# US 2021/0242682 A1 · Generation of demand response events based on grid operations and faults

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- Number: US 2021/0242682 A1
- Document ID: US20210242682A1
- Status: Published application
- Kind: A1
- Application number: 16/973,248
- Filed: 2019-08-01
- Published: 2021-08-05
- Earliest claimed: 2018-08-14
- Assignees: Carrier Corporation
- Applicants: Carrier Corporation
- Inventors: Stefano Riverso; Marcello Torchio
- Web page: https://patentgrep.com/patent/US20210242682A1

## CPC

- H02J 3/17: Demand-responsive operation of AC power transmission or distribution networks
- G01R 31/50: Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections (testing of sparking plugs H01T13/58)
- G05B 13/026: {using a predictor}
- G06Q 10/06: Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q 50/06: Energy or water supply
- H02J 3/0012: characterised by the contingency detection means in AC networks, e.g. using phasor measurement units [PMU], synchrophasors or contingency analysis
- H02J 3/381: {Dispersed generators}
- H02J 13/13: characterised by the transmission of data to equipment in the power network
- H02J 3/003: {Load forecast, e.g. methods or systems for forecasting future load demand}
- H02J 3/004: {Generation forecast, e.g. methods or systems for forecasting future energy generation}
- H02J 2101/24: Photovoltaics
- H02J 2101/28: Wind energy
- H02J 2103/30: Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks
- Y02B 70/3225: Demand response systems, e.g. load shedding, peak shaving
- 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)
- Y02E 10/56: Power conversion systems, e.g. maximum power point trackers
- Y02E 60/00: Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- 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
- Y04S 20/222: Demand response systems, e.g. load shedding, peak shaving
- Y04S 40/12: characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S 40/20: Information technology specific aspects, e.g. CAD, simulation, modelling, system security
- H02J: ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12)
- G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G)
- 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
- Y02B: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02E: REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- 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

Provided are techniques for predictively generating demand response (DR) events based on grid operations and faults, based on optimization and self-learning routines. The techniques include obtaining grid status information, and determining a fault condition based at least in part on the grid status information. The techniques also include generating a DR event based at least in part on the fault condition, and responsive to generating the DR event, transmitting a notification of the DR event.

## Claims

### Claim 1

A computer-implemented method for generating demand response (DR) events based on grid operations and faults, the computer-implemented method comprising:
obtaining grid status information;
determining a fault condition based at least in part on the grid status information;
generating a DR event based at least in part on the fault condition; and
responsive to generating the DR event, transmitting a notification of the DR event.

### Claim 2 (depends on 1)

The computer-implemented method of claim 1, wherein the grid status information comprises current available capacity and energy production rate.

### Claim 3 (depends on 1)

The computer-implemented method of claim 1, further comprising predicting a fault, wherein predicting the fault comprises:
aggregating energy management system (EMS) data from one or more EMS;
comparing the aggregated EMS data and the grid data to predict the fault;
generating a DR event responsive to the comparison; and
transmitting a notification of the DR event to one or more systems.

### Claim 4 (depends on 3)

The computer-implemented method of claim 3, wherein the aggregated EMS data comprises at least one of load profile information for each EMS, flexible resource information for each EMS, or supplemental energy sources for each EMS.

### Claim 5 (depends on 1)

The computer-implemented method of claim 1, wherein the notification comprises a request to modulate power consumption for a defined period of time to balance the load during the DR event.

### Claim 6 (depends on 4)

The computer-implemented method of claim 4, wherein the load profile information comprises at least one of historical energy usage information, weather information, or previous fault information.

### Claim 7 (depends on 3)

The computer-implemented method of claim 3, further comprising performing load balancing of one or more EMS based at least in part on the EMS data, the grid status, and a predicted fault.

### Claim 8

A system generating demand response (DR) events based on grid operations and faults, the system comprising:
a power grid;
one or more energy management systems (EMS) system controllers;
an aggregator in communication with the power and the one or more EMS controllers, wherein the aggregator is configured to:
obtain grid status information;
determining a fault condition based at least in part on the grid status information;
generate a DR event based at least in part on the fault condition; and
responsive to generating the DR event, transmit a notification of the DR event.

### Claim 9 (depends on 8)

The system of claim 8, wherein the grid status information comprises current available capacity and energy production rate.

### Claim 10 (depends on 8)

The system of claim 8, wherein the aggregator is further configured to:
Aggregate EMS data from the one or more EMS;
compare the aggregated EMS data and the grid data to predict the fault;
generate a DR event responsive to the comparison; and
transmit a notification of the DR event to one or more systems.

### Claim 11 (depends on 10)

The system of claim 10, wherein the aggregated EMS data comprises at least one of load profile information for each EMS, flexible resource information for each EMS, or supplemental energy sources for each EMS.

### Claim 12 (depends on 8)

The system of claim 8, wherein the notification comprises a request to modulate power consumption for a defined period of time to balance the load during the DR event.

### Claim 13 (depends on 11)

The system of claim 11, wherein the load profile information comprises at least one of historical energy usage information, weather information, or previous fault information.

### Claim 14 (depends on 10)

The system of claim 10, wherein the aggregator is further configured to perform load balancing of the one or more EMS based at least in part on the EMS data, the grid status, and a predicted fault.

### Claim 15

An aggregator for generating demand response (DR) events based on grid operations, the aggregator comprising:
a communication module configured to communicate with one or more systems and a power grid;
a fault module configured to detect and predict a fault condition based at least in part on energy management system (EMS) data and the grid status information;
a profile module configured to store load profile, flexible resource, grid production;
a DR event module configured to generate a notification based on at least one of a fault or a predicted fault; and
wherein the communication module is configured to transmit the DR event.

### Claim 16 (depends on 15)

The aggregator of claim 15, wherein the grid status information comprises current available capacity and energy production rate.

### Claim 17 (depends on 15)

The aggregator of claim 15, wherein the aggregator is further configured to predict a fault, wherein predicting the fault comprises:
aggregating energy management system (EMS) data from one or more EMS;
comparing the aggregated EMS data and the grid data to predict the fault;
generating a DR event responsive to the comparison; and
transmitting a notification of the DR event to one or more systems.

### Claim 18 (depends on 17)

The aggregator of claim 17, wherein the aggregated EMS data comprises at least one of load profile information for each EMS, flexible resource information for each EMS, or supplemental energy sources for each EMS.

### Claim 19 (depends on 15)

The aggregator of claim 15, wherein the notification comprises a request to modulate power consumption for a defined period of time to balance the load during the DR event.

### Claim 20 (depends on 18)

The aggregator of claim 18, wherein the load profile information comprises at least one of historical energy usage information, weather information, or previous fault information.