IP Library Granted Patent US 12,579,588
Granted Patent B2
US 12,579,588 · App. 17/373,679 · Granted Mar 17, 2026

Method and system utilizing one or more virtual power plant capacity units

Inventor: Erik Mowery Simpson (Houston, TX)
Assignee: CIRCLESX LLC
G06Q50/06G06F3/011G06Q30/08G06Q40/04
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Quick Facts
Patent No.
US 12,579,588
App. No.
17/373,679
Filed
Jul 12, 2021
Granted
Mar 17, 2026
Kind
B2
Art Unit
3628
USPC
705/335
Abstract

Various implementations directed to price time priority queue for virtual power plant and connected grid aggregation are provided. In one implementation, a method may include receiving origin location data and destination location data. The method may also include generating nodal power networks based on the optimized origin location data and the destination location data. The method may further include determining virtual power plant hubs along the transmission route and network, where the virtual hubs include a first virtual hub based on the origin location data and a second virtual hub based on the destination location data. The method may additionally include receiving power device data for the geolocation exchange units. In addition, the method may include receiving market depth data for a geolocation exchange for the geolocation exchange units based on the virtual power plant nodal sequences.

Claims (67)

1 . A method, comprising:

determining power portfolio data for one or more first users having a plurality of power devices, wherein the power portfolio data comprises a plurality of power data objects corresponding to the plurality of power devices;

determining a plurality of optimized weight values for the plurality of power data objects based on the power portfolio data;

determining a plurality of optimized power objects based on the plurality of optimized weight values, wherein the plurality of optimized power objects is a subset of the plurality of power data objects;

receiving market depth data for one or more virtual power plant capacity units of a virtual power plant capacity exchange, wherein:

the one or more virtual power plant capacity units correspond to available power capacity configured for physical transfer for one or more second users of the virtual power plant capacity exchange; and

the market depth data comprises data indicating one or more bid prices and one or more offer prices from the one or more second users for the one or more virtual power plant capacity units; and

transmitting transaction input data from the one or more first users based on the plurality of optimized power objects and the market depth data, wherein the transaction input data comprises data indicating an acceptance or a rejection by the one or more first users of the one or more bid prices or the one or more offer prices.

2 . The method of claim 1 , further comprising:

receiving satellite navigation data corresponding to the one or more first users; and

determining the one or more first users based on the satellite navigation data.

3 . The method of claim 1 , wherein the power portfolio data further comprises data corresponding to historical power consumption by the plurality of power devices, historical power generation by the plurality of power devices, current power consumption by the plurality of power devices, current power generation by the plurality of power devices, future power consumption by the plurality of power devices, future power generation by the plurality of power devices, or combinations thereof.

4 . The method of claim 1 , wherein the plurality of power devices comprises one or more power generation devices and one or more power consumption devices.

5 . The method of claim 4 , wherein:

the one or more power generation devices comprise one or more solar power generating devices, one or more battery devices, one or more wind power generating devices, one or more biomass power generating devices, one or more geothermal power generating devices, one or more hydroelectric power generating devices, one or more tidal power generating devices, one or more hydrogen power generating devices, one or more lunar power generating devices, one or more plant power generating devices, one or more chlorophyll power generating devices, or combinations thereof; and

the one or more power consumption devices comprise one or more computing devices, one or more electronic devices, one or more lighting devices, one or more lamps, one or more appliances, one or more smart meters, one or more vehicles, or combinations thereof.

6 . The method of claim 1 , wherein the plurality of power data objects comprises a plurality of data objects corresponding to power consumption and power generation by the plurality of power devices.

7 . The method of claim 1 , wherein determining the plurality of optimized weight values comprises:

determining a plurality of expected values for the plurality of power data objects, wherein a respective expected value corresponds to an expected power utility of one or more respective power data objects for the one or more first users;

determining a plurality of standard deviation values for the plurality of power data objects based on the plurality of expected values;

determining a plurality of ratios for the plurality of power data objects based on the plurality of expected values and the plurality of standard deviation values; and

determining the plurality of optimized weight values based on the plurality of ratios.

