Office Action 1: Notice of Allowance (2025-05-13)

CLAIMS:
Patent Claims

1\. Method for the determination of a transfer energy flow (E) into a or out of a reserve unit (RE), the reserve unit (RE) comprising:
\- a group (D) of electrical consumers,
\- a storage system (ESS) for electrical energy with a storage (B) for electrical energy and - a device (PV) for the generation of electrical energy,
wherein the reserve unit (RE) is defined by a network connection point (NAP) and connected by this network connection point (NAP) to an electrical transmission
network (G), wherein a first electrical meter device (Z1) is provided at the network connection point (NAP) for the determination of a measurement value Z1d as a network energy flow out of the transmission network (G) into the reserve unit (RE) and for the determination of a measurement value Z1 u as a network energy flow out of the reserve unit (RE) into the transmission network (G),
the method being characterized by performing the following tasks:
\- determining an intake energy flow (Ed) comprising the group of electrical consumers (D) in a defined time interval,
\- determining a network energy flow (Eg2re) from the electrical transmission network (G) into the reserve unit (RE) in the defined time interval,
\- determining a generator energy flow of the device (PV) for the generation of electrical energy in the defined time interval,
\- determining a storage energy flow (Ebe) between the storage (B) for electrical energy of the storage system (ESS) for electrical energy and the group (D) of electrical consumers and/or the electrical transmission network (G) in the defined time interval and - determining the transfer energy flow (E) in the defined time interval according to the law of energy conservation,
wherein further electrical energy flows within the reserve unit (RE) between at least two components selected from:
\- the energy storage system (ESS),
\- the device (PV) for the generation of energy and - the group (D) of electrical consumers are determined by further electrical meter devices (Z2, Z3) in such a way that, in a case differentiation selected from the two case groups:
\- the energy generating device (PV) generates more electrical power than required by the group (D) of electrical consumers and - the energy generating device (PV) generates no or the same amount or less electrical power than required by the group (D) of electrical consumers combined with a boundary condition selected from:

\- the storage (B) for electrical energy is charging and - the storage (B) for electrical energy is discharging,
the transfer energy flow (E) of the selected case group with the combined boundary condition occurs as a measured value of a single one of the first or one of the further
electrical meter devices (Z1, Z2, Z3) for the selected case group with the combined boundary condition.

2\. Method according to claim 1characterized in that the determining of the transfer energy flow is performed as a determining of the
generator-to-consumer energy flow (Epv2d) from the device (PV) for the generation of electrical energy into the group (D) of electrical consumers within the defined time interval.

3\. Method according to claim 1 or 2 characterized in that
the determining of the intake energy flow (Ed) is being performed as a determining of the intake energy flow (Ed) of the group (D) of electrical consumers within the defined time interval.

4\. Method according to claim 3 if dependent on claim 2 characterized in that
the determination of the transfer energy flow (E) is performed according to the law of energy conservation according to the formula: E = (Ed - Epv2d - Ebe - Eg2re).

5\. Method according to claim 4 characterized in that the determining of the generator energy flow (Epv2d) from the device (PV) for the
generation of electrical energy to the group (D) of electrical consumers is performed within the defined time interval by the first further electrical meter device (Z2) with a measurement value Z2d for an energy flow in the direction towards the group (D) of electrical consumers and/or in the direction towards the storage system (ESS) for electrical energy and with a measurement value Z2u for an energy flow with theopposite orientation,
wherein the device (PV) for the generation of electrical energy is connected between the first electrical meter device (Z1) and the first further electrical meter device (Z2) in such a way that electrical current which is generated by the device (PV) for the generation of electrical energy can be fed into the electrical transmission network
(G) through the first electrical meter device (Z1) as well as it can be directed through the first further meter device (Z2) to the group (D) of electrical consumers and/or to the storage system (ESS) for electrical energy, wherein the generator energy flow (Epv2d) is always determined as the smaller energy flow of the following two energy flows:

\- intake energy flow (Ed) and - total generator energy flow (Epv).

