Systems and methods for dynamic tuning of controller in power grids

A system, comprising:

• one or more processors;
• and
• memory storing instructions for execution by the one or more processors, the instructions for operations comprising:
• controlling a plurality of assets in a power grid system, the controlling comprising:
• receiving live operational data associated with the power grid system;
• using a controller having an optimizer for performing multi-objective compromise optimization for a plurality of conflicting objectives based on the live operational data, wherein the plurality of conflicting objectives are associated with the controlling the plurality of assets;
• generating historical performance information of the controller in relation to at least one of the plurality of conflicting objectives based on the received live operational data;
• determining if a performance of the controller meets a predefined level of performance in relation to at least one of the plurality of objectives based on the historical performance information of the controller;
• and
• adjusting the optimizer of the controller in response to determining that the performance of the controller does not meet the predefined level of performance.

A non-transitory computer-readable medium having computer-readable instructions stored thereon, the computer-readable instructions executable by at least one processor to cause the performance of operations comprising:

• controlling a plurality of assets in a power grid system, the controlling comprising:
• receiving live operational data associated with the power grid system;
• using a controller having an optimizer for performing multi-objective compromise optimization for a plurality of conflicting objectives based on the live operational data, wherein the plurality of conflicting objectives are associated with the controlling the plurality of assets;
• generating historical performance information of the controller in relation to at least one of the plurality of conflicting objectives based on the received live operational data;
• determining if a performance of the controller meets a predefined level of performance in relation to at least one of the plurality of objectives based on the historical performance information of the controller;
• adjusting the optimizer of the controller in response to determining that the performance of the controller does not meet the predefined level of performance.