System and method for energy distribution

Patent metadata

Field	Value
Publication number	US-9312698-B2
Application number	US-201213719548-A
Country	US
Kind code	B2
Filing date	Dec 19, 2012
Priority date	Dec 19, 2012
Publication date	Apr 12, 2016
Grant date	Apr 12, 2016

Abstract

A system and method for controlling the distribution of energy from a plurality of energy resources to a load. The system includes an energy system controller to control the distribution of energy to an electric load provided by a plurality of energy resources. The energy resources include dispatchable sources of energy such as diesel generators and combined heat and power generators; renewable sources of energy including photo-voltaic cells, wind turbines, and geothermal sources; and storage resources such as electrochemical batteries or pumped hydro reserves.

First claim

What is claimed is:

1. An energy control system configured to control the transmission of energy to an electrical load comprising:
a renewable energy resource;
a stored energy resource;
a memory configured to store program instructions; and
an energy system controller operably coupled to the renewable energy resource, to the stored energy resource, and to the memory, the energy system controller configured to execute the stored program instructions to:
predict (i) an energy requirement of the electrical load over a first time horizon that extends for a first time duration and (ii) an energy generation of the renewable energy resource over the first time horizon;
generate (i) an optimally planned power profile for the renewable energy resource over the first time horizon based on the predicted energy requirement and the predicted energy generation and (ii) an optimally planned power profile for the stored energy resource over the first time horizon based on the predicted energy requirement and the predicted energy generation;
determine (i) an energy requirement error value by determining a difference between the predicted energy requirement and an actual energy requirement of the electrical load over a second time horizon that extends for a second time duration that is less than the first time duration of the first time horizon, and (ii) an energy generation error value by determining a difference between the predicted energy generation and an actual energy generation of the renewable energy resource over the second time horizon; and
control (i) a throttling of the renewable energy resource based on the planned power profile for the renewable energy resource, the energy requirement error value, and the energy generation error value, and (ii) a charging and discharging of the stored energy resource based on the planned power profile for the stored energy resource, the energy requirement error value, and the energy generation error value.

2. The energy control system of claim 1 further comprising:
a dispatchable energy resource operably coupled to the energy system controller,
wherein the energy system controller is configured to further execute a stored program instruction to:
generate an optimally planned power profile for the dispatchable energy resource over the first time horizon based on the predicted energy requirement and the predicted energy generation; and
control an energy output of the dispatchable energy resource based on the planned power profile of the dispatchable energy resource, the energy requirement error value, and the energy generation error value.

3. The energy control system of claim 2 , wherein the energy system controller comprises a predictor module configured to:
receive a weather forecast indicative of the future occurrence of a weather pattern over the first time horizon; and
predict the energy requirement of the electrical load and the energy generation of the renewable energy resource based on the weather forecast.

4. The energy control system of claim 3 , wherein the energy system controller further comprises a dispatch planner module operatively coupled to the predictor module and configured to:
receive the predicted energy requirement and predicted energy generation from the predictor module;
generate the planned power profiles for the renewable energy resource, the stored energy resource, and the dispatchable energy resource; and
provide baseline control commands based on the planned power profiles for the renewable energy resource, the stored energy resource, and the dispatchable energy resource.

5. The energy control system of claim 4 , wherein the energy system controller further comprises a dispatch module operatively coupled to the dispatch planner module and configured to:
receive the baseline control commands from the dispatch planner module; and
control (i) the throttling of the renewable energy resource, the charging and discharging of the stored energy resource, and the power output of the dispatchable energy resource by modifying the baseline control commands for the renewable energy resource, the stored energy resource, and the dispatchable energy resource.

6. The energy control system of claim 3 , wherein the weather forecast indicative of the future occurrence of a weather pattern includes at least one of solar irradiance, cloud cover, humidity, and wind speed and direction.

7. The energy control system of claim 1 , wherein the renewable energy resource comprises at least one of a photovoltaic installation, a wind turbine, a biomass plant, a hydroelectric power plant, a geothermal power installation, a tidal power installation, and a wave power installation.

8. The energy control system of claim 1 , wherein the first time horizon is on the order of at least one of a day and a week.

9. The energy control system of claim 1 , wherein the second time horizon is on the order of at least one of a second, a minute and an hour.

10. The energy control system of claim 1 , wherein the renewable energy resource comprises a photovoltaic installation.

11. The energy control system of claim 10 , wherein the energy system controller comprises a predictor module configured to:
receive a weather forecast indicative of the future occurrence of a weather pattern over the first time horizon; and
predict the energy requirement of the electrical load and the energy generation of the renewable energy resource based on the weather forecast.

12. The energy control system of claim 11 , wherein the energy system controller further comprises a dispatch planner module operatively coupled to the predictor module and configured to:
receive the predicted energy requirement and predicted energy generation from the predictor module;
generate the planned power profiles for the renewable energy resource, the stored energy resource, and the dispatchable energy resource; and
provide baseline control commands based on the planned power profiles for the renewable energy resource, the stored energy resource, and the dispatchable energy resource.

13. The energy control system of claim 12 , wherein the energy system controller further comprises a dispatch module operatively coupled to the dispatch planner module and configured to:
receive the baseline control commands from the dispatch planner module; and
control (i) the throttling of the renewable energy resource, the charging and discharging of the stored energy resource, and the power output of the dispatchable energy resource by modifying the baseline control commands for the renewable energy resource, the stored energy resource, and the dispatchable energy resource.

14. A method for controlling the transmission of energy between an electrical load, a renewable energy resource, and a stored energy resource comprising:
predicting (i) an energy requirement of the electrical load over a first time horizon that extends for a first time duration and (ii) an energy generation of the renewable energy resource over the first time horizon;
generating (i) an optimally planned power profile for the renewable energy resource over the first time horizon based on the predicted energy requirement and the predicted energy generation and (ii) an optimally planned power profile for the stored energy resource over the first time horizon based on the predicted energy requirement and the predicted energy generation;
determining (i) an energy requirement error value by determining a difference between the predicted energy requirement and an actual energy requirement of the electrical load over a second time horizon that extends for a second time duration that is les

Assignees

• Bosch Gmbh Robert

Inventors

• Subbotin Maksim V
• Roy Binayak
• Krupadanam Ashish S
• Ahmed Jasim

Classifications

• H02J3/003

  Load forecast, e.g. methods or systems for forecasting future load demand · CPC title

• H02J2101/28

  Wind energy · CPC title

• H02J2101/24

  Photovoltaics · CPC title

• H02J2101/20

  Dispersed power generation using renewable energy sources · CPC title

• Y02E70/30

  Systems combining energy storage with energy generation of non-fossil origin · CPC title