6\. Method according to claim 5 characterized in that
a total generator energy flow (Epv) is determined by computing the difference between the measurement value Z2d of the energy flow of the first further meter device (Z2) in the measurement value Z1d of the network energy flow (Eg2re) and the following difference is added to that: the measurement value Z2u is subtracted from the measurement value Z1 u as network energy flow (Eg2re) from the reserve unit into the electrical transmission network.

7\. Method according to claim 5 or 6 characterized in that a storage-to-consumer energy flow (Eb2d) from the storage (B) for electrical energy of the storage system (ESS) for electrical energy to the group (D) of electrical
consumers is performed within the defined time interval by calculating a difference as follows: from the intake energy flow (Ed) as it has been determined the energy flow Z2d which has been measured with the first further electrical meter device (Z2) is subtracted if the difference soformed is greater than zero, and if the difference soformed is smaller than zero the storage-to-consumer energy flow (Eb2d) is setto zero.

8\. Method according to any of claims 1 to 7 characterized in that an energy flow into the storage (B) for electrical energy is determined by a measurement value Z3d and that the storage energy flow out of the storage (B) for electrical energy is determined by a measurement value Z3u by means of the second
further meter device (Z3) arranged upstream of the storage (B) of electrical energy.

9\. Method according to claim 8characterized in that the two case groups concerning the comparison of the size of the intake energy flow (Ed) to the total generator energy flow (Epv) are being determined by means of the
measurement values of the first meter device (Z1) and by means of the measurement values of the second further meter device (Z3) as follows:
for the size comparison the total generator energy flow Epv corresponds to Z1u-Z1d and the intake energy flow Ed corresponds to Z3u-Z3d.

10\. Method according to claim 8 or 9 characterized in that for the case group that the total generator energy flow (Epv) is larger than the intake energy flow (Ed):

\- the transfer energy flow (E) is determined as the measurement value Z1 d for the boundary condition that the storage (B) for electrical energy is charging, meaning Z3d>0,
\- the transfer energy flow (E) is determined as the measurement value Z3u for the boundary condition that the storage (B) for electrical energy is discharging,
meaning Z3u>0 and for the case group that the total generator energy flow (Epv) is smaller than or equal to the intake energy flow (Ed), including the case that the total generator energy flow (Epv) equals zero:
\- the transfer energy flow (E) is determined as the measurement value Z3d for the boundary condition that the storage (B) for electrical energy is charging, meaning Z3d>0,
\- the transfer energy flow (E) is determined as the measurement value Z1 u for the boundary condition that the storage (B) for electrical energy is discharging, meaning Z3u>0.

11\. Use of results of a method according to any of the preceding claims characterized in that the measurement values of at least one electrical meter device (Z1, Z2, Z3) are being
determined for the determination of transfer energy flows (E) between an electrical transmission network (G) and the reserve unit (RE) according to the method, which measurement values have the transfer energy flow (E), which energy flow (E) is to be determined, for the case groups and boundary conditions as defined according to the method.

12\. Use according to claim 11 characterized in that intake energy flows (Esys), which are necessary for maintaining the system and which are directed into the storage system (ESS) for electrical energy and which are not comprised by a defined intake energy flow (Ed) of the group of electrical consumers
(D), are being determined and accounted for with respect to the determined transfer energy flow (E).

13\. Use according to claim 12 characterized in that when determining intake energy flows (Esys), which are necessary for maintaining the
system, which are directed into the storage system (ESS) for electrical energy and which are not comprised by a defined intake energy flow (Ed) and which are caused by one or more of the intake energy flows (Esys), which are necessary for maintaining the system, are being used in order to correct the determined transfer energy flow (E).

