# US 2013/0158725 A1 · Adaptive stochastic controller for distributed electrical energy storage management

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- Number: US 2013/0158725 A1
- Document ID: US20130158725A1
- Status: Published application
- Kind: A1
- Application number: 13/589,916
- Filed: 2012-08-20
- Published: 2013-06-20
- Earliest claimed: 2010-02-24
- Inventors: Roger N. Anderson; Albert Boulanger; Arthur A. Kressner
- Web page: https://patentgrep.com/patent/US20130158725A1

## CPC

- G05F 5/00: Systems for regulating electric variables by detecting deviations in the electric input to the system and thereby controlling a device within the system to obtain a regulated output
- B60L 55/00: Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
- G06Q 30/00: Commerce
- G06Q 50/06: Energy or water supply
- 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}
- H02J 3/008: Circuit arrangements for power supply or distribution technologies responsive to energy trading
- Y02E 60/00: Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T 10/70: Energy storage systems for electromobility, e.g. batteries
- Y02T 10/7072: Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
- Y02T 90/12: Electric charging stations
- Y02T 90/14: Plug-in electric vehicles
- Y02T 90/16: Information or communication technologies improving the operation of electric vehicles
- 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]
- 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]
- Y04S 30/14: Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing
- Y04S 50/10: Energy trading, including energy flowing from end-user application to grid
- G05F: SYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
- B60L: PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES (arrangements or mounting of electrical propulsion units or of plural diverse prime-movers for mutual or common propulsion in vehicles B60K1/00, B60K6/20; arrangements or mounting of electrical gearing in vehicles B60K17/12, B60K17/14; preventing wheel slip by reducing power in rail vehicles B61C15/08; dynamo-electric machines H02K; control or regulation of electric motors H02P); SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES (electric coupling devices combined with mechanical couplings of vehicles B60D1/64; electric heating for vehicles B60H1/00); ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL (control or regulation of electric motors H02P); MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- H02J: ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- Y02E: REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02T: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y04S: SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS

## Abstract

A system for managing a battery in communication with an electrical grid that includes (a) a data collector to collect data representative of an electrical grid; (b) an ASC controller operatively coupled to the data collector and adapted to receive collected data therefrom, the ASC controller comprising a financial strategizer to send instructions based on the collected data; and (c) a battery controller operatively coupled to the ASC controller to receive the instructions transmitted by the ASC controller, the battery controller configured to dictate whether the battery receives electricity from, or transmits electricity to the electrical grid.

## Claims

### Claim 1

A system for managing a battery in communication with an electrical grid comprising:
(a) a data collector to collect data representative of an electrical grid;
(b) an ASC controller operatively coupled to the data collector and adapted to receive collected data therefrom, the ASC controller comprising a financial strategizer to send instructions based on the collected data; and
(c) a battery controller operatively coupled to the ASC controller to receive the instructions transmitted by the ASC controller, the battery controller configured to dictate whether the battery receives electricity from, or transmits electricity to the electrical grid.

### Claim 2 (depends on 1)

The system of claim 1, wherein the data representative of the electrical grid includes electricity price and load data.

### Claim 3 (depends on 2)

The system of claim 2, wherein the data representative of the electrical grid further includes weather and sunlight forecast data.

### Claim 4 (depends on 1)

The system of claim 1, wherein the data collector is further adapted to collect data representative of the battery.

### Claim 5 (depends on 1)

The system of claim 1, wherein the ASC controller is further adapted to employ adaptive dynamic programming.

### Claim 6 (depends on 4)

The system of claim 4, wherein the adaptive dynamic programming comprises reinforcement learning.

### Claim 7 (depends on 1)

The system of claim 1, further comprising a data warehouse, operatively coupled to the data collector and ASC controller, to store data from the data collector and actions taken by the ASC controller in response to the data from the data collector.

### Claim 8 (depends on 5)

The system of claim 5, wherein the data warehouse is adapted for communication with a machine learning system.

### Claim 9 (depends on 1)

The system of claim 1, wherein the financial strategizer is adapted to output real time options that include the option value of arbitrage and the option value of peak shaving.

### Claim 10 (depends on 1)

The system of claim 1, wherein the battery is associated with an electrical vehicle.

### Claim 11 (depends on 1)

The system of claim 1, wherein the battery is a hybrid flow battery.

### Claim 12

A method for managing a battery in communication with an electric grid comprising
(a) collecting data representative of an electrical grid;
(b) sending data representative of the electrical grid to an ASC controller, the ASC controller comprising a financial strategizer; and
(c) transmitting instructions from the ASC controller to a battery controller configured to dictate whether the battery receives electricity from, or transmits electricity to the electrical grid.

### Claim 13 (depends on 12)

The method of claim 12 wherein the data representative of the electrical grid includes electricity price and load data, and weather and sunlight forecast data.

### Claim 14 (depends on 12)

The method of claim 12, wherein the ASC controller employs adaptive dynamic programming.

### Claim 15 (depends on 14)

The method of claim 14, wherein the adaptive dynamic programming comprises reinforcement learning.

### Claim 16 (depends on 12)

The method of claim 12, further comprising storing the collected data and the response taken by the ASC controller in response to the collected data in a data warehouse.

### Claim 17 (depends on 16)

The method of claim 16, wherein the data warehouse is in communication with a machine learning system.

### Claim 18 (depends on 12)

The method of claim 12, wherein the financial strategizer outputs real time options that include the option value of arbitrage and the option value of peak shaving.

### Claim 19 (depends on 12)

The method of claim 12, wherein the battery is associated with an electrical vehicle.

### Claim 20 (depends on 12)

The method of claim 12, wherein the battery is a hybrid flow battery.