METHOD AND SYSTEM FOR MANAGING MICROGRID ASSETS

• US 20200133220A1
• Filed: 05/31/2018
• Published: 04/30/2020
• Est. Priority Date: 06/30/2017
• Status: Active Grant

• Current Assignee: Merit SI, LLC (Enbridge Incorporated)
• Original Assignee: Merit SI, LLC (Enbridge Incorporated)
• Inventors: ANICHKOV, Dmitriy, KUSTER, Thomas P.
• Granted Patent: US 11,262,718 B2
• Time in Patent Office: Days
• CPC Class Codes: G05B 19/042 using digital processors G05B19/05 takes precedence
• CPC Class Codes: G05B 2219/2639 Energy management, use maximum of cheap power, keep peak load low
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: Y02E 40/70 Smart grids as climate change mitigation technology in the energy generation sector
• 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

Abstract

A method for managing a microgrid, the microgrid having an intermittent energy source and energy storage, comprising: using a microgrid asset management system, dispatching the energy storage to maintain optimal power flow to and from a power grid by: producing a generation forecast and a generation forecast error probability distribution for an intermittent energy source coupled to the microgrid from a historic generation forecast and one or more measurements; generating random intermittent energy source generation inputs from at least one of historic generation data, the historic generation forecast, and the generation forecast error probability distribution; using the random intermittent energy source generation inputs, calculating a microgrid performance value using a microgrid performance model and a microgrid financial value using a microgrid financial model; and, selecting an energy storage dispatch scenario to optimize operation of the microgrid using at least one of the microgrid performance value and the microgrid financial value.

Claims

1. A method for managing a microgrid, the microgrid having an intermittent energy source and energy storage coupled thereto, the method comprising:

using a microgrid asset management system, dispatching the energy storage to maintain optimal power flow to and from a power grid coupled to the microgrid by;

producing a generation forecast and a generation forecast error probability distribution for an intermittent energy source coupled to the microgrid from a historic generation forecast and one or more measurements;

generating random intermittent energy source generation inputs from at least one of historic generation data, the historic generation forecast, and the generation forecast error probability distribution;

using the random intermittent energy source generation inputs, calculating a microgrid performance value using a microgrid performance model and a microgrid financial value using a microgrid financial model; and

,

selecting an energy storage dispatch scenario to optimize operation of the microgrid using at least one of the microgrid performance value and the microgrid financial value.

2. The method of claim 1, wherein the intermittent energy source includes a photovoltaic energy source.

3. The method of claim 1, wherein the intermittent energy source includes a wind turbine.

5. The method of claim 1, wherein the intermittent energy source is one or more intermittent energy sources.

6. The method of claim 1, wherein the microgrid has an energy load coupled thereto.

7. The method of claim 6, wherein the energy load is one or more energy loads.

8. The method of claim 7, further comprising:

producing a load forecast error probability distribution for the energy load from a historic load forecast and one or more measurements;

generating random energy load inputs from at least one of historic load data, the historic load forecast, and the load forecast error probability distribution;

using the energy load inputs, further calculating the microgrid performance value using the microgrid performance model and the microgrid financial value using the microgrid financial model; and

,

selecting the energy storage dispatch scenario to further optimize the operation of the microgrid using at least one of the microgrid performance value and the microgrid financial value.

9. The method of claim 8, wherein the load forecast error probability distribution is produced for different time horizons.

10. The method of claim 9, wherein range definitions for the time horizons are optimized.

11. The method of claim 8, wherein the load forecast error probability distribution is produced for one or more of a time of the day, a day of the week, seasonally, and based on microgrid operating conditions including weather.

12. The method of claim 1, wherein the microgrid has coupled thereto a controllable load.

13. The method of claim 12, wherein the controllable load is one or more controllable loads.

14. The method of claim 13, further comprising controlling a power consumption of the controllable load to further optimize the operation of the microgrid.

15. The method of claim 1, wherein the microgrid has coupled thereto a dispatchable energy source.

16. The method of claim 15, wherein the dispatchable energy source is one or more dispatchable energy sources.

17. The method of claim 16, further comprising controlling a power generation of the dispatchable energy source to further optimize the operation of the microgrid.

18. The method of claim 11, further comprising:

generating random intermittent energy source generation inputs from at least one of the historic generation data, the historic generation forecast, and the generation forecast error probability distribution; and

,

using the energy storage dispatch scenario, selecting optimal microgrid characteristics.

19. The method of claim 18, further comprising:

generating random energy load inputs from at least one of the historic load data, the historic load forecast, and the load forecast error probability distribution; and

,

using the energy storage dispatch scenario, selecting the optimal microgrid characteristics.

20. The method of claim 1, further comprising generating an optimal schedule for the dispatching of the energy storage by compensating for uncertainties and forecast errors based on real-time measurements.

21. An asset management system for managing a microgrid, the microgrid having an intermittent energy source and energy storage coupled thereto, the asset management system comprising:

a processor coupled to memory; and

,

at least one of hardware and software modules within the memory and controlled or executed by the processor, the modules including computer readable instructions executable by the processor for causing the asset management system to implement the method of claim 1.