14\. Use according to claim 12 or 13 characterized in that the energy flows (Esys) which are necessary for maintaining the system are selected from a group comprising:
\- an energy flow caused by a power intake of an inverter during standby which inverter is part of the energy storage system (ESS), when the storage (B) of electrical energy is depleted and cannot supply the power intake during standby,
\- an energy flow caused by trickle charging the storage (B) for electrical energy being part of the storage system (ESS) for electrical energy and - an energy flow caused by periodically fully charging the storage (B) for electrical energy being part of the storage system (ESS) for electrical energy.

15\. Use of results of a method according to any of claims 1to 10 or according to a use according to any of claims 11 to 14 characterized in that a determination of the transfer energy flow (E) is being performed in real time during
defined time intervals in the range of 10 seconds to 15 minutes, preferably in the range from 30 seconds to 10 minutes and especially preferred in the range of one minute to five minutes.

16\. Use of results of a method according to any of claims 1 to 10 or according to a use
according to any of claims 11 to 14 characterized in that a determination of the transfer energy flow (E) is being performed in retrospect by using data sets which have been saved for defined time intervals in the range of 10 seconds to 15 minutes, preferably in the range from 30 seconds to 10 minutes and especially preferred in the range of one minute to five minutes.

17\. Use according to any one of the preceding use claims 11 to 16 or use of results of a method according to any of claims 1 to 10 characterized in that a determination of the transfer energy flow (E) is being performed in a control unit (SE) of the system for the storage of electrical energy (ESS).

18\. Use according to any one of the preceding use claims 11 to 16 or use of results of a method according to any of claims 1 to 10 characterized in that a determination of the transfer energy flow (E) is performed in an evaluation unit outside of the reserve unit (RE).

19\. Control system formed and arranged to perform one of the methods according to any of claims 1 to 10 or control system formed and arranged for the use of a result according to any one of claims 11 to 18. 5 10 15 20 25 30 35 0

OFFICE ACTION:
DETAILED ACTION
Notice of Pre-AIA  or AIA  Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Response to Amendment
2.	The amendments filed on 09/04/2023 have been fully considered and are made of record.
Claims 4, 9-10, 12-14 have been amended.
Claims 20-21 have been newly added.
Claims 1-3, 8, 11, and 15-19 have been withdrawn.
EXAMINER'S AMENDMENT
3.	An examiner’s amendment to the record appears below. Should the changes and/or additions be unacceptable to applicant, an amendment may be filed as provided by 37 CFR 1.312. To ensure consideration of such an amendment, it MUST be submitted no later than the payment of the issue fee.
Authorization for this examiner’s amendment was given in an interview with Clive McClintok Reg. NO. (70,693) on 04/24/2025.
The application has been amended as follows:
Claim 1 (Cancelled).
Claim 2 (Cancelled).
Claim 3 (Cancelled).
Claim 7 (Currently Amended). Method according to claim 5 characterized in that a storage-to-consumer energy flow (Eb2d) from the storage (B) for electrical energy of the storage system (ESS) for electrical energy to the group (D) of electrical consumers is performed within the defined time interval by calculating a difference as follows: from the intake energy flow (Ed) as it has been determined the energy flow Z2d which has been measured with the first further electrical meter device (Z2) is subtracted if the difference so formed is greater than zero, and if the difference so formed is smaller than zero the storage-to- consumer energy flow (Eb2d) is set to zero.
Claim 8 (Cancelled).
Claim 11 (Cancelled).
Claim 15 (Cancelled).
Claim 16 (Cancelled).
Claim 17 (Cancelled).
Claim 18 (Cancelled).
Claim 19 (Cancelled).
Claim 21 (Currently Amended). The method of claim 4 characterized in that intake energy flows (Esys), which are necessary for maintaining the system and which are directed into the storage system (ESS) for electrical energy and which are not comprised by a defined intake energy flow (Ed) of the group of electrical consumers (D), are being determined and accounted for with respect to the determined transfer energy flow (E).
Reason for Allowance/ Allowable Subject Matter
4.	Claims 4-7, 9-10, 12-14 and 20-21 are allowed. Examiner’s reasons for allowance are following:
a)	 Any reference does not disclose nor fairly suggest each and every claimed limitation of independent claim 4:
As to claims 4-7, 9-10, 12-14 and 20-21 the present invention is direct to a method for the determination of a transfer energy flow into a or out of a reserve unit, the reserve unit comprising: Independent claim 4 identifies the uniquely distinct features of “wherein the reserve unit is defined by a network connection point and connected by this network connection point to an electrical transmission network; the energy generating device generates no or the same amount or less electrical power than required by the group of electrical consumers; determination of the transfer energy flow is performed according to the law of energy conservation according to the formula: E = (Ed - Epv2d - Ebe - Eg2re)”.
The closest prior art, GAUL et al (Pub No. DE 10 2017 121 457 A1), Stites-Clayton et al. (Pub NO. US 2021/0135489 A1), LAZARIS et al. (Pub NO. US 2012/0150361 A1), Ohara et al. (Pub NO. US 2011/0159389 A1), Jonsson et al. (Pub NO. US 2020/0303944 A1), Shamir et al. (Pub NO. US 2015/0276829 A1), Dunlap et al. (Pub NO. US 2009/0177595 A1)  teaches Method and system for detecting Energy Flow, either singularly or in combination, fail to anticipate or render the above underlined limitations obvious, in combination with all other claimed limitations of claim 4.
As to claims 5-7, 9-10, 12-14 and 20-21, the claims are allowed for depending on claim 4.
Any comments considered necessary by applicant must be submitted no later than the payment of the issue fee and, to avoid processing delays, should preferably accompany the issue fee. Such submissions should be clearly labeled Comments on Statement of Reasons for Allowance.
Conclusion
5.



