METHOD AND SYSTEM FOR CONTROLLING CHARGE AND DISCHARGE OF HIGH POWERED ENERGY STORAGE SYSTEMS

• US 20170091878A1
• Filed: 09/13/2016
• Published: 03/30/2017
• Est. Priority Date: 09/25/2015
• Status: Abandoned Application

• Current Assignee: Texas Tech University System
• Original Assignee: Texas Tech University System
• Inventors: Subburaj, Anitha Sarah
• Application Number:
  US15/263,760
• Publication Number:
  US 20170091878A1
• Time in Patent Office: Days
• US Class Current: 1/1
• 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: H01M 2220/10 Batteries in stationary systems, e.g. emergency power source in plant
• CPC Class Codes: H02J 2300/28 The renewable source being wind energy
• CPC Class Codes: H02J 3/008 involving trading of energy or energy transmission rights
• CPC Class Codes: H02J 3/32 using batteries with converting means
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: H02M 5/42 by static converters
• CPC Class Codes: Y02E 10/76 Power conversion electric or electronic aspects
• CPC Class Codes: Y02E 60/10 Energy storage using batteries
• 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 50/10 Energy trading, including energy flowing from end-user application to grid

Abstract

A modeling framework performs an economic analysis of a battery storage system to determine the economic feasibility with different business opportunities. The installed battery system can be utilized to optimize the energy flow between the wind farm and the utility. Several factors can be considered when performing the analysis, the most important being, how to determine the best optimal time to charge and discharge the battery to maximize economic benefit.

Claims

1. A method for physically optimizing energy usage and derive an economic benefit from a high energy storage system, said method comprising:

optimizing energy flow between a renewable energy facility and a utility utilizing an installed battery system that includes at least one battery in the context of a high-energy storage system; and

performing an economic analysis of said high energy storage system that includes considering and processing a plurality of factors as a part of said economic analysis including how to determine an optimal time to charge and discharge said at least one battery in said installed battery system and whether to sell excess power and/or implement peak shaving so as to maximize an economic benefit from said renewable energy facility, said utility, and said installed battery system.

2. The method of claim 1 further comprising determining a battery life cycle estimation.

3. The method of claim 1 wherein said plurality of factors includes:

a cost of energy required to purchase the power to charge said at least one battery;

a cost of energy required to sell the excess power with respect to said at least one battery; and

an availability of renewable power in an economic manner considering the past, present, and future cost analysis with respect to said at least one battery.

4. The method of claim 1 further comprising graphically displaying at least one factor among said plurality of factors in a graphical user interface including recommended actions with respect to said at least one battery.

5. The method of claim 1 wherein said renewable energy facility comprises a wind farm.

6. The method of claim 1 wherein said plurality of factors includes battery production data with respect to said at least one battery, wind production data with respect to said wind farm, load data, local marginal price (LMP) data, and frequency response data.

7. The method of claim 1 further comprising determining an economic feasibility with different business opportunities in response to performing said economic analysis on said high energy storage system.

8. The method of claim 1 wherein said at least one battery is associated with at least one wind production module and is operably coupled to at least one AC-DC-AC converter which in turn is operably coupled to at least one electrical transformer that provides energy to a main grid.

9. The method of claim 1 wherein said at least one battery is operably coupled to at least one DC-AC bi-directional converter which in turn is operably coupled to at least one electrical transformer that provides energy to a main grid.

10. A system for physically optimizing energy usage and derive an economic benefit from a high energy storage system, said system comprising:

a renewable energy facility and a high-energy storage system, wherein energy flow between said renewable energy facility and a utility is optimized utilizing an installed battery system that includes at least one battery in the context of said high-energy storage system; and

a module performing an economic analysis of said high energy storage system that includes considering and processing a plurality of factors as a part of said economic analysis including how to determine an optimal time to charge and discharge said at least one battery in said installed battery system and whether to sell excess power and/or implement peak shaving so as to maximize an economic benefit from said renewable energy facility, said utility, and said installed battery system.

11. The system of claim 10 further comprising a module for determining a battery life cycle estimation.

12. The system of claim 10 wherein said plurality of factors includes:

a cost of energy required to purchase the power to charge said a least one battery;

a cost of energy required to sell the excess power with respect to said at least one battery; and

an availability of renewable power in an economic manner considering the past, present, and future cost analysis with respect to said at least one battery.

13. The system of claim 10 further comprising a graphical user interface that graphically displays at least one factor among said plurality of factors within said graphical user interface including recommended actions with respect to said at least one battery.

14. The system of claim 10 wherein said renewable energy acuity comprises, a wind farm.

15. The system of claim 14 wherein said plurality of factors includes battery production data with respect to said at least one battery, wind production data with respect to said wind farm, load data, local marginal price (LMP) data, and frequency response, data.

16. The system of claim 10 further comprising a module for determining an economic feasibility with different business opportunities in response to performing said economic analysis on said high energy storage system.

17. The system of claim 10 wherein said at least one battery is associated with at least one wind production module and is operably coupled to at least one AC-DC-AC converter which in turn is operably coupled to at least one electrical transformer that provides energy to a main grid.

18. The system of claim 10 wherein said at least one battery is operably coupled to at least one DC-AC bi-directional converter which in turn is operably coupled to at least one electrical transformer that provides energy to a main grid.

19. A system for physically optimizing energy usage and derive an economic benefit from a high energy storage system, said system comprising:

a renewable energy facility and a high-energy storage system that includes an installed battery system, wherein energy flow between said renewable energy facility and a utility is optimized utilizing said installed battery system that includes at least one battery in the context of said high-energy storage system;

at least one processor; and

a computer-usable medium embodying computer program code, said computer-usable medium capable of communicating with said at least one processor, said computer program code comprising instructions executable by said at least one processor and configured for performing an economic analysis of said high energy storage system that includes considering and processing a plurality of factors as a part of said economic analysis including how to determine an optimal time to charge and discharge said at least one battery in said installed battery system and whether to sell excess power and/or implement peak shaving so as to maximize an economic benefit from said renewable energy facility, said utility, and said installed battery system.

20. The system of claim 19 further comprising a graphical user interface that graphically displays at least one factor among said plurality of factors within said graphical user interface including recommended actions with respect to said at least one battery.