# US 12,015,275 B2 · Hybrid power plant

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 12,015,275 B2
- Document ID: US12015275B2
- Status: Granted
- Kind: B2
- Application number: 17/311,769
- Filed: 2019-12-12
- Published: 2022-01-27
- Granted: 2024-06-18
- Earliest claimed: 2018-12-12
- Assignees: General Electric Company
- Applicants: General Electric Company
- Inventors: Rajni Burra; Deepak Raj Sagi; Arvind Kumar Tiwari
- Web page: https://patentgrep.com/patent/US12015275B2

## CPC

- H02J 3/003: {Load forecast, e.g. methods or systems for forecasting future load demand}
- H02J 3/381: {Dispersed generators}
- G05B 19/042: using digital processors (G05B19/05 takes precedence)
- H02J 3/004: {Generation forecast, e.g. methods or systems for forecasting future energy generation}
- H02J 3/48: Controlling the sharing of active power
- H02J 7/35: with light sensitive cells
- H02J 13/10: characterised by displaying of information or by user interaction, e.g. supervisory control and data acquisition [SCADA] systems
- G05B 2219/24215: Scada supervisory control and data acquisition
- G05B 2219/2619: Wind turbines
- G06Q 30/06: Buying, selling or leasing transactions
- G06Q 50/06: Energy or water supply
- H02J 2101/24: Photovoltaics
- H02J 2101/28: Wind energy
- H02J 2101/40: Hybrid power plants, i.e. a plurality of different generation technologies being operated at one power plant
- Y02E 10/56: Power conversion systems, e.g. maximum power point trackers
- 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 50/10: Energy trading, including energy flowing from end-user application to grid
- H02J: ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- 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
- 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

A hybrid power plant including a plurality of power sources and controllers, a hybrid plant controller, and a computing system. The controllers operate the power sources according to operating set points. The hybrid plant controller transmits the operating set points to the controllers. The computing system is coupled to the hybrid plant controller and receives a first set of input parameters from a first subscriber, and carries out a first level of services to which the first subscriber subscribes to determine operating parameters for the first subscriber. The computing system receives a second set of input parameters from a second subscriber and carries out a second level of services to which the second subscriber subscribes to determine operating parameters for the second subscriber. The computing system then computes the operating set points based on aggregate operating parameters for the first and second subscribers.

## Claims

### Claim 1

A hybrid power plant comprising:
a plurality of power sources;
a plurality of controllers corresponding to and configured to operate said plurality of power sources according to corresponding operating set points;
a hybrid plant controller coupled to said plurality of controllers and configured to transmit the corresponding operating set points to said plurality of controllers; and
a computing system coupled to said hybrid plant controller and configured to:
receive a first set of input parameters from a first subscriber of said hybrid power plant;
carry out a first level of services to which the first subscriber subscribes, based on the first set of input parameters, to determine operating parameters for the first subscriber;
receive a second set of input parameters from a second subscriber of said hybrid power plant;
carry out a second level of services to which the second subscriber subscribes, based on the second set of input parameters, to determine operating parameters for the second subscriber; and
compute the corresponding operating set points based on an aggregate of i) the operating parameters determined for the first subscriber using the first level of service and ii) the operating parameters determined for the second subscriber using the second level of services.

### Claim 2 (depends on 1)

The hybrid power plant of claim 1, wherein said plurality of power sources comprises two or more of a wind power plant, a photovoltaic plant, or an energy storage device.

### Claim 3 (depends on 1)

The hybrid power plant of claim 1, wherein the first level of services includes basic processing to determine the operating parameters for at least one of energy storage, power forecasting, power dispatch, energy accounting, or market modeling.

### Claim 4 (depends on 3)

The hybrid power plant of claim 3, wherein at least one of:
i) the first level of services for energy storage includes rule-based processing to determine a battery command based on a pre-defined droop curve to control a state of charge of at least one energy storage device of said plurality of power sources;
ii) the first level of services for power forecasting includes statistical processing of past data about power generated by said plurality of power sources to generate a power generation forecast for a short-term or a medium-term;
iii) the first level of services for power dispatch includes executing a proportional-integral-derivative (PID) control loop for determining operating parameters for energy storage devices and renewable power sources of said plurality of power sources;
iv) the first level of services for energy accounting includes collecting energy consumption data from at least one supervisory control and data acquisition (SCADA) system or an electric meter system; and
v) the first level of services for market modeling includes controlling energy production and supply to an electric grid interconnect.

### Claim 5 (depends on 1)

The hybrid power plant of claim 1, wherein the second level of services includes advanced processing to determine the operating parameters for at least one of energy storage, power forecasting, power dispatch, energy accounting, or market modeling.

