Managing energy assets associated with transport operations

• US 9,514,428 B2
• Filed: 10/29/2012
• Issued: 12/06/2016
• Est. Priority Date: 10/28/2011
• Status: Active Grant

• Current Assignee: Viridity Energy Solutions, Inc.
• Original Assignee: Viridity Energy Incorporated
• Inventors: Steven, Alain P., Devore, Duncan K., Stewart, Craig
• Primary Examiner(s): Masinick, Michael D
• Application Number:
  US14/354,875
• Publication Number:
  US 20140304025A1
• Time in Patent Office: 1,499 Days
• US Class Current: 1/1
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/06314 Calendaring for a resource
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 13/00016 using a wired telecommunication network or a data transmission bus
• CPC Class Codes: H02J 13/00022 using wireless data transmission
• CPC Class Codes: H02J 13/00028 involving the use of Internet protocols
• CPC Class Codes: H02J 13/00034 the elements or equipment being or involving an electric power substation
• CPC Class Codes: H02J 2203/20 Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 3/008 involving trading of energy or energy transmission rights
• CPC Class Codes: H02J 3/28 Arrangements for balancing of the load in a network by storage of energy
• 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 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 10/14 Energy storage units
• 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 20/221 General power management systems
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 40/124 : using wired telecommunication networks or data transmission busses
• CPC Class Codes: Y04S 40/126 : using wireless data transmission
• CPC Class Codes: Y04S 40/20 : Information technology specific aspects, e.g. CAD, simulation, modelling, system security
• CPC Class Codes: Y04S 50/10 : Energy trading, including energy flowing from end-user application to grid

Abstract

Apparatus, systems, and methods are described that can be used to generate an operating schedule for a controller of an energy storage asset that is in communication with a transport vehicle, based on an optimization process. The operating schedule is generated based on an operation characteristic of the energy storage asset, an energy-generating capacity of the transport vehicle in communication with the energy storage asset based on a motion of the transport vehicle, and a price associated with a market (including a regulation market and/or an energy market). Operation of the energy storage asset according to the generated operating schedule facilitates derivation of energy-related revenue, over a time period T. The energy-related revenue available to the energy customer over the time period T is based at least in part on the regulation market and/or the energy market.

Claims

1. An apparatus for determining an operating schedule of a controller of at least one energy storage asset operated by an energy customer of an electricity supplier, so as to generate energy-related revenue, over a time period T, associated with operation of the at least one energy storage asset according to the operating schedule, wherein the energy-related revenue available to the energy customer over the time period T is based at least in part on a regulation market and/or a wholesale electricity market, the apparatus comprising:

at least one communication interface;

at least one memory to store processor-executable instructions and a mathematical model for the at least one energy storage asset, wherein the at least one energy storage asset comprises at least one electric vehicle and/or at least one hybrid electric vehicle, wherein the mathematical model facilitates a determination of the operating schedule for the controller of the at least one energy storage asset based at least in part on an operation characteristic of the at least one energy storage asset, an energy-generating capacity of at least one energy generating asset in communication with the energy storage asset, and (i) a regulation price associated with the regulation market and/or (ii) a forecast wholesale electricity price associated with the wholesale electricity market; and

at least one processing unit, communicatively coupled to the at least one communication interface and the at least one memory, wherein upon execution of the processor-executable instructions, the at least one processing unit;

A) determines the operating schedule for the controller of the at least one energy storage asset based on an optimization process using the mathematical model; and

B) controls the at least one communication interface to transmit to the energy customer the operating schedule for the controller of the at least one energy storage asset determined in A), and/or controls the at least one memory so as to store the determined operating schedule for the controller,

wherein the operating schedule for the controller of the at least one energy storage asset specifies a first time interval within the time period T for use of the energy storage asset in the regulation market and a second time interval within the time period T for use of the energy storage asset in the wholesale electricity market.

2. The apparatus of claim 1, wherein the second time interval within the time period T for use of the energy storage asset in the energy market is specified when the forecast wholesale electricity price for the energy market is above a predetermined threshold value.

3. The apparatus of claim 1, wherein the at least one energy generating asset comprises at least one photovoltaic cell, at least one wind generator, or at least one diesel generator.

