RENEWABLE ENERGY INTEGRATED STORAGE AND GENERATION SYSTEMS, APPARATUS, AND METHODS WITH CLOUD DISTRIBUTED ENERGY MANAGEMENT SERVICES

• US 20170005515A1
• Filed: 07/04/2015
• Published: 01/05/2017
• Est. Priority Date: 07/04/2015
• Status: Active Grant

• Current Assignee: Sunverge Energy, Inc.
• Original Assignee: Dean Sanders, Stu Statman
• Inventors: SANDERS, Dean, STATMAN, Stu
• Granted Patent: US 9,960,637 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 15/02 electric
• 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 15/00 Systems for storing electric energy mechanical systems therefor F01-F04; in chemical form H01M
• CPC Class Codes: H02J 2300/10 The dispersed energy generation being of fossil origin, e.g. diesel generators
• CPC Class Codes: H02J 2300/24 of photovoltaic origin
• CPC Class Codes: H02J 2310/12 The local stationary network supplying a household or a building
• CPC Class Codes: H02J 2310/60 Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: H02J 3/32 using batteries with converting means
• CPC Class Codes: H02J 3/322 the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
• 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: H02J 3/388 Islanding, i.e. disconnection of local power supply from the network
• CPC Class Codes: H02J 3/46 Controlling of the sharing of output between the generators, converters, or transformers
• CPC Class Codes: H02J 7/35 with light sensitive cells
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02E 10/56 Power conversion systems, e.g. maximum power point trackers
• CPC Class Codes: Y02E 60/00 : Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y02E 70/30 : Systems combining energy storage with energy generation of non-fossil origin
• CPC Class Codes: Y02T 90/167 : Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: Y04S 10/126 : the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
• CPC Class Codes: Y04S 20/222 : Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 30/12 : Remote or cooperative charging

Abstract

A software platform in communication with networked distributed energy resource energy storage apparatus, configured to deliver various specific applications related to offset demand monitoring, methods of virtual power plant and orchestration, load shaping services, methods of reducing demand at aggregated level, prioritizing computer programs related to virtual energy pool, energy cloud controllers methods, charge discharge orchestration plans of electric vehicles, distributed energy resources, machine learning predictive algorithms, value optimizing algorithms, autonomous sensing event awareness, mode selection methods, capacity reservation monitoring, virtual power plant methods, advanced DER-ES apparatus features, energy management system for governing resources and methods, aggregated energy cloud methods, load shaping methods, marginal cost cycle-life degradation, load shaping API, forward event schedule, on demand request, and load service state request methods. Various rules, constraints of predictive algorithms for signal inputs to determine incremental storage cycles, cycle life degradation marginal cost, iterative and forward event schedule development, and load control.

Claims

1. A method of mode selection management in a distributed energy resource energy storage apparatus, comprising:

providing one or more distributed energy resource energy storage (DER-ES) apparatus at a user site, each DER-ES apparatus having a housing at each of the one or more site meters at the user site location, each DER-ES apparatus further having one or more energy storage devices in an intelligent energy storage compartment, one or more inverters, one or more charge controllers, one or more gateway controllers each having one or more computer programs performing instructions from one or more processors, a common DC bus, and an integrated, engineered power and signal processing system that together allows each DER-ES apparatus to function as a site integration system;

automatically setting one or more distributed energy resource energy storage apparatus to charge one or more renewable energy storage devices;

providing one or more gateway controllers having one or more programs controlling one or more distributed energy resources associated with each of the one or more DER-ES apparatus associated with one or more user sites;

automatically polling each of the one or more programs for a requested mode at a reporting interval;

assigning a ranking identifier to the requested mode of each of the one or more programs; and

determining a highest priority set of programs from among the requested mode of each of the one or more programs.

2. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 1, further comprising:

implementing one or more rule sets to further assign a second ranking identifier to each of the requested modes of the set of the highest priority programs; and

selecting an active mode corresponding to the requested mode of the highest priority program.

3. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 1, further comprising:

assigning one or more resource reservations associated with each of the one or more DER-ES apparatus at each of the one or more user sites and further associated with an anticipated capacity of each of the one or more energy sources and each of the one or more energy storage devices to form a set of one or more capacity reservations;

monitoring a current state of storage and a current state of capacity reservations to identify whether a capacity reservation failure is present; and

overriding the requested mode of the highest priority program with a capacity reservation failure mode whenever a capacity reservation failure is present.

4. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 1, further comprising:

reacting to demand conditions on a critical load panel and a user site demand requirement thereby reducing grid demand and avoiding grid power export from a user site location.

5. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 1, further comprising:

calculating a site demand measurement, in a main load panel configuration, by identifying a minimum reading on the user site meter during a measurement period.

6. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 5, further comprising:

calculating a site demand measurement, in a main load panel configuration, by subtracting a maximum power dispatched from the grid side of a renewable energy site integration system from a minimum reading of the main load meter.

7. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 1, further comprising:

measuring a user site demand by reading one or more site loads;

selecting an active mode corresponding to the requested mode of the highest priority program;

implementing the active mode of the highest priority program to coordinate one or more energy resources in one or more local events;

housing an inverter in a common enclosure within the distributed energy resource energy storage apparatus;

reacting to demand conditions to match the site demand measurement with an inverter power output; and

controlling the inverter to dispatch the matching power output.

8. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 7, further comprising:

calculating one or more offset demand amounts associated with reducing one or more grid demand amounts;

calculating one or more offset demand amounts associated with avoiding one or more grid power export amounts;

selecting one or more offset energy demand amounts via a consumer web portal;

communicating with one or more network connected DER-ES apparatus via an energy cloud software platform;

creating one or more forward energy resource demand reservations for one or more of the DER-ES apparatus; and

retrieving one or more predictive data elements from the energy cloud software platform or an external third party provider via an external API.

9. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 8, further comprising:

providing the one or more offset energy demand amounts to an Internet user interface including one or more application programming interfaces coupled to a database repository, a display, and a utility enterprise database application associated with the energy cloud software platform;

communicating the one or more offset energy demand amounts with an energy area network that further connects the Internet user interface and utility enterprise database application to one or more user devices and appliances; and

aggregating one or more offset demand amounts of one or more DER-ES apparatus in a virtual energy pool.

10. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 9, further comprising:

negotiating one or more programs of the one or more distributed energy resource energy storage apparatus to provide integrated demand management at one or more individual user sites; and

coordinating one or more energy resources with one or more user site events.

11. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 10, further comprising:

reading one or more site loads from one or more site meters wherein the site configuration is selected from one of a group consisting of a site with a main load panel only, a site with a main load panel plus a critical load panel, and a site with neither a load panel or a critical load panel; and

managing one or more offset demand amounts related to one or more distributed energy resources.

12. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 1, further comprising:

one or more distributed energy resources of the one or more distributed energy resource energy storage apparatus wherein the one or more distributed energy resources are one or more user loads that are controlled by one or more sets of instructions from a remote central server;

selecting one or more executor modules running on a command virtualization layer of each of the one or more gateway controllers associated with the one or more distributed energy resource energy storage apparatus, to activate one or more virtual devices at a device virtualization layer, wherein the activated virtual devices control one or more physical devices;

receiving one or more command and control data command sets via one or more command channels from the remote central server or a third party external source API, wherein the one or more command sets control modes, actions, and device state in the one or more physical devices, to convert one or more formats and one or more protocols to one or more virtualized commands in a common command format;

utilizing the one or more virtualized commands by one or more executor modules running at a command virtualization layer to cause the execution of one or more virtual devices at the device virtualization layer to drive a corresponding physical device to a desired state; and

executing one or more virtual devices at the device virtualization layer with one or more other virtual devices in a hierarchical relationship.

13. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 11 wherein the one or more user loads are controlled by one or more sets of instructions from a distributed network database.

14. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 12, further comprising:

providing one or more CANBUS protocols to allow one or more components to communicate with each other without one or more central server or host computers.

15. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 12, further comprising:

providing at least one NIST approved CIM model.

16. The method of mode selection management in a distributed energy resource energy storage apparatus of claim 12, further comprising:

communicating via at least one SE2 compliant platform.

17. A method of offset demand monitoring in a distributed energy resource energy storage (DER-ES) apparatus, comprising steps for:

providing one or more communication protocols to allow one or more components of one or more DER-ES apparatus to communicate with each other without a host computer;

implementing one or more steps for one or more mode selection management methods via a gateway controller computer system associated with one or more DER-ES apparatus at a user site;

measuring a user site demand by reading one or more site loads;

selecting an active mode corresponding to the requested mode of the highest priority program;

implementing the active mode of the highest priority program to coordinate one or more energy resources in one or more local events;

housing an inverter in a common enclosure within the distributed energy resource energy storage apparatus;

reacting to demand conditions to match the site demand measurement with an inverter power output;

controlling the inverter to dispatch the matching power output calculating one or more offset demand amounts associated with reducing one or more grid demand amounts;

calculating one or more offset demand amounts associated with avoiding one or more grid power export amounts;

selecting one or more offset energy demand amounts;

communicating with one or more network connected DER-ES apparatus;

reading one or more site loads from one or more site meters wherein the site configuration is selected from one of a group consisting of a site with a main load panel only, a site with a main load panel plus a critical load panel, and a site with neither a load panel or a critical load panel;

managing one or more offset demand amounts related to one or more distributed energy resources;

charging one or more storage devices in a storage appliance from one or more renewable energy source charge controllers, wherein the storage appliance and charge controllers are integral to an associated DER-ES apparatus, and wherein charging the one or more storage devices continues until each of the one or more storage devices are fully charged, unless an amount of renewable energy power generated at the user site location is less than the required amount to charge the one or more storage devices, at which time the one or more storage devices receive power from the grid until fully charged;

measuring demand on one or more load panels to determine a DC bus support load power requirement and an AC inverter grid side power requirement, wherein the difference in power requirements determines an amount of offset energy demand, and limiting the export of renewable energy generation to the grid by measuring and storing renewable energy power generated in the DER-ES apparatus;

dispatching the renewable energy power in excess of site demand when the site demand measurement is more than or equal to a desired change amount;

calling an internal InvertToAC function in a gateway controller associated with the DER-ES apparatus to increment power output of an inverter housed within the DER-ES apparatus.

18. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 17, further comprising:

controlling AC power output of the DER-ES apparatus by a minimum change amount to increase a DC to AC inverter lifespan.

19. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 18, further comprising:

dispatching the renewable energy power in excess of site demand when the site demand measurement is more than or equal to twice a minimum change amount.

20. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 17, further comprising:

calculating an offset demand amount value by selecting a step function above the measured load value of a load demand curve to determine an offset demand output wattage for the distributed energy resource energy storage apparatus.

21. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 17, further comprising:

calculating an offset demand amount value by selecting a step function below the measured load value of a load demand curve to determine an offset demand output wattage for the distributed energy resource energy storage apparatus.

22. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 17, further comprising:

calculating an offset demand amount value by monitoring the measured load values in real time to determine a load demand curve; and

selecting an offset demand output wattage for the distributed energy resource energy storage apparatus.

23. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 17, further comprising:

calculating an offset demand amount value by selecting a step function above the measured load value of a load demand curve and adding a translation delta to shift the entire step function upward from the load demand curve values in order to determine an offset demand output wattage for the distributed energy resource storage apparatus.

24. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 17, further comprising:

calculating an offset demand amount value by selecting a step function below the measured load value of a load demand curve and adding a translation delta to shift the entire step function downward from the load demand curve values in order to determine an offset demand output wattage for the distributed energy resource energy storage apparatus.

25. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 17, further comprising:

instructing an inverter to invert an amount of output wattage equivalent to the offset demand amount.

26. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 17, further comprising:

providing one or more CANBUS protocols to allow one or more components to communicate with each other without one or more host computers.

27. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 17 wherein the protocols to allow one or more components to communicate with each other without one or more host computers is selected from a group consisting of PLC and ModBus.

28. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 17, further comprising:

establishing that a critical load panel is present at the site;

measuring an energy demand and taking a site demand measurement where the site meter is placed, wherein a renewable energy module in the distributed energy resource energy storage apparatus converts an amount of DC power equal to demand on the critical load panel for the site as true 0 AC;

starting offset demand monitoring with true 0 AC, wherein the critical load panel is supported by DC power in the distributed energy resource energy storage apparatus;

measuring demand for a waiting period to determine if power is being sent to the grid, and if so the distributed energy resource energy storage apparatus returns to true 0 AC;

determining whether the distributed energy resource energy storage apparatus is sending to the grid, power being consumed at the site, or is equal to demand at the site meter; and

determining site demand measurement by taking minimum reading on meter during a measurement period to determine offset demand for the site.

29. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 28, further comprising:

implementing one or more steps for demand management modes selection;

providing at least one of the DER-ES apparatus at a site meter at a user site;

configuring a target offset demand mode via a user preference of a gateway controller associated with the at least one DER-ES apparatus;

communicating with one or more network connected DER-ES apparatus via an energy cloud software platform;

creating one or more forward energy resource demand reservations for one or more of the distributed energy resource energy storage apparatus; and

retrieving one or more predictive data elements from the energy cloud software platform or an external third party provider via an external API to configure one or more user preferences.

30. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 29, further comprising:

implementing one or more steps for demand management modes selection;

configuring a target offset demand mode via one or more user preferences configuring the target offset demand mode in the DER-ES apparatus via a virtual network; and

coupling the target offset demand mode in the DER-ES apparatus via a user interface to the virtual network.

31. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 17, further comprising:

providing a plurality of renewable energy site integration systems that include one or more DER-ES apparatus at a plurality of site meters at a site location;

providing a main load meter edge device virtually networked to each of the plurality of distributed energy resource energy storage apparatus at the one or more site meters, wherein the edge device can be located at the site location or at another location;

establishing that a critical load panel is present at the site location;

measuring an energy demand and taking one or more site demand measurements where the one or more site meters is placed, wherein the one or more distributed energy resource energy storage apparatus each convert DC power equal to a site demand measurement on the critical load panel for the site location as true 0;

starting offset demand monitoring with true 0, wherein the critical load panel is supported by DC power in each of the one or distributed energy resource energy storage apparatus; and

taking the site demand measurement via each of the one or more distributed energy resource energy storage apparatus at the one or more site meters, wherein taking the site demand measurement comprises subtracting the maximum power sent out to a grid side of the one or more distributed energy resource energy storage apparatus from the reading of the main load meter edge device to provide a “

worst case”

site demand measurement for the plurality of site meters.

32. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 31, further comprising:

inverting to AC at 0 watts if the site demand measurement on any of the one or more site meters is less than zero; and

;

waiting five seconds and start measuring the site demand measurement at the one or more site meters again.

33. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 32, further comprising:

taking no action if, the site demand measurement is equal to or more than 0, but less than twice a minimum change; and

taking the site demand measurement via the one or more distributed energy resource energy storage apparatus at the one or more site meters.

34. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 33, further comprising:

inverting to AC with minimum change more watts than last site measurement when the site demand measurement is more than twice the minimum change.

35. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 34, further comprising;

configuring the offset demand via the virtual network, and

coupling a main load meter edge device via a user interface coupled to the virtual network.

36. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 17, further comprising:

providing one or more DER-ES apparatus at one or more site meters at a site location;

providing a main load meter edge device virtually networked to each of the one or more distributed energy resource energy storage apparatus at the one or more site meters, wherein the edge device can be located at the site location or at another location;

measuring an energy demand and taking one or more site demand measurements where the one or more site meters are placed; and

taking the site demand measurement via the one or more distributed energy resource energy storage apparatus at the one or more site meters, wherein taking the site demand measurement comprises subtracting the maximum power sent out to a grid side of the one or more distributed energy resource energy storage apparatus from the reading of the main load meter edge device to provide a “

worst case”

site demand measurement for the one or more site meters.

37. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 36, further comprising:

inverting to AC at 0 watts if the site demand measurement on any of the one or more site meters is less than zero; and

;

waiting five seconds and start measuring the site demand measurement at the one or more site meters again.

38. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 37, further comprising:

taking no action if, the site demand measurement is equal to or more than 0, but less than twice a minimum change; and

taking the site demand measurement via the one or more DER-ES apparatus at the one or more site meters.

39. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 38, further comprising:

inverting to AC with minimum change more watts than last site measurement when the site demand measurement is more than twice the minimum change.

40. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 17, further comprising:

linking one or more DNP3 platforms to facilitate communication between one or more data processing gateways and one or more components.

41. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 17, further comprising:

reducing aggregate demand on one or more network connected DER-ES apparatus by calling one or more offset demand modes associated with each one of the one or more network connected apparatus;

communicating with one or more network connected DER-ES apparatus via an energy cloud software platform;

creating one or more forward energy resource demand reservations for one or more of the distributed energy resource energy storage apparatus; and

retrieving one or more predictive data elements from the energy cloud software platform or an external third party provider via an external API.

42. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 41, further comprising:

orchestrating a virtual power plant of one or more aggregated user sites to act as a single entity to minimize the one or more forward energy resource demand reservations.

43. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 42, further comprising:

implementing a load shaping service model to reduce aggregate demand of one or more network connected apparatus.

44. The method of offset demand monitoring in a distributed energy resource energy storage apparatus of claim 41, further comprising:

reducing demand on an aggregated level of one or more network connected distributed energy resource energy storage apparatus;

providing one or more gateway controllers in communication with an energy cloud controller linked to an electric vehicle energy control center and a distributed energy management system.

45. A method of capacity reservation monitoring in a renewable energy site integration system, comprising the following steps in any order:

providing one or more distributed energy resource energy storage apparatus each having a housing at each of the one or more site meters at a site location, each distributed energy resource energy storage apparatus each further having one or more energy storage devices in an intelligent energy storage compartment, one or more inverters, one or more charge controllers, one or more gateway controllers, a common DC bus, and an integrated, engineered power and signal processing system;

automatically setting one or more distributed energy resource energy storage apparatus to charge one or more renewable energy storage devices;

monitoring a current state of storage and a current state of capacity reservations to identify whether a capacity reservation failure is present in the one or more renewable energy storage devices; and

overriding all programs and modes where a capacity reservation failure is present in the one or more renewable energy storage devices.

46. The method of capacity reservation monitoring in a renewable energy site integration system of claim 45, further comprising,

charging at least one of the one or more energy storage devices from a renewable energy site integration system charge controller.

47. The method of capacity reservation monitoring in a renewable energy site integration system of claim 45, further comprising,

charging at least one of the one or more energy storage devices from the grid.

48. The method of capacity reservation monitoring in a renewable energy site integration system of claim 46, further comprising,

charging the one or more energy storage devices from a renewable energy site integration system charge controller;

and

minimally charging the one or more energy storage devices from the grid, wherein charging the one or more energy storage devices from the grid is only activated when attempts to charge the one or more energy storage devices from a renewable energy site integration system charge controller fail, after a minimum time period the renewable energy site integration system reverts to charging the one or more energy storage devices

from the renewable energy site integration system charge controller.