### Claim 6 (depends on 5)

The hybrid power plant of claim 5, wherein the second level of services for energy storage includes processing of input parameters to determine a battery command to control a state of charge of at least one energy storage device of said plurality of power sources to optimize performance requirements of the second subscriber and to extend a service life of the at least one energy storage device.

### Claim 7 (depends on 5)

The hybrid power plant of claim 5, wherein the second level of services for power forecasting includes:
receiving global forecasting system (GFS) data; and
statistical processing of past data about power generated by said plurality of power sources and the GFS data to generate a power generation forecast for a short-term up to one day ahead.

### Claim 8 (depends on 5)

The hybrid power plant of claim 5, wherein the second level of services for power dispatch includes:
receiving global forecasting system (GFS) data including weather data;
executing a physics-based model to estimate power generation by said plurality of power sources;
executing a predictive model to predict short-term power demand for the second subscriber; and
determining operating parameters for energy storage devices and renewable power sources of said plurality of power sources based on the predicted short-term power demand.

### Claim 9 (depends on 5)

The hybrid power plant of claim 5, wherein the second level of services for energy accounting includes collecting loss data, DC metering data, and power split data between at least two of said plurality of power sources.

### Claim 10 (depends on 5)

The hybrid power plant of claim 5, wherein the second level of services for market modeling includes generating a generation schedule for said plurality of power sources and generating a consumption schedule for the second subscriber.

### Claim 11 (depends on 1)

The hybrid power plant of claim 1, wherein said computing system is further configured to:
receive a third set of input parameters from a third subscriber of said hybrid power plant;
carry out a third level of services to which the third subscriber subscribes, based on the third set of input parameters, to determine operating parameters for the third subscriber; and
compute the corresponding operating set points based on an aggregate of i) the operating parameters determined for the first subscriber using the first level of services, ii) the operating parameters determined for the second subscriber using the second level of services, and iii) the operating parameters determined for the third subscriber using the third level of services.

### Claim 12 (depends on 11)

The hybrid power plant of claim 11, wherein the third level of services includes further advanced processing to determine the operating parameters for at least one of energy storage, power forecasting, power dispatch, energy accounting, or market modeling.

### Claim 13 (depends on 12)

The hybrid power plant of claim 12, wherein the third level of services for energy storage includes processing of a power generation forecast to determine uncertainties and to prevent excessive cycling on at least one energy storage device of said plurality of power sources.

### Claim 14 (depends on 12)

The hybrid power plant of claim 12, wherein the third level of services for power forecasting includes:
receiving global forecasting system (GFS) data;
statistical processing of past data about power generated by said plurality of power sources and the GFS data to generate a power generation forecast for a short-term up to one day ahead; and
combining the power generation forecast with a third-party power generation forecast.

### Claim 15 (depends on 12)

The hybrid power plant of claim 12, wherein the third level of services for power dispatch includes:
receiving global forecasting system (GFS) data including weather data;
executing a physics-based model to estimate power generation by said plurality of power sources;
executing a predictive model to predict short-term power demand for the second subscriber;
processing predicted short-term power demand to determine uncertainties; and
determining operating parameters for energy storage devices and renewable power sources of said plurality of power sources based on the predicted short-term power demand and the uncertainties.

### Claim 16 (depends on 12)

The hybrid power plant of claim 12, wherein the third level of services for energy accounting includes:
enabling renewable purchase obligation (RPO) accounting; and
tracking energy transactions using tagging and blockchain technology.

### Claim 17 (depends on 12)

The hybrid power plant of claim 12, wherein the third level of services for market modeling includes:
enabling peer-to-peer energy trading;
enabling sale of power within a distribution network;
enabling energy trading within a microgrid; and
enabling energy aggregation of two or more of said plurality of power sources to define a virtual power plant.

### Claim 18 (depends on 1)

The hybrid power plant of claim 1, wherein said computing system is further configured to compute the corresponding operating set points according to a load following scheme.

### Claim 19

A method of controlling power generation by a hybrid power plant, said method comprising:
dispatching energy storage set points for at least one energy storage device based on real-time and historical power generation and power demand data, and based on a power generation forecast and a power demand prediction;
computing operating set points based on the power generation forecast, the power demand prediction, and an actual state of charge for the at least one energy storage device, for a plurality of subscribers for the hybrid power plant; and
transmitting the operating set points to a plurality of controllers for a plurality of power sources of the hybrid power plant.

### Claim 20 (depends on 19)

The method of claim 19, wherein dispatching energy storage set points further comprises determining uncertainty in the power generation forecast and the power demand prediction.