled to the consumer side of the PCC, the power converter to control an interface to the PCC to control power flow at the PCC;

a memory device to store operating history for the consumer node including records of previous power output for various grid conditions and operating conditions at the PCC; and

a gateway controller coupled to receive information from the energy meter, to calculate an output power to generate with the local power converter including from the local energy source, based on the multiple inputs, the local power demand, and the operating history, and to request the power converter to output the calculated output power.

18. The power grid system of claim 17, wherein the gateway controller is to calculate the output power based at least in part on operating conditions based on time of day or time of year or both.

19. The power grid system of claim 17, wherein the gateway controller is to calculate the output power based at least in part on historical rate information.

20. The power grid system of claim 17, wherein the power converter is to output power to a power grid market, or to one or more ancillary services, including real and/or reactive power grid support, frequency support for the grid network, blackstart operation, regulation up operation, regulation down operation, or a combination.