8 . The method of claim 7 , wherein determining the plurality of expected values comprises:

determining a plurality of utility values for the plurality of power data objects based on one or more utility functions, wherein the one or more utility functions correspond to one or more user preferences of the one or more first users, and wherein a respective utility value corresponds to a utility of the one or more respective power data objects for the one or more first users;

determining a plurality of probability weight values for the plurality of utility values based on historical data for the one or more first users; and

determining the plurality of expected values based on the plurality of probability weight values and the plurality of utility values.

9 . The method of claim 1 , wherein determining the plurality of optimized power objects comprises:

determining a plurality of allocations for the plurality of power data objects; and

identifying the plurality of optimized power objects based on the plurality of optimized weight values and the plurality of allocations.

10 . The method of claim 1 , wherein the data indicating the acceptance or the rejection comprises data indicating an acceptance by the one or more first users of a respective bid price by a respective second user for a respective virtual power plant capacity unit, wherein the respective virtual power plant capacity unit corresponds to the subset of the plurality of power data objects.

11 . The method of claim 10 , further comprising:

receiving a forward commodity contract between the one or more first users and the respective second user, wherein the forward commodity contract corresponds to the respective bid price; and

arranging for a physical delivery corresponding to the respective virtual power plant capacity unit, wherein the physical delivery comprises power transfer using one or more power transmission lines, power transfer using one or more vehicles, or combinations thereof.

12 . The method of claim 1 , wherein the data indicating the acceptance or the rejection comprises data indicating an acceptance by the one or more first users of a respective offer price by a respective second user for a respective virtual power plant capacity unit, wherein the respective virtual power plant capacity unit corresponds to a respective available power capacity associated with the respective second user.

13 . The method of claim 12 , further comprising:

receiving a forward commodity contract between the one or more first users and the respective second user, wherein the forward commodity contract corresponds to the respective offer price; and

arranging for a physical delivery corresponding to the respective virtual power plant capacity unit, wherein the physical delivery comprises power transfer using one or more power transmission lines, power transfer using one or more vehicles, or combinations thereof.

14 . The method of claim 1 , wherein transmitting the transaction input data comprises:

determining one or more power costs associated with the one or more first users, wherein the one or more power costs comprise one or more power consumptions costs associated with the plurality of power devices, one or more power generation costs associated with the plurality of power devices, one or more transportation costs, one or more emissions costs, one or more pollution costs, one or more health costs, one or more virtual work environment costs, one or more virtual transportation costs, or combinations thereof;

determining one or more net savings values associated with the one or more first users based on the one or more power costs, the plurality of optimized power objects, and the market depth data, wherein the one or more net savings values correspond to one or more financial savings associated with the one or more first users, one or more pollution savings associated with the one or more first users, or combinations thereof; and

transmitting the transaction input data from the one or more first users based on the one or more net savings values.

15 . The method of claim 8 , wherein:

the one or more user preferences comprise one or more preferences relating to motor life associated with the plurality of power devices, one or more power costs associated with the one or more first users, or combinations thereof; and

the one or more power costs comprise one or more power consumptions costs associated with the plurality of power devices, one or more power generation costs associated with the plurality of power devices, one or more transportation costs, one or more emissions costs, one or more pollution costs, one or more health costs, one or more virtual work environment costs, one or more virtual transportation costs, or combinations thereof.

16 . A computing system, comprising:

one or more processors; and

at least one memory comprising program instructions executable by the one or more processors to:

determine power portfolio data for one or more first users having a plurality of power devices, wherein the power portfolio data comprises a plurality of power data objects corresponding to the plurality of power devices;

determine a plurality of optimized weight values for the plurality of power data objects based on the power portfolio data;

determine a plurality of optimized power objects based on the plurality of optimized weight values, wherein the plurality of optimized power objects is a subset of the plurality of power data objects;

receive market depth data for one or more virtual power plant capacity units of a virtual power plant capacity exchange, wherein:

the one or more virtual power plant capacity units correspond to available power capacity configured for physical transfer for one or more second users of the virtual power plant capacity exchange; and

the market depth data comprises data indicating one or more bid prices and one or more offer prices from the one or more second users for the one or more virtual power plant capacity units; and

transmit transaction input data from the one or more first users based on the plurality of optimized power objects and the market depth data, wherein the transaction input data comprises data indicating an acceptance or a rejection by the one or more first users of the one or more bid prices or the one or more offer prices.

