Sridhar Sahukari

US Patent:

20130030784, Jan 31, 2013

Filed:

Apr 30, 2012

Appl. No.:

13/460360

Inventors:

Daniel VIASSOLO - Katy TX, US
Sridhar SAHUKARI - Houston TX, US
Gerald MURPHY - Houston TX, US
Bo HESSELBÆK - Kolding, DK
Jianhui ZHANG - Houston TX, US
Aditya UPADHYE - Houston TX, US
Yonatan ABEBE - Houston TX, US
Jason HOFFMAN - Alburtis PA, US
Juan SANTOS - Katy TX, US
Brett ROLLOW - Katy TX, US

Assignee:

VESTAS WIND SYSTEMS A/S - Aarhus N

International Classification:

G06F 17/50

US Classification:

703 18

Abstract:

Embodiments for determining an optimal configuration for a renewable energy power plant are provided. The power plant, which may be a virtual power plant, includes one or more generator devices and one or more energy storage devices that may be operated to undertake one or more operating applications. Data indicative of the power output of the power plant and the voltage level at the energy storage system connection point is received as an input. Using this data, combinations of energy storage devices and operating applications stored on a database are processed and, for each energy storage and operating application pair, a value indicative of the profitability of undertaking the operating application is determined. These values are used to rank the combinations of energy storage devices and operating applications according to their profitability, which in turn is used to select the most efficient or profitable application/energy storage pair.

US Patent:

20140324495, Oct 30, 2014

Filed:

Feb 21, 2014

Appl. No.:

14/186816

Inventors:

- Aarhus N, DK
Mohamed Faisal Bin MOHAMED SALLEH - Singapore, SG
Sridhar SAHUKARI - Houston TX, US
Pey Yen SIEW - Singapore, SG
Sunita SINGH - Sugar Land TX, US
Wanying CHEN - Singapore, SG
Scott MUTCHLER - Eirie CO, US

Assignee:

VESTAS WIND SYSTEMS A/S - Aarhus N

International Classification:

G06Q 10/06
G06Q 40/00
G06Q 50/06

US Classification:

705 713

Abstract:

Determining when to perform preventative maintenance is an important consideration for maximizing the revenue of a wind turbine. For example, performing preventative maintenance may be cheaper than replacing turbine components when they fail. When determining to perform preventative maintenance, a maintenance scheduler may consider multiple factors. These factors may include the probability of failure, the predicted price of energy, predicted wind power production, resource constraints, and the like. Specifically, the maintenance scheduler may predict the future values of these factors which are then integrated into a net present value (NPV) for each of the components. Based on the respective NPVs, the maintenance scheduler may determine which maintenance actions to perform and in what order.