System and Method For Energy Distribution

• US 20140172182A1
• Filed: 12/19/2012
• Published: 06/19/2014
• Est. Priority Date: 12/19/2012
• Status: Active Grant

• Current Assignee: Bosch Energy Storage Solutions Llc, Robert Bosch GmbH
• Original Assignee: Robert Bosch GmbH
• Inventors: Roy, Binayak, Ahmed, Jasim, Subbotin, Maksim V., Krupadanam, Ashish S.
• Granted Patent: US 9,312,698 B2
• Time in Patent Office: Days
• US Class Current: 700/291
• CPC Class Codes: H02J 2300/20 The dispersed energy generation being of renewable origin
• CPC Class Codes: H02J 2300/24 of photovoltaic origin
• CPC Class Codes: H02J 2300/28 The renewable source being wind energy wind motors F03D
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H02J 3/32 using batteries with converting means
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: H02J 7/35 with light sensitive cells
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02E 10/50 Photovoltaic [PV] energy
• CPC Class Codes: Y02E 10/56 Power conversion systems, e.g. maximum power point trackers
• CPC Class Codes: Y02E 10/76 Power conversion electric or electronic aspects
• CPC Class Codes: Y02E 70/30 Systems combining energy storage with energy generation of non-fossil origin
• CPC Class Codes: 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
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving

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.

Claims

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 an energy requirement of the load over a long time horizon,

predict energy to be generated by the renewable energy resource over the long time horizon,

predict energy capacity stored in the stored energy resource over the long time horizon,

generate optimally planned power profiles for the renewable energy resource and the stored energy resource in the energy system over the long time horizon,

compare the predicted energy requirement, the predicted energy generation, and the predicted energy capacity to an actual energy requirement of the load, an actual energy generation by the renewable energy resource, and an actual energy capacity in the stored energy resource over a short time horizon, and

control the supply of energy to the electrical load based upon the optimally planned power profiles and the comparison.

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 predict an energy potential of the dispatchable energy resource over the long time horizon, and to compare the predicted energy potential, the predicted energy requirement, the predicted energy generation, and the predicted energy capacity to the actual energy requirement of the load, the actual energy generation by the renewable energy resource, and the actual energy capacity in the stored energy resource over the short time horizon.

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 long time horizon and to execute the stored program instructions to compare the predicted energy requirement, the predicted energy generation, and the weather forecast and to provide a first predictor indicative of a future energy requirement of the load and a second predictor indicative of a future energy generation capability of the renewable energy resource.

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 first predictor and the second predictor and to execute the stored program instructions to provide baseline power control commands for the dispatchable resource and for the renewable resource, and a load prediction command, wherein the baseline power control commands and the load prediction command are provided as a result of solving a numerical optimization problem.

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 execute the stored program instructions to provide a renewable resource control to the renewable energy resource and a storage device control to the storage device resource both of which are generated at least in part from the baseline power control commands and the load prediction command, wherein the dispatch module controls the transmission of energy from the renewable energy resource to the load and to the storage device and controls the transmission of energy from the stored energy resource to the load.

6. The energy control system of claim 5 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.

7. The energy control system of claim 6 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.

8. The energy control system of claim 7 wherein the long time horizon is on the order of at least one of a day and a week.

9. The energy control system of claim 8 wherein the short 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 long time horizon and to execute the stored program instructions to compare the predicted energy requirement, the predicted energy generation, and the weather forecast and to provide a first predictor indicative of a future energy requirement of the load and a second predictor indicative of a future energy generation capability of the renewable energy resource.

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 first predictor and the second predictor and to execute the stored program instructions to provide baseline power control commands for the dispatchable resource and for the renewable resource, and a load prediction command, wherein the baseline power control commands and the load prediction command are provided as a result of solving a numerical optimization problem, and a baseline prediction of 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 execute the stored program instructions to provide a renewable resource control to the renewable energy resource and a storage device control to the storage device resource both of which are generated at least in part from the baseline power control commands and the load prediction command, wherein the dispatch module controls the transmission of energy from the renewable energy resource to the load and the stored energy resource and controls the transmission of energy from the stored energy resource to the load.

14. A method for controlling the transmission of energy between an electrical load, a renewable energy resource, and a stored energy resource comprising:

predicting an energy requirement of the load over a long time horizon,

predicting energy to be generated by the renewable energy resource over the long time horizon,

predicting energy capacity stored in the stored energy resource over the long time horizon,

generating optimally planned power profiles for each of the resources in the energy system on the long time horizon,

comparing the predicted energy requirement, the predicted energy generation, and the predicted energy capacity to an actual energy requirement of the load, an actual energy generation by the renewable energy resource, and an actual energy capacity in the stored energy resource over a short time horizon, and

controlling the supply of energy to the electrical load based upon the planned strategy and comparison with real-time measurements.

15. The method of claim 14 further comprising:

predicting an energy potential of a dispatchable energy resource over the long time horizon; and

comparing the predicted energy potential, the predicted energy requirement, the predicted energy generation, and the predicted energy capacity to the actual energy requirement of the load, the actual energy generation by the renewable energy resource, and the actual energy capacity in the stored energy resource over the short time horizon.

16. The method of claim 15 further comprising:

receiving a weather forecast indicative of the future occurrence of a weather pattern over the long time horizon,

comparing the predicted energy requirement, the predicted energy generation, and the weather forecast, and

providing a first predictor indicative of a future energy requirement of the load and a second predictor indicative of a future energy generation capability of the renewable energy resource.

17. The method of claim 16 further comprising providing baseline power control commands for the dispatchable resource and for the renewable resource, and a load prediction command, wherein the baseline power control commands and the load prediction command are provided as a result of solving a numerical optimization problem, and a baseline prediction of the stored energy resource and the dispatchable energy resource in response to the provided first predictor and the second predictor.

18. The method of claim 17 further comprising providing a renewable energy resource control to the renewable energy resource and a stored energy resource control to the storage device resource, both of which are generated at least in part from the baseline power control commands and the load prediction command, wherein the renewable energy resource control controls the transmission of energy from the renewable energy resource to the load and the stored energy resource control controls the transmission of energy from the stored energy resource to the load.

19. The method of claim 18 wherein the predicting energy to be generated by the renewable energy resource over the long time horizon includes predicting energy to be generated by a at least one of a photovoltaic array, a wind turbine, a hydroelectric power plant, a tidal power installation, and a wave power installation.

20. The method of claim 19 wherein the receiving the weather forecast indicative of the future occurrence of a weather pattern over the long time horizon includes at least one of solar irradiance, cloud cover, humidity, and wind speed and direction.

21. The method of claim 20 wherein the long time horizon is on the order of at least one of a day and a week.

22. The method of claim 21 wherein the short time horizon is on the order of at least one of a second, a minute and an hour.