Design of Multivariable PI Controller Using Evolutionary Algorithms for VSP based AC/DC Interconnected Systems
Iman M. Hosseini Naveh (Azad Islamic University)
Elyas Rakhshani (TU Delft - Intelligent Electrical Power Grids)
Hasan Mehrjerdi (Qatar University)
Jose Luis Rueda Torres (TU Delft - Intelligent Electrical Power Grids)
P. Palensky (TU Delft - Intelligent Electrical Power Grids)
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Abstract
A new application of Multivariable Proportional-Integral (MPI) controller with using evolutionary algorithms for a VSP based AC/DC interconnected power system model is proposed. The VSP based HVDC model is added for mitigation of system frequency dynamics by emulating virtual inertia. The designed heuristic-based multivariable PI controller is proposed for better performance of the system's states during contingencies. The proposed MPI (MPI) controller is modified by adding optimisation-based evolutionary algorithms to improve characteristic performance model versus conventional control methods. Simulations results demonstrate how the proposed MPI controller can optimally improve the performance of the power system, especially when a VSP base inertia emulation is activated in the system.