Wind farm prediction of potential and actual power generation
A system and method is disclosed for calculating potential power generation for a wind farm, the wind farm including a plurality of wind turbines. The system and method include measuring the power generated by the wind farm; acquiring turbine data from at least a subset of the plurality of wind turbines, the wind turbine data including local wind speed and power generated at the local wind speed; acquiring wind resource data for the wind farm, the wind resource data including wind speed; generating a power curve from the turbine data and the wind resource data, the power curve plotting the relationship between wind speed and power generated; calculating power lost due to availability, subcurve, and curtailment, the power loss calculated for at least said subset of turbines; and aggregating the power lost in order to determine an aggregate power loss for the wind farm.
1. A method for calculating potential power generation for a wind farm, the wind farm including a plurality of wind turbines, the method comprising the steps of:
measuring the power generated by said wind farm;
acquiring turbine data from at least a subset of the plurality of wind turbines, the wind turbine data including local wind speed and power generated at the local wind speed;
acquiring air density data;
generating a power curve from the turbine data and the air density data, the power curve plotting the relationship between wind speed and power generated;
calculating power lost due to availability, subcurve, and curtailment, the power loss calculated for at least said subset of turbines; and
aggregating the power lost in order to determine an aggregate power loss for the wind farm.
2. The method of claim 1 , further comprising generating a report charting the power generated by the wind farm and the power loss by the wind farm for a specified time interval.
3. The method of claim 1 , further comprising calculating power loss due to the conversion from mechanical energy generated by the plurality of turbines into electrical power.
4. The method of claim 1 , further comprising identifying inefficient data points of said turbine data and wind resource data, the inefficient data points including turbine data and wind resource data associated with a turbine operating at a power generation efficiency level below a pre-determined power generation efficiency level; and filtering the inefficient data points prior to generating the power curve.
5. The method of claim 1 , wherein the air density data is obtained locally or by accessing a regional weather database.
6. The method of claim 4 , wherein the wind resource data is acquired using a numerical weather prediction model.
7. The method of claim 4 , wherein missing wind speed data from the turbine data is backfilled using wind speed from the wind resource data.
8. The method of claim 4 , wherein the wind resource data further comprises air density; and
wherein generating a power curve from the turbine data and the air density data further comprises plotting the relationship between wind speed, air density and power generated.
9. The method of claim 1 , wherein the turbine data is collected using a device provided proximate to each wind turbine of the wind farm.
10. The method of claim 1 , wherein the potential power generation comprises the sum of the power lost and the power generated.
11. A system for calculating potential power generation for a wind farm, the wind farm including a plurality of wind turbines, the system comprising:
a module for measuring the power generated by said wind farm;
a module for acquiring turbine data from at least a subset of the plurality of wind turbines, the wind turbine data including local wind speed and power generated at the local wind speed;
a module for acquiring air density data;
a module for generating a power curve from the turbine data and air density data, the power curve plotting the relationship between wind speed and power generated;
a module for calculating power lost due to availability, subcurve, and curtailment, the power loss calculated for at least said subset of turbines; and
a module for aggregating the power lost in order to determine an aggregate power loss for the wind farm.
12. The system of claim 11 , further comprising a module for generating a report charting the power generated by the wind farm and the power loss by the wind farm for a specified time interval.
13. The system of claim 11 , further comprising a module for calculating power loss due to the conversion from mechanical energy generated by the plurality of turbines into electrical power.
14. The system of claim 11 , further comprising a module for identifying inefficient data points of said turbine data and wind resource data, the inefficient data points including turbine data and wind resource data associated with a turbine operating at a power generation efficiency level below a pre-determined power generation efficiency level; and a module for filtering the inefficient data points prior to generating the power curve.
15. The system of claim 14 , wherein missing wind speeds from the turbine data is backfilled using wind speed from the wind resource data.
16. The system of claim 14 , wherein the wind resource data further comprises air density;
and wherein the module for generating a power curve from the turbine data and the wind resource data further plots the relationship between wind speed, air density and power generated.
17. The system of claim 11 , wherein the air density data is obtained locally or by accessing a regional weather database.
18. The system of claim 14 , wherein the wind resource data is acquired using a numerical weather prediction model.
19. The system of claim 11 , wherein the turbine data is collected using a device provided proximate to each wind turbine of the wind farm.
20. The system of claim 11 , wherein the potential power generation comprises the sum of the power lost and the power generated.