Summary In this paper, a tuning approach for HVDC control technology based on virtual synchronous power (VSP) concept is developed and reflected in an extended multiarea automatic generation control (AGC) system including renewable energy sources (RES). A novel, nature‐inspired algorithm named adaptive mixed grey wolf (amixed GWO), which combines two improved versions of GWO, was recently proposed in order to effectively handle a problem with both discrete and continuous variables. This algorithm was first applied to optimize the VSP‐based controller parameters based on integral square error (ISE). The performance of the proposed algorithm has been compared with FMINCON's interior‐point algorithm to demonstrate its positive effects on the system stability. For better dynamic performances, a new optimization approach based on eigenvalues sensitivity analysis was proposed for the purpose of achieving optimal VSP control variables tuning for different power system structures. Simulation tests were performed to show the higher level of stability performance achieved by the proposed approach compared to the one based on ISE. Simulation results also revealed that the amixed GWO technique has better tuning capability in comparison with the other applied GWO versions.

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