System and method for hybrid power generation

1. A hybrid power generation system comprising:

a processor in data communication with a non-transitory computer readable medium for controlling a plurality of power sources to substantially optimize energy generation by the plurality of power sources, wherein the plurality of power sources comprises a solar panel and a battery that generate energy;

a computer program comprising instructions stored in the non-transitory computer readable medium that are executed by the processor, the computer program comprising, instructions to determine a current operating state for each of the plurality of power sources;

instructions to determine a new operating state for each of the plurality of power sources to substantially optimize power generated for each of the power sources;

instructions to replace the current operating state for each of the plurality of power sources to the new operating state for each of the plurality of power sources; and

instructions to determine a current system load serviced by the plurality of power sources, wherein the operating states further comprises a load on a diesel engine, speed of the diesel engine and air fuel mixture supplied to the diesel engine, wherein the operating state further comprises torque of the diesel engine.

2. The system of claim 1 , wherein the operating state comprises a load on a natural gas engine, speed of the natural gas engine and air fuel mixture supplied to the natural gas engine, wherein the operating state further comprises torque of the natural gas engine.

3. The system of claim 1 , wherein the power sources further comprise a plurality of different types of batteries and the operating states further comprises a load on the batteries.

4. The system of claim 1 , wherein the computer program is a linear program.

5. The system of claim 1 , wherein the computer program is an expert system.

6. The system of claim 1 , wherein the computer program is a neural network.

7. A computerized method for producing by from a plurality of power sources, the method comprising:

determining on an energy management processor, a current operating state for each of the plurality of power sources;

determining on the energy management processor a new operating state for each of the plurality of power sources to substantially optimize power generated for each of the power sources;

replacing on the energy management processor the current operating state for each of the plurality of power sources to the new operating state for each of the plurality of power sources; and

determining a current system load serviced by the plurality of power sources, wherein the operating states further comprises a load on the diesel engine, speed of a diesel engine and air fuel mixture supplied to the diesel engine, wherein the operating state further comprises torque of the diesel engine.

8. The method of claim 7 , wherein the operating state comprises a load on a natural gas engine, speed of the natural gas engine and air fuel mixture supplied to the natural gas engine, wherein the operating state further comprises torque of the natural gas engine.

9. The method of claim 7 , wherein the power sources further comprise a plurality of different types of batteries and the operating states further comprises a load on the batteries.

10. The method of claim 7 , wherein the energy management processor is a linear program.

11. The method of claim 7 , wherein the energy management processor is an expert system.

12. The method of claim 7 , wherein the energy management processor is a neural network.

13. A computer readable medium contain instructions that are executed

a processor in data communication with a non-transitory computer readable medium to substantially optimize energy generated by a plurality of power sources;

a processor in data communication with a non-transitory computer readable medium for controlling a plurality of power sources to substantially optimize energy generation by the plurality of power sources, wherein the plurality of power sources comprises a solar panel and a battery that generate energy;

a computer program comprising instructions stored in the non-transitory computer readable medium that are executed by the processor, the computer program comprising, instructions to determine a current operating state for each of the plurality of power sources;

instructions to determine a new operating state for each of the plurality of power sources to substantially optimize power generated for each of the power sources;

instructions to replace the current operating state for each of the plurality of power sources to the new operating state for each of the plurality of power sources; and

instructions to determine a current system load serviced by the plurality of power sources, wherein the operating states further comprises a load on a diesel engine, speed of the diesel engine and air fuel mixture supplied to the diesel engine, wherein the operating state further comprises torque of the diesel engine.

14. The medium of claim 13 , wherein the operating state comprises a load on a natural gas engine, speed of the natural gas engine and air fuel mixture supplied to the natural gas engine, wherein the operating state further comprises torque of the natural gas engine.

15. The medium of claim 13 , wherein the power sources further comprise a plurality of different types of batteries and the operating states further comprises a load on the batteries.

16. The medium of claim 13 , wherein the computer program is a linear program.

17. The medium of claim 13 , wherein the computer program is a neural network.