4. The apparatus of claim 1, wherein the operation characteristic of the at least one energy storage asset is at least one of a state of charge, a charge rate, a degree of non-linearity of charge rate a discharge rate, a degree of non-linearity of discharge rate, a round trip efficiency, and a degree of life reduction.

5. The apparatus of claim 1, wherein the energy storage asset is at least one battery, and wherein the at least one battery is a lithium ion battery, a lead acid battery, a flow battery, or a cell battery.

6. An apparatus for determining an operating schedule of a controller of at least one energy storage asset operated by an energy customer of an electricity supplier, so as to generate energy-related revenue, over a time period T, associated with operation of the at least one energy storage asset according to the operating schedule, wherein the energy-related revenue available to the energy customer over the time period T is based at least in part on a regulation market and/or a wholesale electricity market, the apparatus comprising:

at least one communication interface;

at least one memory to store processor-executable instructions and a mathematical model for the at least one energy storage asset, wherein the at least one energy storage asset comprises at least one electric vehicle and/or at least one hybrid electric vehicle, wherein the mathematical model facilitates a determination of the operating schedule for the controller of the at least one energy storage asset based at least in part on an operation characteristic of the at least one energy storage asset, an energy-generating capacity of at least one energy generating asset in communication with the energy storage asset, and (i) a regulation price associated with the regulation market and/or (ii) a forecast wholesale electricity price associated with the wholesale electricity market; and

at least one processing unit, communicatively coupled to the at least one communication interface and the at least one memory, wherein upon execution of the processor-executable instructions, the at least one processing unit;

A) determines the operating schedule for the controller of the at least one energy storage asset based on an optimization process using the mathematical model; and

B) controls the at least one communication interface to transmit to the energy customer the operating schedule for the controller of the at least one energy storage asset determined in A), and/or controls the at least one memory so as to store the determined operating schedule for the controller,

wherein, upon execution of the processor-executable instructions, the at least one processing unit determines the operating schedule for the controller of the at least one energy storage asset using the mathematical model in A) by minimizing a net energy-related cost over the time period T, wherein the net-energy related cost is based at least in part on;

an amount of energy accumulated in the energy storage asset based on the energy-generating capacity of the energy generating asset;

electricity generation by the at least one energy storage asset; and

electricity consumption by the at least one energy storage asset; and

wherein the energy-related revenue available to the energy customer is based at least in part on the minimized net energy-related cost.

7. The apparatus of claim 6, wherein the net energy-related cost is specified as a difference between an electricity supply cost and an economic demand response revenue over the time period T.

8. The apparatus of claim 6, wherein the mathematical model facilitates a determination of the operating schedule for the controller of the at least one energy storage asset based at least in part on a replacement cost for the at least one energy storage asset.

9. An apparatus for determining an operating schedule of a controller of at least one energy storage asset operated by an energy customer of an electricity supplier, so as to generate energy-related revenue, over a time period T, associated with operation of the at least one energy storage asset according to the operating schedule, wherein the energy-related revenue available to the energy customer over the time period T is based at least in part on a regulation market and/or a wholesale electricity market, the apparatus comprising:

at least one communication interface;

at least one memory to store processor-executable instructions and a mathematical model for the at least one energy storage asset, wherein the at least one energy storage asset comprises at least one electric vehicle and/or at least one hybrid electric vehicle, wherein the mathematical model facilitates a determination of the operating schedule for the controller of the at least one energy storage asset based at least in part on an operation characteristic of the at least one energy storage asset, an energy-generating capacity of at least one energy generating asset in communication with the energy storage asset, and (i) a regulation price associated with the regulation market and/or (ii) a forecast wholesale electricity price associated with the wholesale electricity market; and

at least one processing unit, communicatively coupled to the at least one communication interface and the at least one memory, wherein upon execution of the processor-executable instructions, the at least one processing unit;

A) determines the operating schedule for the controller of the at least one energy storage asset based on an optimization process using the mathematical model; and

B) controls the at least one communication interface to transmit to the energy customer the operating schedule for the controller of the at least one energy storage asset determined in A), and/or controls the at least one memory so as to store the determined operating schedule for the controller,

wherein the operating schedule for the controller of the at least one energy storage asset specifies a first time interval within the time period T for use of the energy storage asset in the regulation market and a second time interval within the time period T for charging the at least one energy storage asset.