CITED REFERENCE SUMMARIES: Ref US20210135489A1: Claims:
A system for supplying power to a load output from a plurality of power source inputs, comprising: a power switching sub-system; and a control and communication sub-system.
a power switching sub-system; and
a control and communication sub-system.
The system of claim 1 , wherein the control and communication sub-system is configured with: an integrated and dedicated connection to a network; a memory capable of storing computer readable instructions thereon; and at least one processor configured to execute the computer readable instructions.
an integrated and dedicated connection to a network;
a memory capable of storing computer readable instructions thereon; and
at least one processor configured to execute the computer readable instructions.
The system of claim 2 , further comprising: a cloud software system, established or adapted to communicate with a physical system comprising the power switching sub-system.
a cloud software system, established or adapted to communicate with a physical system comprising the power switching sub-system.
The system of claim 3 , wherein the processor configured to execute the computer readable instructions: collects, stores and updates data from a plurality of sources, the data corresponding to at least one of: the state of the switching system, characteristics of the power supply, other control parameters for the system, or other available datasets; transmits the data to the cloud software system; receives commands from the cloud software system; and actuates physical changes within the system based on the received commands.
collects, stores and updates data from a plurality of sources, the data corresponding to at least one of: the state of the switching system, characteristics of the power supply, other control parameters for the system, or other available datasets;
transmits the data to the cloud software system;
receives commands from the cloud software system; and
actuates physical changes within the system based on the received commands.
The system of claim 3 , further comprising: an integrated and dedicated connection to a network, wherein the connection is utilized to receive data from and send commands to other devices on the network for the purpose of collecting more data and extending the control capabilities of the system to other physical systems outside of the power switching sub-system.
an integrated and dedicated connection to a network, wherein the connection is utilized to receive data from and send commands to other devices on the network for the purpose of collecting more data and extending the control capabilities of the system to other physical systems outside of the power switching sub-system.
The system of claim 2 , further comprising: an energy metering sub-subsystem, configured to provide energy metering capabilities on the load output.
an energy metering sub-subsystem, configured to provide energy metering capabilities on the load output.
The system of claim 3 , wherein the communication between the physical system comprising the power-switching sub-system and the cloud software system enables: building of a software model of the power supply system; utilizing the software model to set operational thresholds for decision making around control actions to perform on the power supply system; processing of real-time system events by an operational algorithm to determine optimal control actions to perform on the power-supply system.
building of a software model of the power supply system;
utilizing the software model to set operational thresholds for decision making around control actions to perform on the power supply system;
processing of real-time system events by an operational algorithm to determine optimal control actions to perform on the power-supply system.
The system of claim 7 , wherein the cloud software system further enables providing a user interface to allow viewing of transmitted data; providing real-time alerts to the users via at least one of a text message, electronic mail, or push notification; allowing remote command signals to be sent by the user to the power-switching sub-system to initiate control actions within the power supply system, at times overriding the control actions taken based upon the operational algorithm.
providing a user interface to allow viewing of transmitted data;
providing real-time alerts to the users via at least one of a text message, electronic mail, or push notification;
allowing remote command signals to be sent by the user to the power-switching sub-system to initiate control actions within the power supply system, at times overriding the control actions taken based upon the operational algorithm.
