Adaptive energy storage operating system for multiple economic services

• US 10,409,241 B2
• Filed: 10/10/2017
• Issued: 09/10/2019
• Est. Priority Date: 05/19/2012
• Status: Active Grant

• Current Assignee: Growing Energy Labs, Inc.
• Original Assignee: Growing Energy Labs, Inc.
• Inventors: Wartena, Ryan Craig, Wagner, Ernest Crispell
• Primary Examiner(s): Dunn, Darrin D
• Application Number:
  US15/729,193
• Publication Number:
  US 20180203424A1
• Time in Patent Office: 700 Days
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: H02J 4/00 Circuit arrangements for mains or distribution networks not specified as ac or dc
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving

Abstract

The present disclosure provides an adaptive energy storage operating system that is programmed or otherwise configured to operate and optimize various types of energy storage devices.

Claims

1. A system for managing and adaptively optimizing an energy storage system, comprising:

a plurality of subsystems, wherein each subsystem is configured to be implemented locally and adaptive to multiples types of energy storage components of the energy storage system, and wherein each subsystem comprises;

one or more processors, and memory comprising a set of instructions executable by the one or more processors to cause the subsystem to;

detect a physical connection to an energy storage component of the energy storage system;

communicate, via a given driver among a plurality of drivers stored locally within the subsystem, with the energy storage system, wherein the driver is automatically selected for the energy storage system upon a detection of a connection to an energy storage component of the energy storage system;

access a set of libraries, wherein each library among the set of libraries, upon execution by the one or more processors, implements energy-related data transformations and energy-related data calculations using input from the energy storage system, wherein the input is provided with the aid of the given driver; and

perform, by selecting an application from a plurality of applications, (i) an energy-related function or economic-related function using input from the energy storage system that is provided with the aid of the given driver, and (ii) optimization of the energy storage system based on adaptive rules and algorithms for the selected application, allowing the subsystem to reliably coordinate with other energy storage components of the energy storage system via the respective subsystems.

2. The system of claim 1, which the given driver is selected for the energy storage system upon detection of the type of the energy storage component from the plurality of types of energy storage components.

3. The system of claim 2, wherein the given driver is automatically selected without use of a network connection upon recognition of a type of the energy storage component from a plurality of types of energy storage components and the detection of a wired connection to the energy storage component.

4. The system of claim 1, wherein at least a portion of the plurality of applications is stored locally in the memory.

5. The system of claim 1, wherein the plurality of energy storage components of the energy storage system require different controlling or communication protocols to communicate with the subsystem.

6. The system of claim 1, wherein the given driver enables communication with a power conversion system of the energy storage system.

7. The system of claim 1, wherein the given driver enables communication with a battery management system of the energy storage system.

8. The system of claim 1, wherein the given driver enables automation of the energy storage system.

9. The system of claim 1, wherein a given library among the set of libraries contains reference materials.

10. The system of claim 1, wherein the set of libraries include a utility rate structure library, a smart grid communication protocol library, a manufacturer operating parameters library, or a combination thereof.

11. The system of claim 1, wherein a given application among the plurality of applications is for providing an energy service or economic service.

12. The system of claim 11, wherein the energy service is selected from the group consisting of detecting energy storage device charge, ancillary services, optimum demand charge management, time of use shifting, demand shifting, demand response, energy capacity, spinning reserve capacity, ramp rate service, renewable energy firming, frequency regulation, voltage regulation, transformer unloading and management, peaking power, emergency and backup power services, and power quality services, and electric vehicle charging.

13. The system of claim 1, wherein at least one application of the plurality of applications are programmed to be implemented, with the aid of the computer processors, in accordance with adaptive rules and adaptive algorithms for achieving an objective across multiple applications and multiple energy storage components.

14. The system of claim 13, wherein the subsystem coordinates components of the energy storage system to capture value from one or more of the energy service or economic service provided by the energy storage system.

15. The system of claim 1, wherein the energy storage component is not a controller of the energy storage system.

16. The system of claim 1, wherein the given driver permits communication with only the energy storage component of the energy storage system.