Method and system for determining system settings for an industrial system

1. A method of determining system settings for an industrial system, the method comprising the following steps performed by a computing system:

retrieving digital twin data of a digital twin of the industrial system, wherein the industrial system comprises a plurality of energy generation and/or storage devices, a plurality of control devices, and a communication network connected to the plurality of control devices, wherein the digital twin is configured to mimic behavior of the plurality of energy generation and/or storage devices and behavior of the plurality of control devices;

synchronizing the digital twin with the industrial system by:

monitoring messages transmitted in the communication network of the industrial system; and

based on the messages transmitted, adapting the digital twin to reflect changes in physical devices of the industrial system;

performing system simulations of the industrial system based on the digital twin data to explore candidate system settings for the industrial system prior to application of one of the candidate system settings to the industrial system, the system simulations being performed on an ongoing basis during commissioning and/or operation of the industrial system,

wherein at least one objective or at least one constraint used in the system simulations is changed while the system simulations are being performed on an ongoing basis; and

providing results of the system simulations for identifying one of the candidate system settings for application to the industrial system.

2. The method of claim 1 , wherein the system simulations are performed continuously during commissioning and/or operation of the industrial system.

3. The method of claim 1 , wherein the system simulations are performed in a multi-objective optimization routine that uses the digital twin data.

4. The method of claim 3 , further comprising receiving, at an interface, an input that alters the at least one objective and/or the at least one constraint of the multi-objective optimization, and modifying the multi-objective optimization routine in response to the input.

5. The method of claim 1 , wherein performing the system simulations comprises retrieving additional information different from the digital twin data from a source distinct from the industrial system and using the additional information in the system simulations.

6. The method of claim 5 , wherein the additional information comprises weather forecast data and/or resource price data.

7. The method of claim 1 , further comprising continuously updating the digital twin to ensure consistency of the digital twin with the industrial system during operation of the industrial system.

8. The method of claim 1 , further comprising applying the identified one of the candidate system settings on-the-fly to the industrial system.

9. The method of claim 8 , wherein applying the identified one of the candidate system settings comprises transferring the one of the candidate system settings identified for the digital twin to the industrial system.

10. The method of claim 8 , further comprising, before the applying, validating the identified one of the candidate system settings by:

generating another digital twin of the industrial system; and

simulating the industrial system using the another digital twin with the identified one of the candidate system settings while the digital twin is running in parallel.

11. The method of claim 1 , wherein the industrial system is a power grid or part of a power grid.

12. The method of claim 1 , wherein the industrial system is a distributed energy resource(DER), or a microgrid.

13. A tangible storage medium having stored thereon computer-readable instruction code comprising instructions to determine system settings for an industrial system which, when executed by at least one processor of a computing system, cause the at least one processor to:

retrieve digital twin data of a digital twin of the industrial system, wherein the industrial system comprises a plurality of energy generation and/or storage devices, a plurality of control devices, and a communication network connected to the plurality of control devices, wherein the digital twin is configured to mimic behavior of the plurality of energy generation and/or storage devices and behavior of the plurality of control devices;

synchronize the digital twin with the industrial system by:

monitoring messages transmitted in the communication network of the industrial system; and

based on the messages transmitted, adapting the digital twin to reflect changes in physical devices of the industrial system;

perform system simulations of the industrial system based on the digital twin data to explore candidate system settings for the industrial system prior to application of one of the candidate system settings to the industrial system, the system simulations being performed on an ongoing basis during commissioning and/or operation of the industrial system;

wherein at least one objective or at least one constraint used in the system simulations is changed while the system simulations are being performed on an ongoing basis; and

provide results of the system simulations for identifying one of the candidate system settings for application to the industrial system.

14. A computing system comprising at least one integrated semiconductor circuit programmed to:

retrieve digital twin data of a digital twin of an industrial system, wherein the industrial system comprises a plurality of energy generation and/or storage devices, a plurality of control devices, and a communication network connected to the plurality of control devices, wherein the digital twin is configured to mimic behavior of the plurality of energy generation and/or storage devices and behavior of the plurality of control devices;

synchronize the digital twin with the industrial system by:

monitoring messages transmitted in the communication network of the industrial system; and

based on the messages transmitted, adapting the digital twin to reflect changes in physical devices of the industrial system;

perform system simulations of the industrial system based on the digital twin data to explore candidate system settings for the industrial system prior to application of the system settings to the industrial system, wherein the system simulations are performed on an ongoing basis during commissioning and/or operation of the industrial system, wherein at least one objective or at least one constraint used in the system simulations is changed while the system simulations are being performed on an ongoing basis; and

provide results of the system simulations for identifying system settings to be applied to the industrial system.

15. The method of claim 3 , wherein information on explored solutions of the multi-objective optimization routine including information on explored candidate system settings and their impact on the multi-objective optimization are output via a user interface to allow a system operator to see an explored solution space.

16. The computing system of claim 14 , wherein the system simulations are performed in a multi-objective optimization routine that uses the digital twin data.

17. The computing system of claim 16 , further comprising a user interface, wherein information on explored solutions of the multi-objective optimization routine including information on explored candidate system settings and their impact on the multi-objective optimization are output via the user interface to allow a system operator to see an explored solution space.

18. The computing system of claim 16 , further comprising an interface to receive an input that alters the at least one objective and/or the at least one constraint of the multi-objective optimization, the computing system being programmed to modify the multi-objective optimization routine in response to the input.

19. The computing system of claim 14 , wherein the computing system is programmed to validate the identified system settings to be applied to the industrial system by:

generating a copy of the digital twin; and

running the copy of the digital twin with the identified system settings in parallel with the digital twin.