Method and system for hybrid wind power generation

Patent metadata

Field	Value
Publication number	US-10066604-B2
Application number	US-201514709505-A
Country	US
Kind code	B2
Filing date	May 12, 2015
Priority date	May 13, 2014
Publication date	Sep 4, 2018
Grant date	Sep 4, 2018

Abstract

A method for optimizing a hybrid wind system including a wind farm having a plurality of wind turbines and one or more energy storage units, is presented. The method includes acquiring actual wind power data associated with one or more dispatch windows. The method includes determining forecasted wind farm power estimates corresponding to the dispatch windows using a plurality of forecast schemes. The method includes computing difference values by comparing the forecasted wind farm power estimates to the actual wind power data. The method includes identifying a wind power forecast scheme based at least in part on the computed difference values and balancing a penalty to the grid with life consumption of the energy storage units while regulating the wind turbines and the energy storage units based at least in part on a subsequent forecasted wind farm power estimate generated using the identified wind power forecast scheme.

First claim

The invention claimed is:

1. A method for operating a hybrid wind system comprising a wind farm having a plurality of wind turbines and one or more energy storage units to decrease a frequency of replacement of the one or more energy storage units, the method comprising:
acquiring actual wind power data associated with one or more dispatch windows;
determining, by a processor, forecasted wind farm power estimates corresponding to the one or more dispatch windows using a plurality of forecast schemes;
computing, by the processor, difference values by comparing the forecasted wind farm power estimates to the actual wind power data;
identifying, by the processor, a wind power forecast scheme based at least in part on the computed difference values;
determining, by the processor, a damage equivalent quantity of the one or more energy storage units based at least in part on the forecasted wind farm power estimates for a dispatch window of the one or more dispatch windows determined based on the identified forecast scheme and the actual wind power data for the dispatch window of the one or more dispatch windows,
wherein the damage equivalent quantity for a respective energy storage unit is given by equation:

DEQ
=

(

1

N
DEQ

⁢

∑

i
=
1

n

⁢

⁢

n
i

⁢

S
i
m

)

1
m

,

wherein DEQ is the damage equivalent quantity, N DEQ is a number of cycles of the respective energy storage units, S i is a depth of discharge, n i is a number of cycles of the depth of discharge S i , and m is a slope of the depth of discharge versus number of cycles curve; and

balancing, by the processor, a penalty to be paid to a grid operator with the damage equivalent quality of the one or more energy storage units while regulating the wind turbines and the one or more energy storage units based at least in part on a subsequent forecasted wind farm power estimate generated using the identified wind power forecast scheme.

2. The method of claim 1 , wherein the balancing of the penalty to be paid to the grid operator with the damage equivalent quality of the one or more energy storage units comprises determining a dispatchability quantity of the wind farm and a consumption equivalent of the one or more energy storage units based at least in part on the subsequent forecasted wind farm power estimate generated using the identified wind power forecast scheme.

3. The method of claim 2 , further comprising determining the cost of the one or more energy storage units based on the consumption equivalent and determining the penalty to be paid to the grid operator based on the dispatchability quantity.

4. The method of claim 1 , wherein the plurality of forecast schemes comprises at least several of a persistence forecast scheme, an auto-regressive forecast scheme, a linear fitting forecast scheme, a neural network based scheme, and a support vector regression scheme.

5. The method of claim 1 , wherein the actual wind power data associated with a dispatch window of the one or more dispatch windows comprises a mean of actual wind power data acquired at different time slots corresponding to the dispatch window of the one or more dispatch windows.

6. The method of claim 1 , wherein balancing the penalty to be paid to the grid operator with the damage equivalent quantity of the one or more energy storage units comprises acquiring a balance between cost of the one or more energy storage units and corresponding penalty to be paid to the grid operator.

7. A hybrid wind system, comprising:
a wind farm coupled to a grid and comprising a plurality of wind turbines and one or more energy storage units;
a controller programmed for executing the steps of:
acquiring actual wind power data associated with one or more dispatch windows;
determining forecasted wind farm power estimates corresponding to the one or more dispatch windows using a plurality of forecast schemes;
computing difference values by comparing the forecasted wind farm power estimates to the actual wind power data;
identifying a wind power forecast scheme based at least in part on the computed difference values; and
balancing a penalty to be paid to a grid operator with a damage equivalent quantity of the one or more energy storage units while regulating the wind turbines and one or more energy storage units based at least in part on a subsequent forecasted wind farm power estimate generated using the identified wind power forecast scheme,
wherein the damage equivalent quantity for a respective energy storage unit is given by equation:

DEQ
=

(

1

N
DEQ

⁢

∑

i
=
1

n

⁢

n
i

⁢

S
i
m

)

1
m

,

wherein DEQ is the damage equivalent quantity, N DEQ is a number of cycles of the respective energy storage units, S i is a depth of discharge, n i is a number of cycles of the depth of discharge S i , and m is a slope of the depth of discharge versus number of cycles curve.

8. The system of claim 7 , wherein the one or more energy storage units comprises one or more batteries.

9. The system of claim 7 , further comprising one or more tran

Assignees

• Gen Electric

Inventors

• Deb Dipankar
• Ambekar Akshay Krishnamurty
• Sagi Deepak Raj

Classifications

• F03D9/257

  the wind motor being part of a wind farm · CPC title

• G05B13/021

  in which a variable is automatically adjusted to optimise the performance · CPC title

• F03D9/11

  storing electrical energy · CPC title

• F03D7/048 Primary

  controlling wind farms · CPC title

• Y02E10/723

  Cross-Sectional Technologies · mapped topic