A method of determining an operational action in a power-supply system comprising: Registering a system event in the power-supply system; Comparing the event to a set of internal operational rules; Transmitting the event to an IoT cloud platform and to a real-time event service; Transmitting the event to an algorithm service to determine if automatic action should be taken in response to the event; Receiving prediction analytics on at least one of the likelihood of a future event occurring and the future value of a power-supply system parameter; Comparing a predictive analytics value to an established threshold of optimal operation of the energy system; and Determining whether control action should be taken on the energy system based on comparison of predictive analytics value to operational thresholds.
Registering a system event in the power-supply system;
Comparing the event to a set of internal operational rules;
Transmitting the event to an IoT cloud platform and to a real-time event service;
Transmitting the event to an algorithm service to determine if automatic action should be taken in response to the event;
Receiving prediction analytics on at least one of the likelihood of a future event occurring and the future value of a power-supply system parameter;
Comparing a predictive analytics value to an established threshold of optimal operation of the energy system; and
Determining whether control action should be taken on the energy system based on comparison of predictive analytics value to operational thresholds.
A system for supplying power to a load output from a plurality of power source inputs, comprising: a memory having computer readable instructions stored thereon; at least one processor configured to execute the computer readable instructions to: collect data from a plurality of sources, the data corresponding to energy consumption, utility grid availability, and solar energy production; build a model based on the data collected from the plurality of sources; and test a set of operational rules and strategies for running the system based on the data collected.
a memory having computer readable instructions stored thereon;
at least one processor configured to execute the computer readable instructions to:
collect data from a plurality of sources, the data corresponding to energy consumption, utility grid availability, and solar energy production;
build a model based on the data collected from the plurality of sources; and
test a set of operational rules and strategies for running the system based on the data collected.
The system of claim 10 , wherein the at least one processor is further configured to execute the computer readable instructions to: identify a threshold for utilizing at least one of a plurality of resources; and determine use of the plurality of resources based on optimization of at least one target parameter.
identify a threshold for utilizing at least one of a plurality of resources; and
determine use of the plurality of resources based on optimization of at least one target parameter.
The system of claim 10 , wherein the at least one processor is further configured to execute the computer readable instructions to: store the collected data in the memory, and update the memory with the collected data based on additional data collected from the plurality of sources.
store the collected data in the memory, and
update the memory with the collected data based on additional data collected from the plurality of sources.
The system of claim 10 , wherein the at least one processor is further configured to execute the computer readable instructions to: transmit information to a hand-held device operated by a user, the information being transmitted by at least one of a text message, electronic mail, and push notification.
transmit information to a hand-held device operated by a user, the information being transmitted by at least one of a text message, electronic mail, and push notification.
An apparatus for supplying power to a load output and capable of switching between a plurality of power source inputs comprising: an integrated power-switching subsystem, energy metering sub-system, and controls and communication sub-system.
an integrated power-switching subsystem, energy metering sub-system, and controls and communication sub-system.
The apparatus of claim 14 further comprising: a network connection; and cloud software infrastructure including at least one memory and at least one processor, the memory including computer readable instructions stored thereon, and the at least one processor configured to execute the computer readable instructions to perform a specialized algorithm in the cloud software architecture, wherein the network connection is configured to connect the cloud software infrastructure with at least one of the integrated power-switching subsystem, the energy metering sub-system, and the controls and communication sub-system.
a network connection; and
cloud software infrastructure including at least one memory and at least one processor, the memory including computer readable instructions stored thereon, and the at least one processor configured to execute the computer readable instructions to perform a specialized algorithm in the cloud software architecture,