17 . The computing system of claim 16 , wherein the power portfolio data further comprises data corresponding to historical power consumption by the plurality of power devices, historical power generation by the plurality of power devices, current power consumption by the plurality of power devices, current power generation by the plurality of power devices, future power consumption by the plurality of power devices, future power generation by the plurality of power devices, or combinations thereof.

18 . The computing system of claim 16 , wherein the plurality of power devices comprises one or more power generation devices and one or more power consumption devices.

19 . A non-transitory computer-readable medium having stored thereon a plurality of computer-executable instructions which, when executed by a computer, causes the computer to:

determine power portfolio data for one or more first users having a plurality of power devices, wherein the power portfolio data comprises a plurality of power data objects corresponding to the plurality of power devices;

determine a plurality of optimized weight values for the plurality of power data objects based on the power portfolio data;

determine a plurality of optimized power objects based on the plurality of optimized weight values, wherein the plurality of optimized power objects is a subset of the plurality of power data objects;

receive market depth data for one or more virtual power plant capacity units of a virtual power plant capacity exchange, wherein:

the one or more virtual power plant capacity units correspond to available power capacity configured for physical transfer for one or more second users of the virtual power plant capacity exchange; and

the market depth data comprises data indicating one or more bid prices and one or more offer prices from the one or more second users for the one or more virtual power plant capacity units; and

transmit transaction input data from the one or more first users based on the plurality of optimized power objects and the market depth data, wherein the transaction input data comprises data indicating an acceptance or a rejection by the one or more first users of the one or more bid prices or the one or more offer prices.

20 . The non-transitory computer-readable medium of claim 19 , wherein:

the one or more power generation devices comprise one or more solar power generating devices, one or more battery devices, one or more wind power generating devices, one or more biomass power generating devices, one or more geothermal power generating devices, one or more hydroelectric power generating devices, one or more tidal power generating devices, one or more hydrogen power generating devices, one or more lunar power generating devices, one or more plant power generating devices, one or more chlorophyll power generating devices, or combinations thereof; and

the one or more power consumption devices comprise one or more computing devices, one or more electronic devices, one or more lighting devices, one or more lamps, one or more appliances, one or more smart meters, one or more vehicles, or combinations thereof.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 25, 2021
From: SIMPSX TECHNOLOGIES LLC
To: CIRCLESX LLC
Reel/Frame 058251/0180 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 12, 2021
From: SIMPSON, ERIK MOWERY
To: SIMPSX TECHNOLOGIES LLC
Reel/Frame 056829/0900 →
Continuity (30)
Continuation In Part 17358429 · Jun 25, 2021
Continuation In Part 17349829 · Jun 16, 2021
Continuation In Part 17324051 · May 18, 2021
Continuation In Part 17082254 · Oct 28, 2020
Continuation In Part 17069597 · Oct 13, 2020
Continuation In Part 16666264 · Oct 28, 2019
Continuation In Part 16589229 · Oct 1, 2019
Continuation In Part 16556838 · Aug 30, 2019
Continuation In Part 16397685 · Apr 29, 2019
Continuation In Part 16359841 · Mar 20, 2019
Continuation In Part 16357241 · Mar 18, 2019
Continuation In Part 16274490 · Feb 13, 2019
Continuation In Part 16258658 · Jan 27, 2019
Continuation In Part 16257032 · Jan 24, 2019
Continuation In Part 16242981 · Jan 8, 2019
Continuation In Part 16242967 · Jan 8, 2019
Continuation In Part 16239485 · Jan 3, 2019
Continuation In Part 16183647 · Nov 7, 2018
Continuation In Part 16167525 · Oct 22, 2018
Continuation In Part 15877393 · Jan 23, 2018
Continuation 15406374 · Jan 13, 2017
Continuation 15266326 · Sep 15, 2016
Provisional Application 63052159 · Jul 15, 2020
Provisional Application 63051373 · Jul 13, 2020
Provisional Application 63044997 · Jun 26, 2020
Provisional Application 63039918 · Jun 16, 2020
Provisional Application 63027344 · May 19, 2020
Provisional Application 62927081 · Oct 28, 2019
Provisional Application 62914427 · Oct 12, 2019
Related Publication 20220004307A1 · Jan 6, 2022
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