wherein the network connection is configured to connect the cloud software infrastructure with at least one of the integrated power-switching subsystem, the energy metering sub-system, and the controls and communication sub-system.
The method of claim 9 further comprising: determining which control action should be taken on the energy system based on comparison of predictive analytics value to operational thresholds; and performing the operational action.
determining which control action should be taken on the energy system based on comparison of predictive analytics value to operational thresholds; and
performing the operational action.
The system of claim 7 further enabling sending of remote command signals from the cloud software system to the physical system in order to trigger the execution of the determined optimal control actions.
A method of supplying power to a load output from a plurality of power source inputs, the method comprising: collecting data relating to the plurality of power source inputs; testing operational rules and strategies for running the power system; identifying optimal thresholds for utilizing power supply resources; checking operational mode of the system; receiving real-time events corresponding to changes in the system state; determining whether an operational action should be taken on the system in real time; and performing an operational control action on the system.
collecting data relating to the plurality of power source inputs;
testing operational rules and strategies for running the power system;
identifying optimal thresholds for utilizing power supply resources;
checking operational mode of the system;
receiving real-time events corresponding to changes in the system state;
determining whether an operational action should be taken on the system in real time; and
performing an operational control action on the system.
A nontransitory computer readable medium storing a set of instructions for supplying power to a load output from a plurality of power source inputs, the set of instructions comprising instructions which when executed by a processor of the computing device, cause the processor to: collect data relating to the plurality of power source inputs; test operational rules and strategies for running the power system; identify optimal thresholds for utilizing power supply resources; check operational mode of the system; receive real-time events corresponding to changes in the system state; determine whether an operational action should be taken on the system in real time; and perform an operational control action on the system.
collect data relating to the plurality of power source inputs;
test operational rules and strategies for running the power system;
identify optimal thresholds for utilizing power supply resources;
check operational mode of the system;
receive real-time events corresponding to changes in the system state;
determine whether an operational action should be taken on the system in real time; and
perform an operational control action on the system.
Ref US20120150361A1: Claims:
An electricity grid infrastructure, comprising: a multi-resource offshore renewable energy platform having a plurality of wind turbines, a plurality of photovoltaic modules mounted on at least one tracker mounting system, a plurality of wave turbines, and a plurality of high-temperature solar thermal collectors mounted on at least one tracker mounting system coupled thereto, each capable of producing power from a renewable energy resource; a plurality of microgrids separately coupled to and forming an intelligent power distribution network; a distributed load management system at least configured to settle a transfer of a power requirement for a specific period of time from the multi-resource offshore renewable energy platform to be distributed to each microgrid in the plurality of microgrids so that the power requirement is satisfied entirely from power produced from a renewable resource; and a transmission system comprising a sub-surface high voltage direct current transmission link between the multi-resource offshore renewable energy platform and the intelligent power distribution network over which the power requirement is delivered, the transmission system including a plurality of voltage source converters connecting a power output circuit of each wind turbine in the plurality of wind turbines, each photovoltaic module in the plurality of photovoltaic modules, each wave turbine in the plurality of wave turbines, and each high-temperature solar thermal collector in the plurality of high-temperature solar thermal collectors to a common direct current bus to provide the high voltage direct current transmission link with rectified alternating current power output and direct current power output regardless of whether a power output circuit produces alternating current or direct current.
a multi-resource offshore renewable energy platform having a plurality of wind turbines, a plurality of photovoltaic modules mounted on at least one tracker mounting system, a plurality of wave turbines, and a plurality of high-temperature solar thermal collectors mounted on at least one tracker mounting system coupled thereto, each capable of producing power from a renewable energy resource;
a plurality of microgrids separately coupled to and forming an intelligent power distribution network;
a distributed load management system at least configured to settle a transfer of a power requirement for a specific period of time from the multi-resource offshore renewable energy platform to be distributed to each microgrid in the plurality of microgrids so that the power requirement is satisfied entirely from power produced from a renewable resource; and
a transmission system comprising a sub-surface high voltage direct current transmission link between the multi-resource offshore renewable energy platform and the intelligent power distribution network over which the power requirement is delivered, the transmission system including a plurality of voltage source converters connecting a power output circuit of each wind turbine in the plurality of wind turbines, each photovoltaic module in the plurality of photovoltaic modules, each wave turbine in the plurality of wave turbines, and each high-temperature solar thermal collector in the plurality of high-temperature solar thermal collectors to a common direct current bus to provide the high voltage direct current transmission link with rectified alternating current power output and direct current power output regardless of whether a power output circuit produces alternating current or direct current.
The electricity grid infrastructure of claim 1 , further comprising a privately hosted, shared distributed computing infrastructure that enables secure communication, processing, and storage of data within an electricity grid infrastructure comprising the multi-resource offshore renewable energy installation, the plurality of microgrids forming the intelligent power distribution network, the distributed load management system, and the transmission system.
The electricity grid infrastructure of claim 2 , wherein the plurality of microgrids each have a microgrid control system configured to determine a power need of each power customer coupled, aggregate the power need in a power demand for each microgrid, and communicate the power demand to the distributed load management system, and manage a distribution of power to each power customer of each microgrid.
The electricity grid infrastructure of claim 3 , wherein the power need of each customer includes a plurality of components, including a usage amount, a usage type, and a fluctuation component for the specific period of time.
The electricity grid infrastructure of claim 1 , wherein the power produced from one or more renewable energy resources is substantially adapted to match the power requirement for the specific period of time so that energy consumption in the electricity grid infrastructure is balanced for the specific period of time.
A method of automating an electricity grid, comprising: determining a power requirement of a plurality of microgrids each having coupled thereto one or more power customers who continually communicate to a microgrid control system for each microgrid a power need composed of at least a usage type, a usage amount, and a fluctuation tolerance for a specific period of time; determining a renewable energy power production capacity of a plurality of renewable energy resource components at a multi-resource offshore renewable energy platform each representing at least one renewable energy resource and each comprised of an array of apparatuses having an independently and variably adjustable level of operation in response to, for the specific period of time, the power requirement and one or more of a commodity price forecast for each renewable energy resource, a meteorological conditions forecast for each renewable energy resource, and an operational availability of each apparatus, each apparatus continually communicating an operational availability to one or more renewable energy resource control systems; producing a power output from one or more of the renewable energy resource components; assessing the power output of each of the one or more renewable energy resource component and independently and variably adjusting the level of operation of each of the one or more renewable energy resource component to maximize operational efficiency and to balance the renewable resource energy power production capacity at the multi-resource offshore renewable energy platform to the power requirement of the plurality of microgrids, wherein assessing the power output includes integrating a transmission control system coupled to at least monitor the power output of each of the one or more renewable energy resource component and compare a combined power output to the power requ
[Truncated to input limit]